A systematic comparison of various statistical alignment models
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
HMM-based word alignment in statistical translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Confidence estimation for translation prediction
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Going beyond AER: an extensive analysis of word alignments and their impact on MT
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Distortion models for statistical machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Confidence estimation for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
NeurAlign: combining word alignments using neural networks
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A maximum entropy word aligner for Arabic-English machine translation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Inner-outer bracket models for word alignment using hidden blocks
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A maximum entropy approach to combining word alignments
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Measuring Word Alignment Quality for Statistical Machine Translation
Computational Linguistics
Improving word alignment with language model based confidence scores
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Improving Statistical Machine Translation with monolingual collocation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Diversify and combine: improving word alignment for machine translation on low-resource languages
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Active learning-based elicitation for semi-supervised word alignment
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Active semi-supervised learning for improving word alignment
ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing
A semi-supervised word alignment algorithm with partial manual alignments
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
EMDC: a semi-supervised approach for word alignment
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Word alignment combination over multiple word segmentation
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Goodness: a method for measuring machine translation confidence
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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In this paper we present a confidence measure for word alignment based on the posterior probability of alignment links. We introduce sentence alignment confidence measure and alignment link confidence measure. Based on these measures, we improve the alignment quality by selecting high confidence sentence alignments and alignment links from multiple word alignments of the same sentence pair. Additionally, we remove low confidence alignment links from the word alignment of a bilingual training corpus, which increases the alignment F-score, improves Chinese-English and Arabic-English translation quality and significantly reduces the phrase translation table size.