@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces
%A Lapshinova-Koltunski, Ekaterina
%A Przybyl, Heike
%A Bizzoni, Yuri
%Y Braud, Chloé
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Louis, Annie
%Y Strube, Michael
%Y Zeldes, Amir
%S Proceedings of the 2nd Workshop on Computational Approaches to Discourse
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic and Online
%F lapshinova-koltunski-etal-2021-tracing
%X 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.
%R 10.18653/v1/2021.codi-main.13
%U https://aclanthology.org/2021.codi-main.13
%U https://doi.org/10.18653/v1/2021.codi-main.13
%P 134-142
Markdown (Informal)
[Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces](https://aclanthology.org/2021.codi-main.13) (Lapshinova-Koltunski et al., CODI 2021)
ACL