NLPExplorer

Felipe Sanchez Martinez

Number of Papers:- 29

Number of Citations:- 24

First ACL Paper:- 2005

Latest ACL Paper:- 2020

Venues:-

EAMT

COLING

EMNLP

MTSummit

RANLP

WMT

ACL

*SEMEVAL

Co-Authors:-

Antonio M Corbi Bellot

Similar Authors:-

Paavo Alku

Jorge Antonio Leoni De Leon

Josep Angel Mas

Mara Chinea Rios1

Josu Landa

A multi-source approach for Breton–French hybrid machine translation EAMT

Víctor M. Sánchez-Cartagena | Mikel L. Forcada | Felipe Sánchez-Martínez |

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

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

An English-Swahili parallel corpus and its use for neural machine translation in the news domain EAMT

Bicleaner at WMT 2020: Universitat d’Alacant-Prompsit’s submission to the parallel corpus filtering shared task EMNLP WMT

Miquel Esplà-Gomis | Víctor M. Sánchez-Cartagena | Jaume Zaragoza-Bernabeu | Felipe Sánchez-Martínez |

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

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

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

John Ortega | Felipe Sánchez-Martínez | Marco Turchi | Matteo Negri |

Global Under-Resourced Media Translation (GoURMET) MTSummit WS

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

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

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

Miquel Esplà-Gomis | Felipe Sánchez-Martínez | Mikel Forcada |

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

Miquel Esplà-Gomis | Felipe Sánchez-Martínez | Mikel Forcada |

Proceedings of the 18th Annual Conference of the European Association for Machine Translation EAMT WS

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

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

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

Mikel L. Forcada | Felipe Sánchez-Martínez |

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

Francis M. Tyers | Felipe Sánchez-Martínez | Mikel L. Forcada |

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

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

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

Francis M. Tyers | Felipe Sánchez-Martinez | Mikel L. Forcada |

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

Mikel L. Forcada | Felipe Sánchez-Martínez |

Proceedings of the 18th Annual Conference of the European Association for Machine Translation EAMT

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

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

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

An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words EAMT

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

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

Flexible finite-state lexical selection for rule-based machine translation EAMT

Francis M. Tyers | Felipe Sánchez-Martínez | Mikel L. Forcada |

Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases RANLP

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

The Universitat d’Alacant hybrid machine translation system for WMT 2011 WMT WS

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

Using word alignments to assist computer-aided translation users by marking which target-side words to change or keep unedited EAMT

Miquel Esplà | Felipe Sánchez-Martínez | Mikel L. Forcada |

Felipe Sanchez Martinez

Number of Papers:- 29

Number of Citations:- 24

First ACL Paper:- 2005

Latest ACL Paper:- 2020

Venues:-

Co-Authors:-

Similar Authors:-

A multi-source approach for Breton–French hybrid machine translation EAMT

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

An English-Swahili parallel corpus and its use for neural machine translation in the news domain EAMT

Bicleaner at WMT 2020: Universitat d’Alacant-Prompsit’s submission to the parallel corpus filtering shared task EMNLP WMT

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

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

Global Under-Resourced Media Translation (GoURMET) MTSummit WS

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

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

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

Proceedings of the 18th Annual Conference of the European Association for Machine Translation EAMT WS

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

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

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

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

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

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

Proceedings of the 18th Annual Conference of the European Association for Machine Translation EAMT

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

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

An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words EAMT

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

Flexible finite-state lexical selection for rule-based machine translation EAMT

Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases RANLP

The Universitat d’Alacant hybrid machine translation system for WMT 2011 WMT WS

Using word alignments to assist computer-aided translation users by marking which target-side words to change or keep unedited EAMT

Choosing the best machine translation system to translate a sentence by using only source-language information EAMT

Marker-Based Filtering of Bilingual Phrase Pairs for SMT EAMT

An open-source shallow-transfer machine translation engine for the Romance languages of Spain EAMT