Measuring the Impact of Spelling Errors on the Quality of Machine Translation

Irina Galinskaya, Valentin Gusev, Elena Mescheryakova, Mariya Shmatova


Abstract
In this paper we show how different types of spelling errors influence the quality of machine translation. We also propose a method to evaluate the impact of spelling errors correction on translation quality without expensive manual work of providing reference translations.
Anthology ID:
L14-1555
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2683–2689
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/708_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Irina Galinskaya, Valentin Gusev, Elena Mescheryakova, and Mariya Shmatova. 2014. Measuring the Impact of Spelling Errors on the Quality of Machine Translation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2683–2689, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Measuring the Impact of Spelling Errors on the Quality of Machine Translation (Galinskaya et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/708_Paper.pdf