A Code-Switching Corpus of Turkish-German Conversations
We present a code-switching corpus of Turkish-German that is collected by recording conversations of bilinguals. The recordings are then transcribed in two layers following speech and orthography conventions, and annotated with sentence boundaries and intersentential, intrasentential, and intra-word switch points. The total amount of data is 5 hours of speech which corresponds to 3614 sentences. The corpus aims at serving as a resource for speech or text analysis, as well as a collection for linguistic inquiries.
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Automatic Speech Recognition (ASR)Language IdentificationLanguage ModellingPart-Of-Speech TaggingSentenceSentiment AnalysisSpeech RecognitionSimilar Papers 제목 키워드 기반
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