@inproceedings{ling-etal-2011-named,
    title = "Named entity translation using anchor texts",
    author = "Ling, Wang  and
      Calado, P{\'a}vel  and
      Martins, Bruno  and
      Trancoso, Isabel  and
      Black, Alan  and
      Coheur, Lu{\'\i}sa",
    editor = {Federico, Marcello  and
      Hwang, Mei-Yuh  and
      R{\"o}dder, Margit  and
      St{\"u}ker, Sebastian},
    booktitle = "Proceedings of the 8th International Workshop on Spoken Language Translation: Papers",
    month = dec # " 8-9",
    year = "2011",
    address = "San Francisco, California",
    url = "https://aclanthology.org/2011.iwslt-papers.3",
    pages = "206--213",
    abstract = "This work describes a process to extract Named Entity (NE) translations from the text available in web links (anchor texts). It translates a NE by retrieving a list of web documents in the target language, extracting the anchor texts from the links to those documents and finding the best translation from the anchor texts, using a combination of features, some of which, are specific to anchor texts. Experiments performed on a manually built corpora, suggest that over 70{\%} of the NEs, ranging from unpopular to popular entities, can be translated correctly using sorely anchor texts. Tests on a Machine Translation task indicate that the system can be used to improve the quality of the translations of state-of-the-art statistical machine translation systems.",
}