A maximum entropy approach to natural language processing
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Fast decoding and optimal decoding for machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
An unsupervised method for word sense tagging using parallel corpora
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
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Feature-rich statistical translation of noun phrases
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Exploiting parallel texts for word sense disambiguation: an empirical study
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Word sense disambiguation vs. statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Ensemble methods for unsupervised WSD
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Meaningful clustering of senses helps boost word sense disambiguation performance
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A hybrid relational approach for WSD: first results
COLING ACL '06 Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Data-driven semantic analysis for multilingual WSD and lexical selection in translation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Comparison of extended lexicon models in search and rescoring for SMT
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
On the use of automatically acquired examples for all-nouns word sense disambiguation
Journal of Artificial Intelligence Research
Graph connectivity measures for unsupervised word sense disambiguation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Context-aware discriminative phrase selection for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Rich source-side context for statistical machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Discriminative Phrase-Based Models for Arabic Machine Translation
ACM Transactions on Asian Language Information Processing (TALIP)
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Decision trees for lexical smoothing in statistical machine translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
The application of structured learning in natural language processing
Machine Translation
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
The Journal of Machine Learning Research
An evaluation and possible improvement path for current SMT behavior on ambiguous nouns
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Unsupervised cross-lingual lexical substitution
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
ACM Transactions on Speech and Language Processing (TSLP)
Were the clocks striking or surprising?: using WSD to improve MT performance
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
WSD for n-best reranking and local language modeling in SMT
SSST-6 '12 Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation
Word sense and semantic relations in noun compounds
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
Semantic to intelligent web era: building blocks, applications, and current trends
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
The cross-lingual lexical substitution task
Language Resources and Evaluation
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In word sense disambiguation, a system attempts to determine the sense of a word from contextual features. Major barriers to building a high-performing word sense disambiguation system include the difficulty of labeling data for this task and of predicting fine-grained sense distinctions. These issues stem partly from the fact that the task is being treated in isolation from possible uses of automatically disambiguated data. In this paper, we consider the related task of word translation, where we wish to determine the correct translation of a word from context. We can use parallel language corpora as a large supply of partially labeled data for this task. We present algorithms for solving the word translation problem and demonstrate a significant improvement over a baseline system. We then show that the word-translation system can be used to improve performance on a simplified machine-translation task and can effectively and accurately prune the set of candidate translations for a word.