1. Introduction
Concepts must carve nature at its joints, Socrates preached (Plato, 265e). Does the maxim apply for the categorization of the body in perception, thought, and language? The sensorial reality of perceptual boundaries in the segmentation of the body at its joints has been evidenced by studies in cognitive neuroscience (Shen, Smyk, Meltzoff, & Marshall, Reference Shen, Smyk, Meltzoff and Marshall2018) and in behavioral psychology (e.g., de Vignemont, Majid, Jola, & Haggard, Reference de Vignemont, Majid, Jola and Haggard2009; Knight, Cowie, & Bremner, Reference Knight, Cowie and Bremner2017; Knight, Longo, & Bremner, Reference Knight, Longo and Bremner2014), which show that joints, such as the wrist, have a category boundary effect on the perception of the body. Brown (Reference Brown1976) and Andersen (Reference Andersen, Greenberg, Ferguson and Moravcsik1978) notoriously claimed that the segmentation of the body lexicon is motivated by universal principles like shape, size, or visual discontinuities, and that body part terms are the linguistic labels of the perceptually predetermined conceptual parts. ‘From perception to language via conceptual thought’ sounds like a path upon which many psychologists, linguists, and anthropologists would be ready to embark. That path would naturally take us to the following syllogism: the same type of perceptual system is shared by all human beings, semantic boundaries come from perceptual and conceptual boundaries, therefore all languages segment the body according to the same universal rules. But, do they?
The contributors to a Special Issue of Language Sciences (Enfield, Majid, & van Staden, Reference Enfield, Majid and van Staden2006) provide evidence against that intuition. The series of studies challenged the universalist claims by providing evidence for the existence of a great diversity of linguistic categorization of the body. These findings and those of a later publication (Majid & van Staden, Reference Majid and van Staden2015) are summarized in Table 1.
This body of literature concludes that there are a number of lexical gaps found in a variety of languages, and thereby a great diversity of body part naming systems across languages that goes against the universal assumptions of Brown (Reference Brown1976) and Andersen (Reference Andersen, Greenberg, Ferguson and Moravcsik1978). Wierzbicka (Reference Wierzbicka2007) disagrees. According to Wierzbicka, a lexical gap for ‘hand’ would mean a conceptual gap, which is impossible due to the experiential salience of this body part. Consequently, she explains that if a language only has one word to refer to both concepts ‘hand’ and ‘arm’ (e.g., ręce in Polish) it is because this single word has a plurality of meanings, i.e., is polysemous. Hence the language diversity advocates are wrong in defending semantic generality, and are also guilty of exoticizing these non-Western world languages by suggesting their speakers have no concept for the words that are missing in their body lexicon. Levinson (Reference Levinson2006), a contributor to the Special Issue, did however write that the lexical gaps are not conceptual gaps. But in Wierzbicka’s defense, contributors to the Special Issue did not make a systematic distinction between language and conceptualization: “[w]e offer this collection as a step in reviving interest in the empirical study of the way in which human beings conceptualize and categorize their bodies as physical entities with parts” [our emphasis] (Enfield et al., Reference Enfield, Majid and van Staden2006, p. 146). It is thus not exactly clear if the findings reported in Table 1 display the great diversity of body categorization in language only, or also in thought. Majid (Reference Majid and Taylor2015, p. 376) takes a clearer stand on the relation between language and thought and points out that “it may well be that every speaker has a distinct non-linguistic concept of hand, but not all concepts are reflected in the lexicon”. As Majid points it out, when Wierzbicka (Reference Wierzbicka2007, p. 29) writes that “the most reliable evidence for the presence of such a concept is the presence of a word”, this arguably constitutes one of the main weaknesses of the universalist argument because it conflates (linguistic) meaning and (non-linguistic) concepts. At the core of this debate lies two broad theoretical questions: that of linguistic diversity vs. language universals, and that of the interaction between language and thought.
The methods employed to address these questions are also at the crux of the debate. Wierzbicka harshly criticizes the methods used by the diversity group as reductionist and theoretically empty. According to her, the decontextualized nature of the body coloring method cannot establish the polysemy of a word (Wierzbicka, Reference Wierzbicka2007, p. 17). She claims that a more valid methodological alternative would be that of the natural semantic metalanguage (NSM) framework. The NSM method is based on a “mini‑language” (Wierzbicka, Reference Wierzbicka2007, p. 18; Wierzbicka & Goddard, Reference Wierzbicka and Goddard2017, p. 32) that describes the 65 universal semantic primes of the NSM framework. This is indeed a theoretically heavy method in contrast to the “theoretical vacuum” (Wierzbicka, Reference Wierzbicka2007, p. 17) that the diversity contributors are charged with. The validity of Wierzbicka’s critique and the solution the NSM has to offer can, however, be questioned. Arguably, a fundamental prerequisite for comparing meaning across languages (i.e., doing semantic typology) is the use of an etic, culturally neutral, and hence non-language-specific space, against which different meanings can be compared. The mini-language used by the NSM, which has as many versions as there are languages, works against any possibility for a neutral etic space. No matter how constrained the use of these ‘universal language-specific labels and definitions’ are, they inherently run the risk of introducing as many emic biases as there are languages. In contrast, the non‑linguistic nature of the body coloring task provides a culturally neutral etic space advocated by others (Majid & van Staden, Reference Majid and van Staden2015, p. 586).
The present paper aims to move the debate forward by addressing the following general research questions:
-
• RQ1. How can we compare meaning across languages?
-
• RQ2. Are body lexicons linguistically diverse?
-
• RQ3. Does language shape thought?
