activity
20172024
most citedFine-grained human evaluation of neural versus phrase-based machine translation

72 citations · 156 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2024★ 20 cited

Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence

Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas +1

Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an ev…

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★ 47 cited

Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian

Filip Klubička, Antonio Toral, Víctor M. Sánchez-Cartagena

This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-establ…

cs.CL2017★ 72 cited

Fine-grained human evaluation of neural versus phrase-based machine translation

Filip Klubička, Antonio Toral, Víctor M. Sánchez-Cartagena

We compare three approaches to statistical machine translation (pure phrase-based, factored phrase-based and neural) by performing a fine-grained manual evaluation via error annota…

cs.CL2017★ 2 cited

A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions

Antonio Toral, Víctor M. Sánchez-Cartagena

We aim to shed light on the strengths and weaknesses of the newly introduced neural machine translation paradigm. To that end, we conduct a multifaceted evaluation in which we comp…