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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
Abstract: Recent years have seen considerable success in the generation of automatically obtained wide-coverage deep grammars for natural language processing, given reliable and large CFG-like treebanks. For research within Lexical Functional Grammar framework, these deep grammars are typically based on an extended PCFG parsing scheme from which dependencies are extracted. However, increasing success in statistical dependency parsing suggests that such deep grammar approaches to statistical parsing could be streamlined. We explore this novel approach to deep grammar parsing within the framework of LFG in this paper, for French, showing that best results (an f-score of 69.46) for the established integrated architecture may be obtained for French.
Keyword: Machine translating
URL: http://doras.dcu.ie/16170/1/Dependency_Parsing_Resources_for_French_Converting_Acquired_Lexical_Functional_Grammer_F-Structure_Annotations_and_Parsing_F-Structures_Directly.pdf
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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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