It would be naively ambitious to promise answers to these fundamental questions within the scope of a single paper. We only aim to address RQ1 by motivating the methodological decisions we made with a set of principles that we think are necessary, albeit not sufficient, to include in methods of semantic typology in general, and in the study of body lexicons across languages in particular (Section 2). RQ2 is addressed by implementing these principles in a study where 90 speakers of three unrelated languages (French, Indonesian, and Japanese) are asked to perform our ‘version 2.0’ of the body coloring task, which was simultaneously video-recorded. The results of this study, reported in Section 3, demonstrate both diversity and cross-linguistically shared patterns in our limited sample of languages. To help us address RQ3, we also report an analysis of the video‑recorded performances in Section 3. Specifically, we provide evidence for a case of misalignment between language and thought: the lexical units that collapse the hand–arm (tangan) and leg–foot (kaki) distinctions in Indonesian do not match the discontinuous coloring performances of its speakers, who color the upper and lower limb in two clear sequences at the level of the wrist and ankle joints, respectively. This important finding suggests that the language we speak does not determine the way we think about the body and its parts, thereby arguing against the conflation of language and thought. We take stock of these findings in Section 4 and discuss their broader methodological and theoretical implications for semantic typology. We offer some concluding thoughts in Section 5.
2. Methods
The stimuli, procedure, and analysis are developed from the body coloring task originally designed in van Staden and Majid (Reference van Staden and Majid2006) and applied in Majid and van Staden (Reference Majid and van Staden2015).
2.1. languages and participants
Data were collected from 90 adult L1 speakers of French (30), Indonesian (30), and Japanese (30). A criterion for recruiting participants was that they should not be educated in medical studies, as their description would not reflect the knowledge of the human anatomy of the average population. Particular attention was paid to collecting the data at the same place and from speakers who grew up speaking French, Indonesian, and Japanese as their first language. These recruitment criteria are particularly important for the representativeness of the Indonesian data. Indonesian is the national language of Indonesia, and the official language of the country’s administration, government, and mass media (Sneddon, Adelaar, Djenar, & Ewing, Reference Sneddon, Adelaar, Djenar and Ewing2012). There are substantial regional variations within Indonesian in part due to the fact that it is mostly acquired as L2 by speakers whose L1 is a regional language (e.g., Balinese, Batak, Javanese, Sundanese, and the numerous languages of East Indonesia and Papua) (Tadmor, Reference Tadmor and Comrie2017). What is referred to in this paper as Indonesian is more specifically colloquial Jakarta Indonesian (Sneddon, Reference Sneddon2006), which is a variety that is spoken in Jakarta. It is the language of television series and movies, and therefore understood throughout Indonesia. We selected participants who grew up and live in Jakarta, speaking colloquial Jakarta Indonesian as their first language. The Indonesian data was thus collected in Jakarta, the French data was collected in Lyon, France, and the Japanese data in Tokyo, Japan.
2.2. stimuli
The stimuli were compiled in a booklet and consisted of identical body pictorial representations printed on separate sheets of paper. The body representations include both the front and the back of an androgenized and physiognomically neutral human being. A body part term in the target language appeared centered at the top of each sheet (Figure 1).
For the present study, we selected 18 to 20 body part terms per language on the basis of their frequency of use in an elicitation task in which 30 French, Indonesian, and Japanese participants had to describe pictures of injuries located on various areas of the body (Devylder, Kozaï, & Siahaan, unpublished observations). The stimuli are summarized in Figure 2, indicating where the injury was located on the human body with what was depicted to be the cause of the injury in brackets.
By selecting the body part terms to include in this way, we were able to avoid any presupposition on the hierarchical status of these terms. For example, it is unclear why Majid and van Staden (Reference Majid and van Staden2015) omitted the Indonesian body part term lengan, mentioned in Brown (Reference Brown1976, p. 418). The authors may have considered the term to be hierarchically dependent on tangan, in the same way that forearm is part of arm in English. However, there is no empirical evidence supporting the existence of such a hierarchical relation between tangan and lengan: neither dictionary entries (Stevens & Schmidgall-Tellings, Reference Stevens and Schmidgall-Tellings2004, pp. 575, 995)Footnote 1 nor L1 Indonesian speaker intuitions suggest that tangan is more basic than lengan. Given that Wierzbicka’s (Reference Wierzbicka2007) core argument against the diversity of body categorization in language is anchored in the claim that all languages have a term for ‘hand’, the semantic extension of lengan is both too uncertain and too central to the debate to be omitted from the stimuli a priori.
Moreover, Majid and van Staden (Reference Majid and van Staden2015, pp. 575–576) only included the Japanese term ashi 足 in the design of their task, and excluded its homophone ashi 脚. Both terms have the same pronunciation but are written with different characters, which suggests a potentially different meaning. Following the same rationale as above, both characters were included in the Japanese elicitation booklets. In sum, a guiding principle in the design of semantic typology elicitation tools should perhaps be ‘when in doubt, leave it in’.
As the original procedure indicates (van Staden & Majid, Reference van Staden and Majid2006), participants who have just colored in a term for foot from the ankle to the toes could be reluctant to include the ankle in the sheet where they are asked to color in a term for leg. We wanted to measure whether the order of presentation affected participants’ performances and thus split the 30 participants of each target language into three groups. The first group had a randomly organized booklet; the second group was given a booklet that organized the body part terms from larger to smaller body segments and from the top down (e.g., arm > shoulder > upper arm > elbow > forearm > wrist > hand > finger > fingernail); and the third group was given a booklet that was arranged from smaller to larger body segments and from the bottom up (e.g., fingernail > finger > hand > wrist > forearm > elbow > upper arm > shoulder > arm).
2.3. elicitation procedure
Participants were given booklets and instructions to color in the body part that is named on each page. All instructions and communication between the experimenter and the participants were done in the target language. The instructions were to color in all of the body part, and only the body part listed on each page. Participants started with five training pictures, during which the experimenter calibrated the experiment if needed. We replaced the fine‑liner blue pen of the 2015 procedure with a wedge-shaped highlighter to allow participants both to color large areas with minimal effort and to precisely draw boundaries with the tip of the wedge shape. All experiments were video-recorded. We thus had two types of raw data to code: the colored-in booklets and the video-recorded performances.
