@inproceedings{imanigooghari-etal-2021-parcoure,
title = "{P}ar{C}our{E}: A Parallel Corpus Explorer for a Massively Multilingual Corpus",
author = {ImaniGooghari, Ayyoob and
Jalili Sabet, Masoud and
Dufter, Philipp and
Cysou, Michael and
Sch{\"u}tze, Hinrich},
editor = "Ji, Heng and
Park, Jong C. and
Xia, Rui",
booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.acl-demo.8",
doi = "10.18653/v1/2021.acl-demo.8",
pages = "63--72",
abstract = "With more than 7000 languages worldwide, multilingual natural language processing (NLP) is essential both from an academic and commercial perspective. Researching typological properties of languages is fundamental for progress in multilingual NLP. Examples include assessing language similarity for effective transfer learning, injecting inductive biases into machine learning models or creating resources such as dictionaries and inflection tables. We provide ParCourE, an online tool that allows to browse a word-aligned parallel corpus, covering 1334 languages. We give evidence that this is useful for typological research. ParCourE can be set up for any parallel corpus and can thus be used for typological research on other corpora as well as for exploring their quality and properties.",
}
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%0 Conference Proceedings
%T ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus
%A ImaniGooghari, Ayyoob
%A Jalili Sabet, Masoud
%A Dufter, Philipp
%A Cysou, Michael
%A Schütze, Hinrich
%Y Ji, Heng
%Y Park, Jong C.
%Y Xia, Rui
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F imanigooghari-etal-2021-parcoure
%X With more than 7000 languages worldwide, multilingual natural language processing (NLP) is essential both from an academic and commercial perspective. Researching typological properties of languages is fundamental for progress in multilingual NLP. Examples include assessing language similarity for effective transfer learning, injecting inductive biases into machine learning models or creating resources such as dictionaries and inflection tables. We provide ParCourE, an online tool that allows to browse a word-aligned parallel corpus, covering 1334 languages. We give evidence that this is useful for typological research. ParCourE can be set up for any parallel corpus and can thus be used for typological research on other corpora as well as for exploring their quality and properties.
%R 10.18653/v1/2021.acl-demo.8
%U https://aclanthology.org/2021.acl-demo.8
%U https://doi.org/10.18653/v1/2021.acl-demo.8
%P 63-72
Markdown (Informal)
[ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus](https://aclanthology.org/2021.acl-demo.8) (ImaniGooghari et al., ACL-IJCNLP 2021)
ACL
- Ayyoob ImaniGooghari, Masoud Jalili Sabet, Philipp Dufter, Michael Cysou, and Hinrich Schütze. 2021. ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 63–72, Online. Association for Computational Linguistics.