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Miquel Esplà-Gomis

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
ORCID 0000-0002-2682-066X

identity via Semantic Scholar / OpenAlex

most citedNon-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

8 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 1 cited

Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages

Rik van Noord, Taja Kuzman, Peter Rupnik +4

Large, curated, web-crawled corpora play a vital role in training language models (LMs). They form the lion's share of the training data in virtually all recent LMs, such as the we…

cs.CL2024★ 8 cited

Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz +1

When the amount of parallel sentences available to train a neural machine translation is scarce, a common practice is to generate new synthetic training samples from them. A number…

cs.CL2024★ 2 cited

Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation

Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz +1

Computer-aided translation (CAT) tools based on translation memories (MT) play a prominent role in the translation workflow of professional translators. However, the reduced availa…

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