2.4. the anatomical grid as an etic yardstick
Using English as a ‘yardstick’ is economical and convenient because we can assume that all readers know what the English terms hand and foot refer to, more or less. While the use of English is fine and perhaps even necessary to summarize studies, however, it should be avoided both in the analysis and in the interpretation of results. For example, as mentioned in the ‘Introduction’, the NSM approach is based on a “mini-language” (Wierzbicka, Reference Wierzbicka2007, p. 18; Wierzbicka & Goddard, Reference Wierzbicka and Goddard2017, p. 32) often presented in its English version, but which has “as many versions as there are languages”. The problem of using English as a universal yardstick is already problematic in semantic typology because we do not know the length of the stick, and therefore cannot really measure anything against it. Of course, using as many yardsticks as there are languages to demonstrate universal tendencies across languages makes the validity of cross-linguistic analyses very difficult to achieve. Hence the call from Majid and van Staden (Reference Majid and van Staden2015, p. 586) to use “a neutral etic space (a non-linguistic representation) for better capturing the otherwise invisible differences in reference between specific languages”.
To answer that call, we developed a non-linguistic and culturally neutral system in the form of the anatomical grid illustrated in Figure 3. The goal was to find a way to segment the body into zones that were not bound to any language-specific categorization of the body. We therefore segmented the upper and lower limbs into zones based on the anatomical boundaries formed by the multiplicity of muscles, tendons, and bones that constitute the human body. So, for instance, zone A1 corresponds to the clavicule + platysma, zone A2 to the pectoralis major, zone A3 to the deltoid, and so on. This anatomical grid consisted of 63 zones (the complete description of which is listed in ‘Appendix 1’) and allowed us to measure the semantic extensions of body part terms and to compare them across languages against a stable and etic yardstick.
2.5. annotation procedure of the colored-in booklets
We scanned all colored-in booklets, and superimposed the anatomical grid on each colored-in body schema in Adobe Photoshop. We then measured the surfaces that were colored by each participant for each body part term with the Adobe Photoshop pixel counting tool. This tool allowed us to measure the colored‑in surface for each term and for each participant (e.g., Participant FRE‑2S‑12 colored in 1,024 pixels of A3 for the term bras) and the maximum pixel density for each anatomical zone (e.g., A3 = 39,693 pixels). Our raw data thus consisted of three large tables (i.e., one per language) with anatomical zones as columns, individual body part terms colored in per participant as rows, and pixel density as the value for each cell. By distributing the total colored surface over anatomical zones, the anatomical grid allowed us to locate the semantic extension of a body part term more precisely than with the 2015 procedure. In contrast, the 2015 procedure could only compare the total extent of colored-in surfaces, and could not provide quantifiable information on the actual location of the colored-in surface. For example, we could have two identical colored-in surfaces (e.g., c.25,000 pixels) for the Dutch term arm and the Japanese term ude but no indication about the location of the colored-in surface on the upper limb (e.g., one surface could start from the shoulder and end mid-forearm, and the other start lower but extend further down the wrist region: both would have similar total surfaces but different semantic extensions).
2.6. annotation procedure of the video-recorded performances
The video-recordings of the body coloring task performances allowed us to capture a phenomenon that could not have been observed by only looking at the final result of the task (i.e., the completed colored-in booklets). The video data was imported into ELAN (Lausberg & Sloetjes, Reference Lausberg and Sloetjes2009) and annotated as follows. If a participant’s coloring performance was done in one continuous fashion, the corresponding elicited body part term was assigned the value 0. If a participant’s coloring performance was done in two clearly distinct sequences (i.e., by marking a pause at the level of the wrist joint for more than 1.5 seconds), then the corresponding elicited body part term was assigned the value 1.Example 1 illustrates such discontinuous coloring performances.
In Example 1, the participant starts by coloring the extremity of the upper limb until approximately zone A13 (i.e., the wrist) and lifts up his pen at 00:22:990 seconds (1a). He then marks a long pause of 7 seconds until he starts coloring again at 00:30:000 (1b) from the top of the upper limb and finishes his coloring performance of tangan at 00:39:930 (1c) before moving on to the next page of the booklet. This coloring performance of tangan was thus given the value 1.
3. Results
We address RQ2 by asking our dataset if there are body part terms that collapse the wrist/ankle boundaries and terms that mark the distinction without being hierarchically dependent of one another in French (FRE), Indonesian (IND), and Japanese (JPN). To address this research question, we limited our analyses to terms that were likely to meet these criteria according to the previous literature (e.g., Brown, Reference Brown1976; Majid & van Staden, Reference Majid and van Staden2015; Wierzbicka, Reference Wierzbicka2007) or which could not be clearly excluded from meeting them (e.g., the existence of lengan (IND) and ashi 脚 (JPN)). We first report the semantic extensions of this list of body part terms within language groups (3.1) before comparing them across languages (3.2). Finally, we analyze the results of the video-recorded performances (3.3).
3.1. the semantic extensions of body part terms within language groups
3.1.1. French
As described in Section 2.5, each anatomical zone has a total surface measured in pixel density. For example, A7 (i.e., the biceps muscle) has a total density of 20,303 pixels. As can be seen in Chart 1, the area of A7 colored in by the 30 French participants, when asked to indicate the surface of the body corresponding to the term bras, measured on average 19,897 pixels, or 98% of the total surface of A7. In contrast, the area of A7 colored in by the same participants, when asked to indicate the surface of the body corresponding to main, measured 0 pixel, or 0% of A7.
For bras, there was a decrease in pixel density between A14 and A15 that coincided with an increase in pixel density between the same zones for main. This pattern suggests that the meanings of bras and main do not overlap in French. Because they are both contiguous and largely non-overlapping, we can further conclude that the meaning of bras and main are not hierarchically dependent on one another (e.g., one is not part of the other) and at same level of partonomic depth (i.e., level B in Andersen, Reference Andersen, Greenberg, Ferguson and Moravcsik1978; Majid, Reference Majid, Malt and Wolff2010). In contrast, the comparison of the semantic extensions of bras and avant-bras in Chart 2 is an example of two semantic extensions that overlap (from A9 to A14), where the colored area of the latter was larger than the colored area of the former. We can interpret this overlap as an index for a hierarchical relation between the two terms (e.g., avant‑bras ‘forearm’ is a part of bras ‘arm’).
