@inproceedings{lapshinova-koltunski-etal-2021-tracing,
    title = "Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces",
    author = "Lapshinova-Koltunski, Ekaterina  and
      Przybyl, Heike  and
      Bizzoni, Yuri",
    editor = "Braud, Chlo{\'e}  and
      Hardmeier, Christian  and
      Li, Junyi Jessy  and
      Louis, Annie  and
      Strube, Michael  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 2nd Workshop on Computational Approaches to Discourse",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic and Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.codi-main.13/",
    doi = "10.18653/v1/2021.codi-main.13",
    pages = "134--142",
    abstract = "In the present paper, we explore lexical contexts of discourse markers in translation and interpreting on the basis of word embeddings. Our special interest is on contextual variation of the same discourse markers in (written) translation vs. (simultaneous) interpreting. To explore this variation at the lexical level, we use a data-driven approach: we compare bilingual neural word embeddings trained on source-to-translation and source-to-interpreting aligned corpora. Our results show more variation of semantically related items in translation spaces vs. interpreting ones and a more consistent use of fewer connectives in interpreting. We also observe different trends with regard to the discourse relation types."
}