No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru

Gina Bustamante, Arturo Oncevay, Roberto Zariquiey


Abstract
We introduce new monolingual corpora for four indigenous and endangered languages from Peru: Shipibo-konibo, Ashaninka, Yanesha and Yine. Given the total absence of these languages in the web, the extraction and processing of texts from PDF files is relevant in a truly low-resource language scenario. Our procedure for monolingual corpus creation considers language-specific and language-agnostic steps, and focuses on educational PDF files with multilingual sentences, noisy pages and low-structured content. Through an evaluation based on language modelling and character-level perplexity on a subset of manually extracted sentences, we determine that our method allows the creation of clean corpora for the four languages, a key resource for natural language processing tasks nowadays.
Anthology ID:
2020.lrec-1.356
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2914–2923
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.356
DOI:
Bibkey:
Cite (ACL):
Gina Bustamante, Arturo Oncevay, and Roberto Zariquiey. 2020. No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 2914–2923, Marseille, France. European Language Resources Association.
Cite (Informal):
No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru (Bustamante et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.356.pdf