As described in Section 2.2, each language group was split into three groups who were given a differently ordered booklet. We compared whether the area that the French speakers colored-in for bras was affected by the order of presentation of the stimuli by conducting a one-way ANOVA with order of presentation (random, top-down, bottom-up) as the independent variable and the pixel density of the colored anatomical zone A15 as the dependent variable. We selected A15 as the dependent variable because it was the point at which the average proportion of pixel density decreased in the coloring performance of bras (Chart 1). In this way, we were able to assess whether French participants who have been asked to color in main before bras (i.e., the bottom-up group) were more likely to extend the meaning of bras to the tip of the fingers than participants who were given a differently ordered booklet. The one-way ANOVA revealed no significant effect of order of presentation on the pixel density of A15 (F(2,27) = 0.94, p > .405).
As with any study based on a limited sample of a population, the semantic extensions reported in this section are to be taken with a pinch of salt with regard to their representative power. The shannon β-diversity index (Whittaker, Reference Whittaker1972) can tell us how big that pinch is. The β-diversity index is obtained by measuring the number of distinct anatomical zones that participants colored-in for each term. Since we have 30 participants in each language group, the β-diversity index ranges from 1.00, indicating the exact same distribution of the number of colored-in anatomical zones for a body part term by all 30 participants (i.e., the semantic extension of the body part term is exactly the same), to 30.00, indicating divergent distributions, without any overlap between the participants’ performances (i.e., 30 completely different semantic extensions of the same body part term). In sum, the higher the β-diversity index, the lower the consistency within a language group per elicited body part term, such that β = 30.00 means maximally inconsistent answers, and β = 1.00 means maximally consistent answers (see Whittaker, Reference Whittaker1972, pp. 232–235) for the formula, and a detailed account of how to calculate this metric). The β-diversity index for the coloring performances was 1.78 for bras and 1.02 for main. Taken together, the lack of effect of presentation order and the β-diversity index suggest that the semantic extensions of bras and main are quite robust and not subject to significant intrapersonal variation in French.
Chart 3 reveals the same pattern observed in the comparison of main and bras for the lower limb terms jambe and pied. The pixel densities decreased and increased with the same magnitude at the same point and largely did not overlap. We thus conclude that jambe and main are not hierarchically dependent on one another and are at same level of partonomic depth.
A one-way ANOVA revealed no significant effect of order of stimulus presentation (random, top-down, bottom-up) on the pixel density of B20 (F(2,27) = 0.59, p > .563). We selected B20 as the dependent variable because it was the zone where the average proportion of pixel density decreased in the coloring performance of jambe (Chart 3). The ANOVA thereby indicates that the presentation order had no effect on excluding the ‘pied segment’ from the semantic extension of jambe. The β-diversity index for the coloring performances was 1.54 for jambe and 1.10 for pied. We can conclude that the semantic extensions of jambe and pied are quite robust in French.
In sum, French has two distinct terms for the upper limb and two distinct terms for the lower limb that do not stand in a hierarchical relation with each other and that semantically mark the wrist joint boundary and the ankle joint boundary, respectively.
3.1.2. Japanese
The semantic extensions of the body part terms ude 腕 and te 手, as elicited by the body coloring task, are reported in Chart 4. If we compare the average proportions of colored-in anatomical zones for ude 腕 and te 手, we notice a similar pattern to the French coloring for the two upper limb terms. There was a clear decrease in pixel density between A14 and A15 for ude 腕 that coincided with an increase in pixel density between the same zones for te 手. We thus conclude that ude 腕 and te 手are not hierarchically dependent on one another and are at the same level of partonomic depth (i.e., one is not part of the other).
A one-way ANOVA revealed no significant effect of order of stimulus presentation (random, top-down, bottom-up) on the pixel density of A15 (F(2,27) = 1.58, p > .225). The β-diversity index for the coloring performances was 1.83 for ude 腕 and 1.11 for te 手. Thus, the semantic extensions of ude 腕and te 手 are quite robust and not subject to interpersonal variation in Japanese.
As mentioned in Section 2.2, there are two kanji for ashi in Japanese (脚 and 足). We tested both characters, given that there was insufficient evidence to exclude either one, on the basis that, for example, one was more basic than the other. Chart 5 illustrates the semantic extensions of these two lower limb terms.
The distribution of pixel densities was quite different from the ‘density overlap’ pattern found between the semantic extensions of bras and avant-bras in French (Chart 2), and which can be considered typical of a hierarchical relation (e.g., part–whole). The pattern illustrated in Chart 5 was also quite different from the clear-cut ‘density reversal’ pattern observed in the comparison of ude 腕 - te 手 (Chart 4), jambe–pied (Chart 3), or bras–main (Chart 1).
In particular, there was overlap in pixel density for the two terms in B6 to B15, suggesting that Japanese speakers did extend the meaning of ashi 2 足 to this area of the lower limb but on average less so than the semantic extension of ashi 1 脚. There was also a density reversal between B15 and B17, with lower amplitude than the cases reported above (e.g., jambe–pied) but still quite noticeable. In other words, only some Japanese speakers considered that the meaning of ashi 2 足 extended to zones B6–B15 (i.e., the English leg, intuitively), whereas all considered that the meaning of ashi 1 脚 did. Moreover, only some Japanese speakers considered that the meaning of ashi 1 脚 did not extend to zones B17–B22 (i.e., the English foot, intuitively), whereas all considered that ashi 2 足 did. The question is, then, whether the pixel density reversal was significant or not. These two terms are homophones and both refer to the lower limb, therefore we might predict that they have relatively similar meanings and that the differences observed in the descriptive statistics are not significant. To assess whether this null hypothesis could be rejected, we conducted paired samples t‑tests on the measures of pixel densities of the two zones that are adjacent to the density reversal (B15 and B17). These tests revealed significant differences for both B15 (t = –4.04, df = 34.77, p-value < .001) and B17 (t = 3.59, df = 29.45, p-value = .001), allowing us to reject the null‑hypothesis and conclude that ashi 1 脚 ashi 2 足 have different semantic extensions.
We compared whether the area that the Japanese speakers colored in for ashi 1 脚 was affected by which stimulus booklet they received with a one-way ANOVA with order of presentation (random, top-down, bottom-up) as the independent variable and the pixel density of the colored anatomical zone B17 as a dependent variable. This analysis revealed no significant effect of presentation order on the pixel density of B17 (F(2,27) = 1.58, p > .225). Another one-way ANOVA was performed for ashi 2 足 and likewise revealed no significant effect of presentation order on the pixel density of B17 (F(2,27) = 1.19, p > .829). The β-diversity index for the coloring performances was 1.54 for ashi 1 脚 and 1.17 for ashi 2 足.
