{"id":622455,"date":"2019-11-20T22:16:20","date_gmt":"2019-11-21T06:16:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=622455"},"modified":"2019-11-20T22:16:20","modified_gmt":"2019-11-21T06:16:20","slug":"cossat-code-switched-speech-annotation-tool","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cossat-code-switched-speech-annotation-tool\/","title":{"rendered":"CoSSAT: Code-Switched Speech Annotation Tool"},"content":{"rendered":"

Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world. Building code-switched speech and natural language processing systems are challenging due to the lack of annotated speech and text data. We present a speech annotation interface CoSSAT, which helps annotators transcribe code-switched speech faster, more easily and more accurately than a traditional interface, by displaying candidate words from monolingual speech recognizers. We conduct a user study on the transcription of Hindi-English code-switched speech with 10 annotators and describe quantitative and qualitative results.<\/p>\n","protected":false},"excerpt":{"rendered":"

Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world. Building code-switched speech and natural language processing systems are challenging due to the lack of annotated speech and text data. We present a speech annotation interface CoSSAT, which helps annotators transcribe 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Shah","user_id":0,"rest_url":false},{"type":"text","value":"Pratik Joshi","user_id":0,"rest_url":false},{"type":"edited_text","value":"Sunayana Sitaram (susitara)","user_id":37287,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Sunayana Sitaram (susitara)"},{"type":"text","value":"Sebastin Santy","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[248216],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":248216,"post_title":"Project Melange","post_name":"melange","post_type":"msr-project","post_date":"2016-07-04 04:02:18","post_modified":"2022-04-29 10:24:28","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/melange\/","post_excerpt":"The goal of Project M\u00e9lange is to understand the uses of and build tools around code-mixing, analyze and understand code-switching behavior, and equip speech and language processing systems with the capabilities of processing, understanding and generating code-switched 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