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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 53 1 Correction to: Morphological analysis and disambiguation for Breton [<Journal>] Tyers, Francis M. [Verfasser]; Howell, Nick [Verfasser] DNB Subject Category Language Show details 2 A Large-Scale Study of Machine Translation in the Turkic Languages ... Mirzakhalov, Jamshidbek; Babu, Anoop; Ataman, Duygu. - : arXiv, 2021 BASE Show details 3 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jonathan; Ivanova, Sardana. - : Underline Science Inc., 2021 BASE Show details 7 Evaluating Multiway Multilingual NMT in the Turkic Languages ... Mirzakhalov, Jamshidbek; Babu, Anoop; Kunafin, Aigiz. - : arXiv, 2021 BASE Show details 8 Do RNN States Encode Abstract Phonological Alternations? ... NAACL 2021 2021; Hulden, Mans; Nicolai, Garrett. - : Underline Science Inc., 2021 BASE Show details 9 Do RNN States Encode Abstract Phonological Processes? ... Silfverberg, Miikka; Tyers, Francis; Nicolai, Garrett. - : arXiv, 2021 BASE Show details 10 A morphological analyser for K’iche’ ; Un analizador morfológico para el idioma k’iche’ Richardson, Ivy; Tyers, Francis M.. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2021 BASE Show details 11 Multi-script morphological transducers and transcribers for seven Turkic languages Washington, Jonathan North; Tyers, Francis Morton; Kuyrukçu, Oğuzhan In: Proceedings of the Workshop on Turkic and Languages in Contact with Turkic; Vol 5 (2020); 173-185 ; 2641-3485 (2021) BASE Show details 12 Morphological analysis and disambiguation for Breton [<Journal>] Tyers, Francis M. [Verfasser]; Howell, Nick [Verfasser] DNB Subject Category Language Show details 13 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 14 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 15 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 16 Dependency analysis of noun incorporation in polysynthetic languages ... The 28th International Conference on Computational Linguistics 2020; Tyers, Francis. - : Underline Science Inc., 2020 BASE Show details 17 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 18 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 19 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 20 Common Voice: A Massively-Multilingual Speech Corpus ... Ardila, Rosana; Branson, Megan; Davis, Kelly; Henretty, Michael; Kohler, Michael; Meyer, Josh; Morais, Reuben; Saunders, Lindsay; Tyers, Francis M.; Weber, Gregor. - : arXiv, 2019 Abstract: The Common Voice corpus is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Common Voice is designed for Automatic Speech Recognition purposes but can be useful in other domains (e.g. language identification). To achieve scale and sustainability, the Common Voice project employs crowdsourcing for both data collection and data validation. The most recent release includes 29 languages, and as of November 2019 there are a total of 38 languages collecting data. Over 50,000 individuals have participated so far, resulting in 2,500 hours of collected audio. To our knowledge this is the largest audio corpus in the public domain for speech recognition, both in terms of number of hours and number of languages. As an example use case for Common Voice, we present speech recognition experiments using Mozilla's DeepSpeech Speech-to-Text toolkit. By applying transfer learning from a source English model, we find an average Character Error Rate improvement of ... : Accepted to LREC 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1912.06670 https://arxiv.org/abs/1912.06670 BASE Hide details Page: 1 2 3

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