Automatically enriching spoken corpora with syntactic information for linguistic studies
Alexis Nasr, Frederic Bechet, Benoit Favre, Thierry Bazillon, Jose Deulofeu, Andre Valli
Abstract
Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances. We propose in this paper two solutions to this problem. The first one relies on a disfluencies predictor that detects disfluencies and removes them prior to parsing. The second one integrates the disfluencies in the syntactic structure of the utterances and train a disfluencies aware parser.- Anthology ID:
- L14-1631
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 854–858
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/816_Paper.pdf
- DOI:
- Cite (ACL):
- Alexis Nasr, Frederic Bechet, Benoit Favre, Thierry Bazillon, Jose Deulofeu, and Andre Valli. 2014. Automatically enriching spoken corpora with syntactic information for linguistic studies. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 854–858, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Automatically enriching spoken corpora with syntactic information for linguistic studies (Nasr et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/816_Paper.pdf