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Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ...
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Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging ...
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CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing
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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)
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
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Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ...
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Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
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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)
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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Nivre, Joakim; Agić, Željko; Ahrenberg, Lars; Antonsen, Lene; Aranzabe, Maria Jesus; Asahara, Masayuki; Ateyah, Luma; Attia, Mohammed; Atutxa, Aitziber; Badmaeva, Elena; Ballesteros, Miguel; Banerjee, Esha; Bank, Sebastian; Bauer, John; Bengoetxea, Kepa; Bhat, Riyaz Ahmad; Bick, Eckhard; Bosco, Cristina; Bouma, Gosse; Bowman, Sam; Burchardt, Aljoscha; Candito, Marie; Caron, Gauthier; Cebiroğlu Eryiğit, Gülşen; Celano, Giuseppe G. A.; Cetin, Savas; Chalub, Fabricio; Choi, Jinho; Cho, Yongseok; Cinková, Silvie; Çöltekin, Çağrı; Connor, Miriam; de Marneffe, Marie-Catherine; de Paiva, Valeria; Diaz de Ilarraza, Arantza; Dobrovoljc, Kaja; Dozat, Timothy; Droganova, Kira; Eli, Marhaba; Elkahky, Ali; Erjavec, Tomaž; Farkas, Richárd; Fernandez Alcalde, Hector; Foster, Jennifer; Freitas, Cláudia; Gajdošová, Katarína; Galbraith, Daniel; Garcia, Marcos; Ginter, Filip; Goenaga, Iakes; Gojenola, Koldo; Gökırmak, Memduh; Goldberg, Yoav; Gómez Guinovart, Xavier; Gonzáles Saavedra, Berta; Grioni, Matias; Grūzītis, Normunds; Guillaume, Bruno; Habash, Nizar; Hajič, Jan; Hajič jr., Jan; Hà Mỹ, Linh; Harris, Kim; Haug, Dag; Hladká, Barbora; Hlaváčová, Jaroslava; Hohle, Petter; Ion, Radu; Irimia, Elena; Johannsen, Anders; Jørgensen, Fredrik; Kaşıkara, Hüner; Kanayama, Hiroshi; Kanerva, Jenna; Kayadelen, Tolga; Kettnerová, Václava; Kirchner, Jesse; Kotsyba, Natalia; Krek, Simon; Kwak, Sookyoung; Laippala, Veronika; Lambertino, Lorenzo; Lando, Tatiana; Lê Hồng, Phương; Lenci, Alessandro; Lertpradit, Saran; Leung, Herman; Li, Cheuk Ying; Li, Josie; Ljubešić, Nikola; Loginova, Olga; Lyashevskaya, Olga; Lynn, Teresa; Macketanz, Vivien; Makazhanov, Aibek; Mandl, Michael; Manning, Christopher; Manurung, Ruli; Mărănduc, Cătălina; Mareček, David; Marheinecke, Katrin; Martínez Alonso, Héctor; Martins, André; Mašek, Jan; Matsumoto, Yuji; McDonald, Ryan; Mendonça, Gustavo; Missilä, Anna; Mititelu, Verginica; Miyao, Yusuke; Montemagni, Simonetta; More, Amir; Moreno Romero, Laura; Mori, Shunsuke; Moskalevskyi, Bohdan; Muischnek, Kadri; Mustafina, Nina; Müürisep, Kaili; Nainwani, Pinkey; Nedoluzhko, Anna; Nguyễn Thị, Lương; Nguyễn Thị Minh, Huyền; Nikolaev, Vitaly; Nitisaroj, Rattima; Nurmi, Hanna; Ojala, Stina; Osenova, Petya; Øvrelid, Lilja; Pascual, Elena; Passarotti, Marco; Perez, Cenel-Augusto; Perrier, Guy; Petrov, Slav; Piitulainen, Jussi; Pitler, Emily; Plank, Barbara; Popel, Martin; Pretkalniņa, Lauma; Prokopidis, Prokopis; Puolakainen, Tiina; Pyysalo, Sampo; Rademaker, Alexandre; Real, Livy; Reddy, Siva; Rehm, Georg; Rinaldi, Larissa; Rituma, Laura; Rosa, Rudolf; Rovati, Davide; Saleh, Shadi; Sanguinetti, Manuela; Saulīte, Baiba; Sawanakunanon, Yanin; Schuster, Sebastian; Seddah, Djamé; Seeker, Wolfgang; Seraji, Mojgan; Shakurova, Lena; Shen, Mo; Shimada, Atsuko; Shohibussirri, Muh; Silveira, Natalia; Simi, Maria; Simionescu, Radu; Simkó, Katalin; Šimková, Mária; Simov, Kiril; Smith, Aaron; Stella, Antonio; Strnadová, Jana; Suhr, Alane; Sulubacak, Umut; Szántó, Zsolt; Taji, Dima; Tanaka, Takaaki; Trosterud, Trond; Trukhina, Anna; Tsarfaty, Reut; Tyers, Francis; Uematsu, Sumire; Urešová, Zdeňka; Uria, Larraitz; Uszkoreit, Hans; van Noord, Gertjan; Varga, Viktor; Vincze, Veronika; Washington, Jonathan North; Yu, Zhuoran; Žabokrtský, Zdeněk; Zeman, Daniel; Zhu, Hanzhi. - : Universal Dependencies Consortium, 2017
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Abstract:
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). This release contains the test data used in the CoNLL 2017 shared task on parsing Universal Dependencies. Due to the shared task the test data was held hidden and not released together with the training and development data of UD 2.0. Therefore this release complements the UD 2.0 release (http://hdl.handle.net/11234/1-1983) to a full release of UD treebanks. In addition, the present release contains 18 new parallel test sets and 4 test sets in surprise languages. The present release also includes the development data already released with UD 2.0. Unlike regular UD releases, this one uses the folder-file structure that was visible to the systems participating in the shared task.
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Keyword:
dependency; harmonized annotation; interset; morphology; stanford dependencies; syntax; treebank; universal tagset
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URL: http://hdl.handle.net/11234/1-2184
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Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ...
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 257-269 (2017) (2017)
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