@inproceedings{liu-etal-2018-towards,
    title = "Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms",
    author = "Liu, Jingshu  and
      Morin, Emmanuel  and
      Saldarriaga, Pe{\~n}a",
    editor = "Bender, Emily M.  and
      Derczynski, Leon  and
      Isabelle, Pierre",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/C18-1242/",
    pages = "2855--2866",
    abstract = "Extracting a bilingual terminology for multi-word terms from comparable corpora has not been widely researched. In this work we propose a unified framework for aligning bilingual terms independently of the term lengths. We also introduce some enhancements to the context-based and the neural network based approaches. Our experiments show the effectiveness of our enhancements of previous works and the system can be adapted in specialized domains."
}