Language and Speech Technology for Central Kurdish Varieties
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916145852841984 |
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| author | Ahmadi, Sina Jaff, Daban Q. Alam, Md Mahfuz Ibn Anastasopoulos, Antonios |
| author_facet | Ahmadi, Sina Jaff, Daban Q. Alam, Md Mahfuz Ibn Anastasopoulos, Antonios |
| contents | Kurdish, an Indo-European language spoken by over 30 million speakers, is considered a dialect continuum and known for its diversity in language varieties. Previous studies addressing language and speech technology for Kurdish handle it in a monolithic way as a macro-language, resulting in disparities for dialects and varieties for which there are few resources and tools available. In this paper, we take a step towards developing resources for language and speech technology for varieties of Central Kurdish, creating a corpus by transcribing movies and TV series as an alternative to fieldwork. Additionally, we report the performance of machine translation, automatic speech recognition, and language identification as downstream tasks evaluated on Central Kurdish varieties. Data and models are publicly available under an open license at https://github.com/sinaahmadi/CORDI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_01983 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Language and Speech Technology for Central Kurdish Varieties Ahmadi, Sina Jaff, Daban Q. Alam, Md Mahfuz Ibn Anastasopoulos, Antonios Computation and Language Kurdish, an Indo-European language spoken by over 30 million speakers, is considered a dialect continuum and known for its diversity in language varieties. Previous studies addressing language and speech technology for Kurdish handle it in a monolithic way as a macro-language, resulting in disparities for dialects and varieties for which there are few resources and tools available. In this paper, we take a step towards developing resources for language and speech technology for varieties of Central Kurdish, creating a corpus by transcribing movies and TV series as an alternative to fieldwork. Additionally, we report the performance of machine translation, automatic speech recognition, and language identification as downstream tasks evaluated on Central Kurdish varieties. Data and models are publicly available under an open license at https://github.com/sinaahmadi/CORDI. |
| title | Language and Speech Technology for Central Kurdish Varieties |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.01983 |