In terms of written language resources, Japanese has two distinct words for the upper limb that do not stand in a hierarchical relation with each other, and that semantically mark the wrist joint boundary. In contradiction to Majid and van Staden's (Reference Majid and van Staden2015, p. 573) conclusion that Japanese does not have a word for ‘foot’, the present findings suggest that Japanese also has two distinct words for the lower limb that mark the ankle joint boundary. Whether Japanese speakers use both characters is a question that cannot be addressed by the body coloring task method and remains for future research.
3.1.3. Indonesian
Chart 6 illustrates the semantic extensions of two Indonesian upper limb terms lengan and tangan. The comparison of pixel density distribution across anatomical zones for lengan and tangan revealed a pattern comparable to that of the French bras and avant-bras (compare Chart 6 and Chart 2). The semantic extensions of both terms overlapped on some anatomical zones (A8–A12), before the pixel density of lengan declined in A13 and A14, and dropped off at A15. This overlapping pattern of distribution suggests that lengan is hierarchically related to tangan (e.g., lengan is part of tangan).
Separate one-way ANOVAs revealed no significant effect of presentation order (random, top-down, bottom-up) on the pixel density of A15 for lengan (F(2,27) = 1.58, p > .224) and for tangan (F(2,27) = 0.30, p > .742). The β‑diversity indices for the coloring performances of both terms were relatively higher (lengan: 3.23; tangan: 2.40) than for the French and Japanese performances, suggesting that the meanings are more subject to intrapersonal variation. Although we were careful with the recruitment of Indonesian participants, as detailed in Section 2.1, the multilinguistic environment of Indonesia introduces a multitude of other factors that could potentially impact the robustness of the speaker’s semantic knowledge (e.g., language contact with other local languages, speaker’s parents’ L1, etc.). This ecological specificity could explain why the diversity is relatively higher than for French and Japanese, and should be considered in future research.
Based on the elicitation task that we used to select body part terms for inclusion in the body coloring task, there are no words other than kaki in Indonesian that refer to part of the lower limb without being hierarchically related to kaki (e.g., pergelangan kaki ‘ankle’). Chart 7 illustrates the semantic extension of kaki in Indonesian.
A one-way ANOVA revealed no significant effect of presentation order (random, top-down, bottom-up) on the pixel density of B20 (F(2,27) = 2.55, p > .096). We selected B20 as the dependent variable because it was the zone where the average proportion of pixel density was more likely to change, as it did in French (Chart 3). The β-diversity index for the coloring performances of kaki was 1.26. We can therefore conclude that the semantic extension of kaki is quite robust in Indonesian.
In sum, lengan can now safely be ruled out as a term whose semantic extension is hierarchically unrelated to tangan, and we can thus conclude that Indonesian has a term (tangan) whose meaning extends to both sides of the wrist joint boundary. Similarly, Indonesian also has a term (kaki) whose meaning extends to both sides of the ankle joint boundary.
3.2. the semantic extensions of body part terms across language groups
In this section, the semantic extensions of the selected body part terms are compared across languages. To address RQ2, we look for diversity as well as cross-linguistically shared patterns. All supporting ANOVA and post-hoc Bonferroni tests are reported in Tables 2–5 of ‘Appendix 2’.
3.2.1 Upper limb
As can be seen in Chart 8, the distributions of pixel density for bras (French) and ude 腕 (Japanese) were very similar from A1 to A18. The distribution of pixel density for tangan (Indonesian) was comparable to that of bras and ude 腕 from A1 to A13. However, the meaning of tangan also extended to zones A14–A18, whereas the pixel density for ude and bras decreased at the ‘wrist joint’ zones A13/A14 (i.e., the palmar and dorsal carpal ligament, respectively).
To test whether the differences in pixel density reported for A1–A18 were statistically significant, we conducted separate one-way ANOVAs for each of the 18 anatomical zones, with language (French, Japanese, Indonesian) as the independent variable (Table 2). These analyses revealed a significant effect of language on pixel density for A5, A7–A11, and A15–A18. Post-hoc Bonferroni tests further revealed that Indonesian tangan differed from French bras (A5, A7), Japanese ude 腕 (A9, A10), and from both (A8, A11, A15–A18). These analyses also confirmed that French bras and Japanese ude 腕 did not differ.
The distributions of pixel density for main (French) and te 手 (Japanese) appeared to be very similar to each other and quite different from that of tangan (Indonesian), as illustrated in Chart 9.
To test whether these observed differences in pixel density were statistically significant, we once again conducted a separate one-way ANOVA for each of the 18 anatomical zones, with language (French, Japanese, Indonesian) as the independent variable (Table 3). These analyses revealed a significant effect of language on pixel density for A3–A18. Post‑hoc Bonferroni tests further revealed that Indonesian tangan differed systematically from Japanese te 手 and from French main (with the exception of A15 and A16). These analyses also confirmed that French bras and Japanese ude 腕 did not differ.
To summarize, the following generalizations can be inferred from the results of the upper limb coloring task in French, Indonesian, and Japanese:
-
1. French and Japanese use the same type of naming system to refer to the upper limb, which is characterized by:
-
a. The absence of a general term for the whole upper limb;
-
b. The presence of two distinct terms that are semantically contiguous and hierarchically independent of each other;
-
c. Respecting ‘the wrist joint boundary rule’: the semantic extensions of the two distinct terms do not extend beyond an area of the human body that is constituted by the palmar and dorsal carpal ligaments (i.e., ‘the wrist joint’).
-
-
2. Indonesian uses a distinct naming system for the upper limb, which is characterized by:
-
a. The presence of a general term for the whole upper limb;
-
b. The absence of two distinct terms that are semantically contiguous and hierarchically independent of each other;
-
c. Violating ‘the wrist joint boundary’ rule: the semantic extension of the upper limb term extends beyond the palmar and dorsal carpal ligaments.
