Name Translation based on Fine-grained Named Entity Recognition in a Single Language

Kugatsu Sadamitsu, Itsumi Saito, Taichi Katayama, Hisako Asano, Yoshihiro Matsuo


Abstract
We propose named entity abstraction methods with fine-grained named entity labels for improving statistical machine translation (SMT). The methods are based on a bilingual named entity recognizer that uses a monolingual named entity recognizer with transliteration. Through experiments, we demonstrate that incorporating fine-grained named entities into statistical machine translation improves the accuracy of SMT with more adequate granularity compared with the standard SMT, which is a non-named entity abstraction method.
Anthology ID:
L16-1097
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
613–619
Language:
URL:
https://aclanthology.org/L16-1097
DOI:
Bibkey:
Cite (ACL):
Kugatsu Sadamitsu, Itsumi Saito, Taichi Katayama, Hisako Asano, and Yoshihiro Matsuo. 2016. Name Translation based on Fine-grained Named Entity Recognition in a Single Language. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 613–619, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Name Translation based on Fine-grained Named Entity Recognition in a Single Language (Sadamitsu et al., LREC 2016)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/L16-1097.pdf