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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; Mielke, Sabrina J.; Wu, Shijie; Ponti, Edoardo; Maudslay, Rowan Hall; Zmigrod, Ran; Valvoda, Josef; Toldova, Svetlana; Tyers, Francis; Klyachko, Elena; Yegorov, Ilya; Krizhanovsky, Natalia; Czarnowska, Paula; Nikkarinen, Irene; Krizhanovsky, Andrew; Pimentel, Tiago; Hennigen, Lucas Torroba; Kirov, Christo; Nicolai, Garrett; Williams, Adina; Anastasopoulos, Antonios; Cruz, Hilaria; Chodroff, Eleanor; Cotterell, Ryan; Silfverberg, Miikka; Hulden, Mans. - : arXiv, 2020 Abstract: A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from just one language such as English. The SIGMORPHON 2020 shared task on morphological reinflection aims to investigate systems' ability to generalize across typologically distinct languages, many of which are low resource. Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages. A total of 22 systems (19 neural) from 10 teams were submitted to the task. All four winning systems were neural (two monolingual transformers and two massively multilingual RNN-based models with gated attention). Most teams demonstrate utility of data hallucination and augmentation, ensembles, and multilingual training for low-resource languages. Non-neural learners and manually designed grammars showed ... : 39 pages, SIGMORPHON ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2006.11572 https://arxiv.org/abs/2006.11572 BASE Hide 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. - : arXiv, 2019 BASE Show details Page: 1 2 3

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