A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
A systematic comparison of various statistical alignment models
Computational Linguistics
Evaluating sense disambiguation across diverse parameter spaces
Natural Language Engineering
Machine translation with a stochastic grammatical channel
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Word-sense disambiguation using statistical methods
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
A polynomial-time algorithm for statistical machine translation
ACL '96 Proceedings of the 34th 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
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Word translation disambiguation using Bilingual Bootstrapping
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Greedy decoding for statistical machine translation in almost linear time
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - 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
Conditional structure versus conditional estimation in NLP models
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Named Entity Extraction using AdaBoost
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Relieving the data acquisition bottleneck in word sense disambiguation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A kernel PCA method for superior word sense disambiguation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Reordering constraints for phrase-based statistical machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Text classification improved through multigram models
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A statistical model for near-synonym choice
ACM Transactions on Speech and Language Processing (TSLP)
Word-sense disambiguation for machine translation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Statistical machine translation
ACM Computing Surveys (CSUR)
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Automatic Acquisition of Qualia Structure from Corpus Data
IEICE - Transactions on Information and Systems
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
Semantic roles for SMT: a hybrid two-pass model
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
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Context-aware discriminative phrase selection for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Reordering: a stepping-stone to perfect Thai Sign generation
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Cross-lingual document clustering
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Contextual modeling for meeting translation using unsupervised word sense disambiguation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Measuring similarity of word meaning in context with lexical substitutes and translations
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Panning for EBMT gold, or "Remembering not to forget"
Machine Translation
Constraint optimization approach to context based word selection
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Using senses in HMM word alignment
WILS '12 Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
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
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We directly investigate a subject of much recent debate: do word sense disambiguation models help statistical machine translation quality? We present empirical results casting doubt on this common, but unproved, assumption. Using a state-of-the-art Chinese word sense disambiguation model to choose translation candidates for a typical IBM statistical MT system, we find that word sense disambiguation does not yield significantly better translation quality than the statistical machine translation system alone. Error analysis suggests several key factors behind this surprising finding, including inherent limitations of current statistical MT architectures.