Summary of the paper

Title Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Authors Stanislas Oger, Georges Linares and Frederic Bechet
Abstract Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We suggest that the local context of the out-of-vocabulary (OOV) words contains relevant information on the OOV words. With this information, we propose to use the Web to build locally-augmented lexicons which are used in a final local decoding pass. First, an automatic web based OOV word detection method is proposed. Then, we demonstrate the relevance of the Web for the OOV word retrieval. Different methods are proposed to retrieve the hypothesis words. We finally retrieve about 26% of the OOV words with a lexicon increase of less than 1000 words using the reference context.
Language
Topics Lexicon, lexical database, Language modelling, Speech recognition and understanding
Full paper Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Slides Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Bibtex @InProceedings{OGER08.193,
  author = {Stanislas Oger, Georges Linares and Frederic Bechet},
  title = {Local Methods for On-Demand Out-of-Vocabulary Word Retrieval},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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