ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus
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.
Cite
@article{arxiv.2107.06632,
title = {ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus},
author = {Ayyoob Imani and Masoud Jalili Sabet and Philipp Dufter and Michael Cysouw and Hinrich Schütze},
journal= {arXiv preprint arXiv:2107.06632},
year = {2021}
}
Comments
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing