activity
20122024
most citedInferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora

38 citations · 76 across the 8 of their papers we have counts for

collaborators

8 papers

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★ 5 cited

Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation

Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez

This paper studies the effects of word-level linguistic annotations in under-resourced neural machine translation, for which there is incomplete evidence in the literature. The stu…

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…

cs.CL2018

UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networks

Miquel Esplà-Gomis, Felipe Sánchez-Martínez, Mikel L. Forcada

We describe the Universitat d'Alacant submissions to the word- and sentence-level machine translation (MT) quality estimation (QE) shared task at WMT 2018. Our approach to word-lev…

cs.CL2014★ 11 cited

Generalized Biwords for Bitext Compression and Translation Spotting

Felipe Sánchez-Martínez, Rafael C. Carrasco, Miguel A. Martínez-Prieto +1

Large bilingual parallel texts (also known as bitexts) are usually stored in a compressed form, and previous work has shown that they can be more efficiently compressed if the fact…

cs.CL2014★ 38 cited

Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora

Felipe Sánchez-Martínez, Mikel L. Forcada

This paper describes a method for the automatic inference of structural transfer rules to be used in a shallow-transfer machine translation (MT) system from small parallel corpora.…

cs.CL2013★ 10 cited

An open diachronic corpus of historical Spanish: annotation criteria and automatic modernisation of spelling

Felipe Sánchez-Martínez, Isabel Martínez-Sempere, Xavier Ivars-Ribes +1

The IMPACT-es diachronic corpus of historical Spanish compiles over one hundred books --containing approximately 8 million words-- in addition to a complementary lexicon which link…

cs.CL2012★ 2 cited

Using external sources of bilingual information for on-the-fly word alignment

Miquel Esplà-Gomis, Felipe Sánchez-Martínez, Mikel L. Forcada

In this paper we present a new and simple language-independent method for word-alignment based on the use of external sources of bilingual information such as machine translation s…