@inproceedings{fung-1998-statistical,
    title = "A statistical view on bilingual lexicon extraction",
    author = "Fung, Pascale",
    editor = "Farwell, David  and
      Gerber, Laurie  and
      Hovy, Eduard",
    booktitle = "Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers",
    month = oct # " 28-31",
    year = "1998",
    address = "Langhorne, PA, USA",
    publisher = "Springer",
    url = "https://preview.aclanthology.org/ingest-emnlp/1998.amta-papers.1/",
    pages = "1--17",
    abstract = "We present two problems for statistically extracting bilingual lexicon: (1) How can noisy parallel corpora be used? (2) How can non-parallel yet comparable corpora be used? We describe our own work and contribution in relaxing the constraint of using only clean parallel corpora. DKvec is a method for extracting bilingual lexicons, from noisy parallel corpora based on arrival distances of words in noisy parallel corpora. Using DKvec on noisy parallel corpora in English/Japanese and English/Chinese, our evaluations show a 55.35{\%} precision from a small corpus and 89.93{\%} precision from a larger corpus. Our major contribution is in the extraction of bilingual lexicon from non-parallel corpora. We present a first such result in this area, from a new method-Convec. Convec is based on context information of a word to be translated."
}