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Mehrsprachigkeit im Kontext des Kurmancî-Kurdischen und des Deutschen : eine Fallstudie aus einer kurdisch-deutschen Kindertagesstätte
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BLLDB
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UB Frankfurt Linguistik
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A multilingual corpus approach to postpredicativity in spoken Turkish, Kurmanji Kurdish and German
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In: Proceedings of the Workshop on Turkic and Languages in Contact with Turkic; Vol 6 (2021); 5068 ; 2641-3485 (2022)
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Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon
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In: https://hal.archives-ouvertes.fr/hal-03140680 ; 2021 (2021)
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Abstract:
In this paper, we introduce the first large vocabulary speech recognition system (LVSR) for the Central Kurdish language, named Jira. The Kurdish language is an Indo-European language spoken by more than 30 million people in several countries, but due to the lack of speech and text resources, there is no speech recognition system for this language. To fill this gap, we introduce the first speech corpus and pronunciation lexicon for the Kurdish language. Regarding speech corpus, we designed a sentence collection in which the ratio of di-phones in the collection resembles the real data of the Central Kurdish language. The designed sentences are uttered by 576 speakers in a controlled environment with noise-free microphones (called AsoSoft Speech-Office) and in Telegram social network environment using mobile phones (denoted as AsoSoft Speech-Crowdsourcing), resulted in 43.68 hours of speech. Besides, a test set including 11 different document topics is designed and recorded in two corresponding speech conditions (i.e., Office and Crowdsourcing). Furthermore, a 60K pronunciation lexicon is prepared in this research in which we faced several challenges and proposed solutions for them. The Kurdish language has several dialects and sub-dialects that results in many lexical variations. Our methods for script standardization of lexical variations and automatic pronunciation of the lexicon tokens are presented in detail. To setup the recognition engine, we used the Kaldi toolkit. A statistical tri-gram language model that is extracted from the AsoSoft text corpus is used in the system. Several standard recipes including HMM-based models (i.e., mono, tri1, tr2, tri2, tri3), SGMM, and DNN methods are used to generate the acoustic model. These methods are trained with AsoSoft Speech-Office and AsoSoft Speech-Crowdsourcing and a combination of them. The best performance achieved by the SGMM acoustic model which results in 13.9% of the average word error rate (on different document topics) and 4.9% for the general topic.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SCCO.LING]Cognitive science/Linguistics; Jira; Kurdish Language; Pronunciation Lexicon; Speech Corpus; Speech Recognition
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URL: https://hal.archives-ouvertes.fr/hal-03140680/file/Jira%20a%20Kurdish%20Speech%20Recognition%20System.pdf https://hal.archives-ouvertes.fr/hal-03140680/document https://hal.archives-ouvertes.fr/hal-03140680
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CENTRAL KURDISH MACHINE TRANSLATION: FIRST LARGE SCALE PARALLEL CORPUS AND EXPERIMENTS
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In: https://hal.archives-ouvertes.fr/hal-03263105 ; 2021 (2021)
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Language practices and bi/plurilingual usages of Kurdish speakers in Istanbul ; Les pratiques langagières et les usages bi/plurilingues des kurdophones à Istanbul
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In: https://tel.archives-ouvertes.fr/tel-03611955 ; Linguistique. Normandie Université, 2021. Français. ⟨NNT : 2021NORMR104⟩ (2021)
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Kurdish spoken dialect recognition using x-vector speaker embeddings
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In: https://hal.archives-ouvertes.fr/hal-03262435 ; 2021 (2021)
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Cross-dialectal diversity in Mukrī Kurdish I: phonological and phonetic variation [Online resource]
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In: Journal of Linguistic Geography 9.2021 (2021) 1, 1-12
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Linguistik-Repository
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WALS Online Resources for Kurmanji
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: Max Planck Institute for Evolutionary Anthropology, 2021
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WALS Online Resources for Kurdish (Central)
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Glottolog 4.4 Resources for Northern Kurdish
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Glottolog 4.4 Resources for Central Kurdish
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Glottolog 4.4 Resources for Kurdish
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Exploiting Script Similarities to Compensate for the Large Amount of Data in Training Tesseract LSTM: Towards Kurdish OCR
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In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
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Glottolog 4.4 Resources for Southern Kurdish
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Standard accented Turkish speakers’ perception of Kurdish accented speakers: The factors behind the evaluations
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In: Theses (2021)
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CHALLENGING NARRATIVES: KURDISH YOUNG ADULTS IN ISTANBUL AND CHICAGO
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In: Theses and Dissertations--Anthropology (2021)
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