-
-
3. All three languages respect ‘the shoulder joint boundary rule’: French, Indonesian, and Japanese do not have a general upper limb term that extends to the area of the upper limb that is constituted by the clavicula, platysma, and deltoid (i.e., the shoulder joint).
In sum, in our limited sample of languages, we found diversity in the naming system of the upper limb body parts (1. vs. 2.) and a cross-linguistically shared pattern (3).
3.2.2. Lower limb
As can be seen in Chart 10, the distribution of pixel density for jambe (French) and ashi 1 脚 (Japanese) was relatively similar, albeit with some notable differences (e.g., B17–B22). The distribution of pixel density for kaki (Indonesian) was comparable to that of jambe and ashi 1 脚 (e.g., B1–B4) but also quite distinct (e.g., B18–B22).
To test whether these observed differences in pixel density were statistically significant, we conducted a separate one-way ANOVA for each of the 22 anatomical zones, with language (French, Japanese, Indonesian) as the independent variable (Table 4). These analyses revealed a significant effect of language on pixel density for every zone but B16 (i.e., superior extensor retinaculum, a group of tendons that extends from the ankle to the heel bone). Post-hoc Bonferroni tests further revealed that the pixel density of every lower limb anatomical zone for Indonesian kaki differed from that for French jambe, with the exception of B16. Similarly, pixel density differed between Japanese ashi1 脚 and Indonesian kaki, with the exception of B2 and B16–B18. Finally, post-hoc Bonferroni tests revealed that there was, overall, no difference in pixel density between Japanese ashi1 脚 and French jambe, with the exception of B2–B4 and B18.
As can be seen in Chart 11, pied (French), ashi 2 足 (Japanese), and kaki (Indonesian) displayed a relative overlap in pixel density from B19 to B22. French pied, however, appeared to have a distinct semantic extension from that of ashi 2 足 and kaki in pixel density for B1–B18. In contrast, the pixel density of B1–B16 largely overlapped for ashi 2 足 and kaki.
We conducted a separate one-way ANOVA for each of the 22 anatomical zones to test whether these differences are significant with language (French, Japanese, Indonesian) as the independent factor (Table 5). A significant effect of language on pixel density for every zone. Post‑hoc Bonferroni tests further revealed the pixel density of French pied and Indonesian kaki to differ for almost every zone. The pixel density of French pied and Japanese ashi 2 足 differed for B1–B18, but not for B19–B22, such that there was some semantic overlap between the two terms. The pixel density for Japanese ashi 2 足 and Indonesian kaki did not differ for most anatomical zones (B1–B18), suggesting substantial semantic overlap between the two terms.
On the one hand, Japanese and French can be grouped together on the basis of having a term that extends to a segment of the lower limb that stops at the ankle joint (jambe and ashi 1 脚, respectively), in contrast to Indonesian, which has a term which violates the ‘ankle joint boundary rule’ (kaki). On the other hand, Japanese also has a term (ashi 2 足) that semantically overlaps with both Indonesian kaki (from B1 to B16) and with French pied (from B19 to B22). In terms of linguistic systems and written language resources (in contrast to language use) it is, at this point, difficult to force Japanese into either the French type of naming system, which has two distinct, contiguous, and hierarchically independent terms for the lower limb, or the Indonesian type, which has one term that extends to the whole lower limb. We will thus refrain from making generalizations on the Japanese lower limb naming system but can, however, infer from our overall results the following generalizations:
-
1. French uses a type of naming system to refer to the lower limb that is characterized by:
-
a. The absence of a general term for the whole lower limb;
-
b. The presence of two distinct terms that are semantically contiguous and hierarchically independent of each other;
-
c. Respecting ‘the ankle joint boundary rule’: the semantic extensions of the two distinct terms do not extend beyond an area of the human body that is constituted by the bottom of the tibia and fibula, the talus, maleollus, and calcaneus (i.e., ‘the ankle joint’).
-
-
2. Indonesian uses a distinct naming system for the lower limb, which is characterized by:
-
a. The presence of a general term for the whole lower limb;
-
b. The absence of two distinct terms that are semantically contiguous and hierarchically independent of each other;
-
c. Violating ‘the ankle joint boundary’ rule: the semantic extension of the lower limb term extends beyond the tibia and fibula, the talus, malleolus, and calcaneus (i.e., ‘the ankle joint’).
-
-
3. All languages respect ‘the hip joint boundary rule’: French, Indonesian, and Japanese do not have a general lower limb term that extends to the upper lower limb area (i.e., the hip joint).
The cross-linguistic analyses reported in this section illustrate the comparative potential and etic validity of the method we employed in this study. The anatomical grid provides a non-linguistic and culturally neutral yardstick against which we can compare the semantic extension of body part terms across languages. This solves the problem of having to use the emic mini-language of NSM and the pitfalls that come with it. Moreover, this method also allows us to sustain the etic perspective in reporting our results, as there is no need to turn to English as a metalanguage to conclude that ‘language X has, or does not have a term for Y’, where Y is often reported as an English body part term that inevitably comes with its own language-specific, emic perspective.
3.3. linguistic meaning vs. non-linguistic categorization
The results reported in Sections 3.1 and 3.2 indicate that Indonesian uses a type of body part naming systems that violates ‘the wrist joint boundary’ rule (with the term tangan) and the ‘ankle joint boundary’ rule (with the term kaki), according to which all languages of the world should have distinct and hierarchically independent terms to refer to the body segments situated on each side of the joint boundary (e.g., main and bras in French). However, pace (Wierzbicka, Reference Wierzbicka2007, p. 29) defending that “the most reliable evidence for the presence of such a concept is the presence of a word” and sec. Majid (Reference Majid and Taylor2015, p. 376) answering that “not all concepts are reflected in the lexicon”, the fact that Indonesian violates the joint boundary rule in language does not entail that this is necessarily the case in thought. To paraphrase what Goldin-Meadow and Alibali (Reference Goldin-Meadow and Alibali2013, p. 269) write about gesture, the coloring performances of participants “provides a second window onto the speaker’s thoughts, offering insight into those thoughts that cannot be found in speech”. More specifically applied to our study, we propose that a discontinuous coloring performance can be interpreted as an index for conceptual discontinuity. For example, in the 90 coloring performances of terms for the upper limb in the three languages, not one participant interrupted their coloring in the middle of the forearm, hence suggesting that this is not a conceptual boundary.
