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1
Baselines and test data for cross-lingual inference
In: Agic , Z & Schluter , N 2018 , Baselines and test data for cross-lingual inference . in Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) . European Language Resources Association , pp. 3890-3894 . (2018)
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2
Multilingual Projection for Parsing Truly Low-Resource Languageš
In: ISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, 2016 (2016)
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3
Multilingual projection for parsing truly low resource languages
In: Agic , Z , Johannsen , A T , Plank , B , Martinez Alonso , H , Schluter , N E & Søgaard , A 2016 , ' Multilingual projection for parsing truly low resource languages ' Transactions of the Association for Computational Linguistics , bind 4 , s. 301-312 . (2016)
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4
Multilingual Projection for Parsing Truly Low-Resource Languageš
In: ISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, 2016 (2016)
Abstract: International audience ; We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies , close to established upper bounds, and outperforms several competitive baselines.
Keyword: [ SHS.LANGUE ] Humanities and Social Sciences/Linguistics; [ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML]; dependency parsing; multisource projection; natural language processing; syntax
URL: https://hal.inria.fr/hal-01426754
https://hal.inria.fr/hal-01426754/document
https://hal.inria.fr/hal-01426754/file/Q16-1022.pdf
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5
Multilingual Projection for Parsing Truly Low-Resource Languages
In: Agić , Ž , Johannsen , A , Plank , B , Martínez Alonso , H , Schluter , N & Søgaard , A 2016 , ' Multilingual Projection for Parsing Truly Low-Resource Languages ' Transactions of the Association for Computational Linguistics , vol 4 , pp. 301-312 . (2016)
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6
Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources
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7
Dependency parsing resources for French: Converting acquired lexical functional grammar F-Structure annotations and parsing F-Structures directly
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8
Dependency Parsing Resources for French: Converting Acquired Lexical Functional Grammar F-Structure Annotations and Parsing F-Structures Directly
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9
Treebank-based acquisition of LFG parsing resources for French
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10
Preparing, restructuring, and augmenting a French treebank: lexicalised parsers or coherent treebanks?
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11
The role of aspect in paraphrase operations
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