Spelling correction for the telecommunications network for the deaf
Communications of the ACM
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Natural Language Engineering
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EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
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IEEE Transactions on Audio, Speech, and Language Processing
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WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
A unified approach to transliteration-based text input with online spelling correction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Statistical machine translation enhancements through linguistic levels: A survey
ACM Computing Surveys (CSUR)
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This paper investigates the impact of misspelled words in statistical machine translation and proposes an extension of the translation engine for handling misspellings. The enhanced system decodes a word-based confusion network representing spelling variations of the input text. We present extensive experimental results on two translation tasks of increasing complexity which show how misspellings of different types do affect performance of a statistical machine translation decoder and to what extent our enhanced system is able to recover from such errors.