Summary of the paper

Title Name Translation based on Fine-grained Named Entity Recognition in a Single Language
Authors Kugatsu Sadamitsu, Itsumi Saito, Taichi Katayama, Hisako Asano and 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.
Topics Machine Translation, SpeechToSpeech Translation, Named Entity Recognition, Corpus (Creation, Annotation, etc.)
Full paper Name Translation based on Fine-grained Named Entity Recognition in a Single Language
Bibtex @InProceedings{SADAMITSU16.246,
  author = {Kugatsu Sadamitsu and Itsumi Saito and Taichi Katayama and Hisako Asano and Yoshihiro Matsuo},
  title = {Name Translation based on Fine-grained Named Entity Recognition in a Single Language},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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