As detailed in Section 2.6, the coloring performances of each participant were coded as discontinuous if done in two clearly distinct sequences. These performances revealed that a substantial number of Indonesian participants stopped at the wrist joint (26 out of 30) and at the ankle joint (21 out of 30) when coloring the regions of the body that corresponded to the meaning of tangan and kaki, respectively. The coded drawings from the French and Japanese speakers likewise showed that a majority of participants colored upper and lower limbs in two discontinuous segments.
In sum, the following generalization can be inferred from the results of this analysis: the Indonesian body part naming system does not align with the Indonesian body categorization in thought. More broadly, the way we speak of the body does not necessarily determine the way we think about it.
4. General discussion
The study reported in the present paper address a number of methodological and theoretical questions that are central to semantic typology. Methodologically, we controlled for factors that could potentially skew the results of the body coloring task: the multilinguistic environment of participants, their expertise in human anatomy, and the order of presentation of the stimuli. We also implemented an etic perspective at every step of the procedure: in the design of the stimuli, in the coding and analysis of the data, and in the interpretation of results.
Wierzbicka argues that there are no lexical gaps for the concept of ‘hand’ due to its universally shared experiential salience, whereas Majid and van Staden (Reference Majid and van Staden2015, pp. 573–574) claim that: “in Indonesian there is no everyday word that corresponds to hand.” However, reporting this result as a lexical gap can be problematic. Concluding that ‘language X does not have a word for Y’ inherently introduces the emic bias of Y. In the case where Y is the English body part term hand and X is the Indonesian language, then yes, from an Anglocentric perspective, Indonesian does not have a word for hand. But reversing the emic perspective – where Y is the Indonesian body part term tangan and X is the English language – then it is English that does not have a word for the whole upper limb. Using English as a metalanguage is inevitable in academic communication, but a guiding principle in semantic typology should be to limit the introduction of culture-specific biases of the English language to the absolute minimum. We have taken a step further towards that goal by reporting the results of our study as follows: Indonesian belongs to a type of body lexicons that is characterized (among other criteria listed above) by the presence of a general term for the whole upper limb, and the absence of two distinct upper limb terms that are semantically contiguous and hierarchically independent of each other. The progress is humble, but not trivial if the etic perspective is to prevail in methods of semantic typology, as we argue it should.
Theoretically, the present findings have a bearing on the interaction of language and thought. As pointed out in the ‘Introduction’, conflating language with thought is a major weakness of Wierzbicka's (Reference Wierzbicka2007) NSM approach. Although there is a large body of evidence for a close interaction between language and thought, this interaction does not equal conflation, as a strong version of the Whorfian hypothesis would imply:
We dissect nature along lines laid down by our native languages. […] [T]he world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds – and this means largely by the linguistic system in our minds. (Whorf, Reference Whorf2013, p. 213)
In the domain of metaphors, some metaphorical expressions appear to be part of a system that aligns with a system of thoughts (e.g., Casasanto & Dijkstra, Reference Casasanto and Dijkstra2010) and that can influence reasoning (e.g., Thibodeau & Boroditsky, Reference Thibodeau and Boroditsky2011). But there are also sets of linguistic metaphors that do not align with mental ones (e.g., Casasanto & Bottini, Reference Casasanto and Bottini2014) and that even contradict them (e.g., de La Fuente, Casasanto, Román, & Santiago, Reference de La Fuente, Casasanto, Román and Santiago2015). One of the main contributions of the present paper has been to test the ‘language reflects thinking’ hypothesis in the domain of body categorization. We found that there is linguistic diversity in naming body parts across three unrelated languages, but that this diversity does not determine variation in thought. Recent findings (Knight, Bremner, & Cowie, Reference Knight, Bremner and Cowie2020) likewise demonstrate that body lexicons may not shape perception, as having a single term for the entire upper limb (in Croatian) does not impact the boundary effect of the wrist joint in tactile perception.
The study reported in the present paper also allowed a cross-linguistically shared pattern to emerge. Namely, none of the upper limb terms in French, Indonesian, or Japanese extended to the shoulder joint, and none of the lower limb terms extended to the hip joint. This finding can be interpreted as evidence for the role of visual discontinuities and functional salience of certain body parts across body lexicons. Taken together, our data support Majid and van Staden (Reference Majid and van Staden2015, p. 587): “[s]peakers are clearly attuned to visual discontinuities, but the specific discontinuities they pay attention to are language-specific.”
In order to better understand the interaction of language, thought, and perception and to make testable hypotheses, we need a model and a coherent theoretical framework that has greater explanatory potential than a series of isolated findings. This is indeed dearly needed as its absence leaves room for criticism like Wierzbicka (Reference Wierzbicka2007, p. 17), who denounces the “theoretical vacuum” and ill-suited methodology of the body coloring task to articulate “a given word’s range of use”. Three comments can be made about Wierzbicka’s critique. First, the body coloring task has never claimed to elicit “the range of use” of body part terms; it maps the meaning of semantic systems, or body lexicons (i.e., language systems not language use, langue not parole). Second, the NSM mini-language is not drawn from authentic corpus-based examples and is therefore, arguably, as decontextualized and inadequate to map the “word’s [situated] range of use” as the body coloring task. Third, and more broadly, we could make a case that the Wierzbicka (Reference Wierzbicka2007) vs. Enfield et al. (Reference Enfield, Majid and van Staden2006) debate goes beyond disagreement on diversity vs. universals and is rooted in a deeper disagreement on the ontology of language.
Blomberg & Zlatev (Reference Blomberg and Zlatevin press) have indeed argued that the strongly divergent interpretations of linguistic relativity “emanate from radically different understandings of ontologically loaded concepts like language and thought”. Ultimately, the apple of discord is tossed at the conflation of three different levels of language: the level of situated use, the level of sedimented conventions, and the level of prelinguistic motivations. We briefly describe these three levels of meaning-making as integrated in the motivation and sedimentation model (Devylder & Zlatev, Reference Devylder, Zlatev and Baicchi2020; Stampoulidis, Bolognesi, & Zlatev, Reference Stampoulidis, Bolognesi and Zlatev2019) before showing how the model brings the present debate under a new light.
