Statistical Machine Translation of Texts with Misspelled Words

  title={Statistical Machine Translation of Texts with Misspelled Words},
  author={Nicola Bertoldi and Mauro Cettolo and Marcello Federico},
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… CONTINUE READING
Highly Cited
This paper has 27 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
21 Citations
22 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 21 extracted citations


Publications referenced by this paper.
Showing 1-10 of 22 references

A survey of types of text noise and techniques to handle noisy text

  • L. V. Subramaniam
  • In Proceedings of AND,
  • 2009

Recent efforts in spoken language processing

  • F. Casacuberta
  • IEEE Signal Processing Magazine,
  • 2008

Effects of age and gender on blogging

  • J. Schler
  • In Proceedings of AAAI-CAAW,
  • 2006

Similar Papers

Loading similar papers…