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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 4 5 6 7 Hits 21 – 40 of 123 21 Multitask Easy-First Dependency Parsing ... The 28th International Conference on Computational Linguistics 2020; Habash, Nizar; Kankanampati, Yash. - : Underline Science Inc., 2020 BASE Show details 22 Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ... Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019 BASE Show details 23 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 24 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 25 Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging ... Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019 BASE Show details 26 CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing More, Amir; Çetinoğlu, Özlem; Çöltekin, Çağri... In: 11th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01786125 ; 11th Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org (2018) BASE Show details 27 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 28 MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ... Obeid, Ossama; Khalifa, Salam; Habash, Nizar. - : arXiv, 2018 BASE Show details 29 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 30 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 31 Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ... Watson, Daniel; Zalmout, Nasser; Habash, Nizar. - : arXiv, 2018 BASE Show details 32 Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search Khwileh, Ahmad; Way, Andy; Jones, Gareth J.F.... In: Khwileh, Ahmad, Afli, Haithem orcid:0000-0002-7449-4707 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Way, Andy orcid:0000-0001-5736-5930 (2017) Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search. In: Third Arabic Natural Language Processing Workshop (WANLP), 3 Apr 2017, Valencia, Spain. (2017) BASE Show details 33 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details 34 Universal Dependencies 2.0 alpha (obsolete) Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 35 Universal Dependencies 2.0 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 36 Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 37 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 38 Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ... Erdmann, Alexander; Habash, Nizar; Taji, Dima; Bouamor, Houda. - : arXiv, 2017 Abstract: We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus. The subject has not previously received serious attention due to lack of naturally occurring parallel data; yet its importance is evidenced by dialectal Arabic's wide usage and breadth of inter-dialect variation, comparable to that of Romance languages. Our results suggest that modeling morphology and syntax significantly improves dialect-to-dialect translation, though optimizing such data-sparse models requires consideration of the linguistic differences between dialects and the nature of available data and resources. On a single-reference blind test set where untranslated input scores 6.5 BLEU and a model trained only on parallel data reaches 14.6, pivot techniques and morphosyntactic modeling significantly improve performance to 17.5. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1712.06273 https://dx.doi.org/10.48550/arxiv.1712.06273 BASE Hide details 39 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Çöltekin, Çağrı; Kayadelen, Tolga; Droganova, Kira. - : Association for Computational Linguistics, 2017. : country:USA, 2017. : place:Stroudsburg, PA, 2017 BASE Show details 40 Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages Zalmout Nasser; Habash Nizar In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 257-269 (2017) (2017) BASE Show details Page: 1 2 3 4 5 6 7

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