Making a doctor’s appointment over the phone is an example of a common social interaction where a speaker uses body part terms to serve a specific communicative purpose. Take the case of a patient who has some kind of pain located in the region of the metacarpal bones. Using the ‘right word’ to describe what or where it hurts is crucial for the accuracy of the initial diagnosis. If that patient is a L1 adult speaker of French, they have acquired its language-specific conventions that limit the meaning of main ‘hand’ to a segment of the body that extends from the wrist to the tip of the fingers. The patient will thus most likely describe their pain as j’ai mal à la main ‘my hand hurts’, but not as j’ai mal au bras ‘my arm hurts’ because the semantic extension of bras stops at the wrist joint, as evidenced in this paper. This level of the meaning-making process, where a speaker needs to spontaneously adapt their message to fit a specific situation, is both different from the level of semantic systems, and different from the level of non‑linguistic experiences. We could call this level the situated level of meaning‑making, where expressions are subject to interpretation and are highly dependent on the immediacy of the situation. But meaning cannot just be spontaneous language use: the immediacy of the situation that leads the patient to describe their hand injury sits upon deeper levels of the meaning-making process. The doctor can only understand the patient’s spontaneous linguistic expression (e.g., my hand hurts) if they both share a common set of linguistic conventions (e.g., speak the same language). The j’ai mal à la main ‘my hand hurts’ expression is motivated by the hundreds of years of historical stabilization of the body part lexicon in the French language that sedimented the distinction between main and bras. This level of relatively stable linguistic conventions, which are not dependent to the communicative context, and where the semantic extensions of body part terms are set within a group of speakers, can be called the sedimented level. In addition to the results of our study, the literature on the semantic categorization of the body shows that the semantic segmentation of the body into parts is free to vary across languages within the constraints imposed by the embodied level. In other words, languages of the world vary in the marking of perceptual boundaries (e.g., the French type vs. the Indonesian type) but they do not mark a semantic boundary where there is no perceptual boundary (e.g., the middle of the forearm). This suggests that culture-specific conventions do not arbitrarily pop up ex nihilo at some point in time in Western Europe, South-East Asia, and Far‑Eastern Asia. They do share some common patterns, which implies a common denominator for French, Indonesian, and Japanese speakers. We claim that the common denominator is the experience of the human body, conceived broadly (e.g., the tactile perceptual experience of the wrist joint boundary; the functional salience of hands, etc.). This set of language-specific conventions is thus motivated by a non‑linguistic and deeper level of the meaning‑making process that can be coined the embodied level of meaning.
We therefore propose that the meaning-making process is dynamic and consists of at least three different and tightly interacting levels: the embodied level, the sedimented level, and the situated level. This dynamic process is put in motion by two main operations. The motivation operation links primarily the embodied and situated levels in an ‘upward’ direction: experiential and cognitive processes are necessary to construct context-specific meaning at the situated level (e.g., in our example, the perceptual and conceptual distinction between hands and arms for the meaning of mains and bras in the specific context of a doctor’s appointment). In a second step, the sedimentation operation transforms situated sign activities ‘downward’ into relatively stable structures through frequency of use. These sedimented structures (e.g., the semantic extension of body part terms in a given language) are thus never fully novel and creative, as they also presuppose sedimented norms (Blomberg & Zlatev, Reference Blomberg and Zlatevin press). Figure 4 is an illustration of a simplified version of the Motivation and Sedimentation Model applied to the meaning-making process that has sedimented the semantic extensions of body part terms that we mapped with the body coloring task.
According to this model, the fact that the meaning of body part terms both vary (as evidenced by our study and by the Special Issue of Language Sciences) and share common patterns across languages (as argued by Andersen, Reference Andersen, Greenberg, Ferguson and Moravcsik1978; Brown Reference Brown1976; or Wierzbicka, Reference Wierzbicka2007) is not paradoxical: it is the result of two different steps of the meaning-making process that occur at distinct but tightly interwoven levels. This model also illuminates the phenomenon that we observed, where a majority of Indonesian speakers marked a pause at the wrist and ankle joints in their coloring performances of tangan and kaki, respectively. Here, we arguably caught on camera a step of the meaning-making process where these Indonesian speakers entered in a dialogical negotiation with the two conflicting body categorizations: one that sets a perceptual boundary at the embodied level (i.e., the boundary effect of the joints of tactile perception), and one that collapses the wrist joint boundary at the sedimented level (i.e., the Indonesian body part lexicon).
The Motivation and Sedimentation Model puts the Wierzbicka (Reference Wierzbicka2007) vs. Enfield et al. (Reference Enfield, Majid and van Staden2006) debate under a new light: the two sides seem to disagree in part because they are making generalizations about different levels of language. First, neither side is concerned with the situated level, because neither the NSM nor the body coloring task method allows investigating language in use. Second, Wierzbicka conflates the sedimented level (i.e., body part lexicons) and the embodied level (i.e., non-linguistic experience) when she grounds her argument for language universals in the universally shared concept of ‘hand’ in experiential salience. Third, Enfield et al.’s claim for linguistic diversity of body part lexicons does not inform the meaning‑making process happening at the embodied level of language (as critiqued by Wierzbicka) but at the sedimented level of language‑specific conventions.
5. Conclusion
The contribution of this paper to the study of meaning aimed to address methodological and theoretical issues with the help of empirical findings. We proposed a development of methods that allow the study of the meaning-making process at work in the categorization of the human body at a fine level of granularity and with considerable cross-linguistic validity. We showed the potential of these methods to provide solid empirical evidence. The broad contribution of this paper consisted of supporting the existence of linguistic diversity in the categorization of the body across languages with an adequate methodology and promising theoretical framework. Finally, we contributed to disentangling the linguistic diversity of body part lexicons vs. universals debate and more broadly conclude that linguistic diversity is not linguistic relativism, in the sense that different categorizations of the body in language do not necessarily determine different categorizations of the body in thought.
Appendix 1
Description of anatomical zones
Appendix 2
ANOVA and post-hoc Bonferroni test tables