{"id":487088,"date":"2018-05-20T22:25:12","date_gmt":"2018-05-21T05:25:12","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=487088"},"modified":"2018-10-16T22:25:48","modified_gmt":"2018-10-17T05:25:48","slug":"integrated-representation-linguistic-social-functions-code-switching","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/integrated-representation-linguistic-social-functions-code-switching\/","title":{"rendered":"An Integrated Representation of Linguistic and Social Functions of Code-Switching"},"content":{"rendered":"
We present an integrated representation of code-switching (CS) functions, i.e., a representation that includes various CS phenomena (intra-\/inter-sentential) and modalities (written\/spoken), and aims to derive CS functions from local and global properties of the code-switched discourse. By applying it to several English\/Hindi CS datasets, we show that our model contributes (i) to the standardization and re-use of CS data collections by creating a resource footprint, and (ii) to the study of CS functions by creating a systematic description and hierarchy of reported functions together with the (local and social) properties that may affect them. At the same time, the model provides a flexible framework to add emerging functions, supporting theoretical studies as well as the automatic detection of CS functions.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
We present an integrated representation of code-switching (CS) functions, i.e., a representation that includes various CS phenomena (intra-\/inter-sentential) and modalities (written\/spoken), and aims to derive CS functions from local and global properties of the code-switched discourse. By applying it to several English\/Hindi CS datasets, we show that our model contributes (i) to the standardization and […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13545],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-487088","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"LREC 2018","msr_edition":"LREC 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