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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
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10
Preparing, restructuring, and augmenting a French treebank: lexicalised parsers or coherent treebanks?
Abstract: We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from the Paris 7 Treebank (P7T), which is cleaner, more coherent, has several transformed structures, and introduces new linguistic analyses. To determine the effect of these changes, we investigate how theMFT fares in statistical parsing. Probabilistic parsers trained on the MFT training set (currently 3800 trees) already perform better than their counterparts trained on five times the P7T data (18,548 trees), providing an extreme example of the importance of data quality over quantity in statistical parsing. Moreover, regression analysis on the learning curve of parsers trained on the MFT lead to the prediction that parsers trained on the full projected 18,548 tree MFT training set will far outscore their counterparts trained on the full P7T. These analyses also show how problematic data can lead to problematic conclusions–in particular, we find that lexicalisation in the probabilistic parsing of French is probably not as crucial as was once thought (Arun and Keller (2005)).
Keyword: Machine translating
URL: http://doras.dcu.ie/15265/1/78_Paper_meta.pdf
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11
The role of aspect in paraphrase operations
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