Papers by Olatz Perez-de-Viñaspre
Does Corpus Quality Really Matter for Low-Resource Languages? (2022.emnlp-main)
Copied to clipboard
| Challenge: | Existing work on multilingual pre-training has relied on automatically filtered versions of CommonCrawl. |
| Approach: | They propose to use tailored crawling to identify and scrape websites with high-quality content to improve representation learning in Basque. |
| Outcome: | The proposed corpus, called EusCrawl, has a much higher quality according to native annotators than the Basque portion of popular multilingual corpora like CC100 and mC4. |
Improving and Simplifying Template-Based Named Entity Recognition (2023.eacl-srw)
Copied to clipboard
| Challenge: | Named Entity Recognition (NER) is traditionally approached as a sequence labeling task where a tag is predicted for each token. |
| Approach: | They propose to convert a Named Entity Recognition task into a seq2seq task by generating synthetic sentences using templates. |
| Outcome: | The proposed model outperforms the current state-of-the-art approach in resource-rich, low resource and domain transfer settings and the negative examples play an important role in its performance. |
Unsupervised Machine Translation in Real-World Scenarios (2022.lrec-1)
Copied to clipboard
Ona de Gibert Bonet, Iakes Goenaga, Jordi Armengol-Estapé, Olatz Perez-de-Viñaspre, Carla Parra Escartín, Marina Sanchez, Mārcis Pinnis, Gorka Labaka, Maite Melero
| Challenge: | a recent study has shown that unsupervised methods rely on monolingual corpora to build MT systems. |
| Approach: | They present the results of the MT4All CEF project using monolingual corpora . they propose to generate bilingual dictionaries and translation models from monolingual data . |
| Outcome: | The proposed method generates bilingual dictionaries and translation models from monolingual corpora . results show that it is comparable to general domain supervised translation . |
BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions (2022.lrec-1)
Copied to clipboard
Nayla Escribano, Jon Ander Gonzalez, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta, Simón Peña-Fernández, Olatz Perez-de-Viñaspre, Rodrigo Agerri
| Challenge: | a new corpus of Basque parliamentary transcripts is released to study political discourse in contrasting languages . a corpus containing political discourses from public institutions can be used for computational social science research . |
| Approach: | They present a corpus from Basque parliamentary transcripts and enrich it with metadata related to relevant attributes of speakers and speeches. |
| Outcome: | The proposed corpus is characterized by heavy Basque-Spanish code-switching . it provides interesting insights about language use of political representatives across time, parties and gender . |