1887
Recent Trends in Computational Terminology
  • ISSN 0929-9971
  • E-ISSN: 1569-9994
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Abstract

The past decade has witnessed exciting work in the field of Statistical Machine Translation (SMT). However, accurate evaluation of its potential in real-life contexts is still an open question. In this study, we investigate the behavior of an SMT engine faced with a corpus far different from the one it has been trained on. We show that terminological databases are obvious resources that should be used to boost the performance of a statistical engine. We propose and evaluate one way of integrating terminology into a SMT engine which yields a significant reduction in word error rate.
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/content/journals/10.1075/term.10.1.07lan
2004-01-01
2019-10-19
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References

http://instance.metastore.ingenta.com/content/journals/10.1075/term.10.1.07lan
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