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I. Dan Melamed

Bibliography

    Melamed, I. Dan. 1995. Automatic Evaluation and Uniform Filter Cascades for Inducing N-Best Translation Lexicons.” in Proceedings of the Third Workshop on Very Large Corpora, edited by David Yarowsky and Kenneth W. Church, pp. 184–198. Somerset, New Jersey: Association for Computational Linguistics.
    Melamed, I. Dan. 1996. A Geometric Approach to Mapping Bitext Correspondence.” in EMNLP’96. Proceedings of the Conference on Empirical Methods in Natural Language Processing, edited by Eric Brill and Kenneth W. Church, pp. 1–12. Somerset, New Jersey: Association for Computational Linguistics.
    Melamed, I. Dan. 1997a. Automatic Discovery of Non-Compositional Compounds in Parallel Data.” in Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, edited by Claire Cardie and Ralph M. Weischedel, pp. 97–108. Somerset, New Jersey: Association for Computational Linguistics.
    Melamed, I. Dan. 1997b. A Portable Algorithm for Mapping Bitext Correspondence.” in ACL-97. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, edited by Paul R. Cohen and Wolfgang Wahlster, pp. 305–312. Somerset, New Jersey: Association for Computational Linguistics.
    Melamed, I. Dan. 1997c. A Word-to-Word Model of Translational Equivalence.” in ACL-97. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, edited by Paul R. Cohen and Wolfgang Wahlster, pp. 490–497. Somerset, New Jersey: Association for Computational Linguistics.
    Melamed, I. Dan. 2000. Models of Translation Equivalence among Words.” Computational Linguistics 26(2): 221–249.
    Melamed, I. Dan and Li, Hang. 1999. Review of Schütze (1997).” Computational Linguistics 25(3): 436–439.

Further References

    Schütze, Hinrich. 1997. Ambiguity Resolution in Language Learning: Computational and Cognitive Models. Stanford, California: CSLI Publications.