Quantifying the utility of parallel corpora

  • Authors:
  • Martin Franz;J. Scott McCarley;Todd Ward;Wei-Jing Zhu

  • Affiliations:
  • IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2001

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Abstract

Our English-Chinese cross-language IR system is trained from parallel corpora; we investigate its performance as a function of training corpus size for three different training corpora. We find that the performance of the system as trained on the three parallel corpora can be related by a simple measure, namely the out-of-vocabulary rate of query words.