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Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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Corpus of metaphorical expressions in spoken Slovene language G-KOMET 1.0
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Multidimensional Coding of Multimodal Languaging in Multi-Party Settings ...
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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
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In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Corpus of North American Spoken English ...
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Abstract:
The Corpus of North American Spoken English (CoNASE) is a 1.25-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech. The corpus was created from 301,847 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,252,066,371 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or ...
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Keyword:
corpus linguistics; dialectology; dialektologi; dialektologia; Dialektologie; dialektoloogia; Kielitieteet; korpuslingvistiikka; korpuslingvistik; Languages; Nordamerika; North America; Pohjois-Amerikka; sociolinguistics; speech transcripts; spoken language; Språkvetenskaper
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URL: https://dx.doi.org/10.23729/6a2021ad-672c-4738-ac29-12f41b403ea3 https://etsin.fairdata.fi/dataset/dddf609b-6c86-4bb3-b37e-ce5a30b2c375
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Das Perikopenbuch von Ivan Bandulavić. Versuch einer kulturhistorischen Wertung
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De la clivée en th- à la structure the-N-is en anglais oral: vers une lecture discursive, prosodique et dialogique
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DCT vs. corpus orales: reflexiones metodológicas sobre el estudio de los actos de habla ; DCT vs. spoken corpora: methodologic reflections on the study of speech acts
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In: Pragmalingüística, (29), 377-395 (2022)
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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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