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21
Multitask Easy-First Dependency Parsing ...
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22
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ...
Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019
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23
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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24
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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25
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging ...
Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019
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26
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing
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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27
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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28
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
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29
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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30
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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31
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ...
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32
Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
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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33
Universal Dependencies 2.1
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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34
Universal Dependencies 2.0 alpha (obsolete)
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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35
Universal Dependencies 2.0
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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36
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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37
Universal Dependencies 2.1
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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38
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ...
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39
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Abstract: The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2017, one of two tasks was devoted to learning dependency parsers for a large number of languages, in a realworld setting without any gold-standard annotation on input. All test sets followed a unified annotation scheme, namely that of Universal Dependencies. In this paper, we define the task and evaluation methodology, describe data preparation, report and analyze the main results, and provide a brief categorization of the different approaches of the participating systems.
Keyword: dependency syntax; evaluation; parsing; Universal Dependencies
URL: http://www.aclweb.org/anthology/K/K17/K17-3001.pdf
https://doi.org/10.18653/v1/K17-3001
http://hdl.handle.net/2318/1652589
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40
Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 257-269 (2017) (2017)
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