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

no code implementations • COLING 2020 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Felipe S{\'a}nchez-Mart{\'\i}nez

The study covers eight language pairs, different training corpus sizes, two architectures, and three types of annotation: dummy tags (with no linguistic information at all), part-of-speech tags, and morpho-syntactic description tags, which consist of part of speech and morphological features.

Machine Translation TAG +1

Global Under-Resourced Media Translation (GoURMET)

no code implementations • WS 2019 • Alex Birch, ra, Barry Haddow, Ivan Tito, Antonio Valerio Miceli Barone, Rachel Bawden, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel L. Forcada, Miquel Espl{\`a}-Gomis, V{\'\i}ctor S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Wilker Aziz, Andrew Secker, Peggy van der Kreeft

Translation

Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing

no code implementations • WS 2019 • John Ortega, Felipe S{\'a}nchez-Mart{\'\i}nez, Marco Turchi, Matteo Negri

Automatic Post-Editing

The Universitat d'Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019

no code implementations • WS 2019 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Felipe S{\'a}nchez-Mart{\'\i}nez

This paper describes the two submissions of Universitat d{'}Alacant to the English-to-Kazakh news translation task at WMT 2019.

Machine Translation Transfer Learning +1

UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016

no code implementations • WS 2016 • Miquel Espl{\`a}-Gomis, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel Forcada

Machine Translation Translation

UAlacant word-level machine translation quality estimation system at WMT 2015

no code implementations • WS 2015 • Miquel Espl{\`a}-Gomis, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel Forcada

Machine Translation Translation

Using on-line available sources of bilingual information for word-level machine translation quality estimation

no code implementations • WS 2015 • Miquel Espl{\`a}-Gomis, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel L. Forcada

Machine Translation Translation

Unsupervised training of maximum-entropy models for lexical selection in rule-based machine translation

no code implementations • WS 2015 • Francis M. Tyers, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel L. Forcada

Language Modelling Machine Translation +2

A general framework for minimizing translation effort: towards a principled combination of translation technologies in computer-aided translation

no code implementations • WS 2015 • Mikel L. Forcada, Felipe S{\'a}nchez-Mart{\'\i}nez

Machine Translation Translation

Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules

no code implementations • WS 2014 • Raphael Rubino, Antonio Toral, Victor M. S{\'a}nchez-Cartagena, Jorge Ferr{\'a}ndez-Tordera, Sergio Ortiz-Rojas, Gema Ram{\'\i}rez-S{\'a}nchez, Felipe S{\'a}nchez-Mart{\'\i}nez, Andy Way

Machine Translation Translation +1

The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation

no code implementations • WS 2014 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Felipe S{\'a}nchez-Mart{\'\i}nez

Machine Translation Translation

UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment

no code implementations • SEMEVAL 2012 • Miquel Espl{\`a}-Gomis, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel L. Forcada

Information Retrieval Machine Translation +4