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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus

MCML Authors

Ayyoob Imani

→ Group Hinrich Schütze
Computational Linguistics

Masoud Jalili Sabet

Dr.

* Former Member

→ Group Hinrich Schütze
Computational Linguistics

Hinrich Schütze

Prof. Dr.

Principal Investigator

Computational Linguistics

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.

inproceedings

ACL-IJCNLP 2021

Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Bangkok, Thailand, Aug 01-06, 2021.