We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure [email protected]
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This case study is an analysis of target discourse to collect and analyze discourse samples of radio and television forecasts. We focused on three aspects of an analysis of target discourse: (a) identifying recurrent subtasks to understand the internal structure of weather forecast discourse, (b) analyzing linguistic features that frequently co-occur with the subtasks (i.e., structural ellipsis and technical and sub-technical vocabulary), and (c) developing samples of prototypical discourse that can be put to use in task-based materials. Our intention in this chapter is to be as descriptive and transparent as possible in reporting methods and procedures of analysis, so interested researchers and practitioners can refer to this study when conducting their own analysis of target discourse studies.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.