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:
- 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)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/L16-1097.pdf