A statistical approach to machine translation
Computational Linguistics
Bootstrapping statistical parsers from small datasets
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
A multilingual paradigm for automatic verb classification
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Reranking and self-training for parser adaptation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Annealing structural bias in multilingual weighted grammar induction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Parsing syntactic and semantic dependencies with two single-stage maximum entropy models
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Multilingual dependency learning: a huge feature engineering method to semantic dependency parsing
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Chinese dependency parsing with large scale automatically constructed case structures
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Character-level dependencies in Chinese: usefulness and learning
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Two languages are better than one (for syntactic parsing)
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Simple training of dependency parsers via structured boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Strictly lexical dependency parsing
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Bitext dependency parsing with bilingual subtree constraints
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Improving graph-based dependency parsing with decision history
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Joint bilingual sentiment classification with unlabeled parallel corpora
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Semantic relations in bilingual lexicons
ACM Transactions on Speech and Language Processing (TSLP)
SMT helps bitext dependency parsing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Relaxed cross-lingual projection of constituent syntax
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EXPLOITING SUBTREES IN AUTO-PARSED DATA TO IMPROVE DEPENDENCY PARSING
Computational Intelligence
Utilizing dependency language models for graph-based dependency parsing models
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
SSST-6 '12 Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation
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This paper proposes an approach to enhance dependency parsing in a language by using a translated treebank from another language. A simple statistical machine translation method, word-by-word decoding, where not a parallel corpus but a bilingual lexicon is necessary, is adopted for the treebank translation. Using an ensemble method, the key information extracted from word pairs with dependency relations in the translated text is effectively integrated into the parser for the target language. The proposed method is evaluated in English and Chinese treebanks. It is shown that a translated English treebank helps a Chinese parser obtain a state-of-the-art result.