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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)
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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
Abstract: Motivated by the expense in time and other resources to produce hand-crafted grammars, there has been increased interest in automatically obtained wide-coverage grammars from treebanks for natural language processing. In particular, recent years have seen the growth in interest in automatically obtained deep resources that can represent information absent from simple CFG-type structured treebanks and which are considered to produce more language-neutral linguistic representations, such as dependency syntactic trees. As is often the case in early pioneering work on natural language processing, English has provided the focus of first efforts towards acquiring deep-grammar resources, followed by successful treatments of, for example, German, Japanese, Chinese and Spanish. However, no comparable large-scale automatically acquired deep-grammar resources have been obtained for French to date. The goal of this paper is to present the application of treebank-based language acquisition to the case of French. We show that with modest changes to the established parsing architectures, encouraging results can be obtained for French, with a best dependency structure f-score of 86.73%.
Keyword: Machine translating
URL: http://doras.dcu.ie/16176/1/Treebank-Based_Acquisition_of_LFG_Parsing_Resources_for_French.pdf
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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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