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Víctor M. Sánchez-Cartagena
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- affiliation: University of Alicante, Spain
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2020 – today
- 2024
- [j11]Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 837-850 (2024) - [c28]Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz, Víctor M. Sánchez-Cartagena, Andrés Lou, Cristian García-Romero, Aarón Galiano Jiménez, Miquel Esplà-Gomis:
Lightweight neural translation technologies for low-resource languages. EAMT (2) 2024: 4-5 - [c27]Andrés Lou, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena:
Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars. NAACL-HLT 2024: 2838-2850 - [e1]Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Rachel Bawden, Víctor M. Sánchez-Cartagena, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Vera Cabarrão, Konstantinos Chatzitheodorou, Mary Nurminen, Diptesh Kanojia, Helena Moniz:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024. European Association for Machine Translation (EAMT) 2024, ISBN 978-1-0686907-0-9 [contents] - [i9]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation. CoRR abs/2401.08374 (2024) - [i8]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation. CoRR abs/2401.16078 (2024) - [i7]Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation. CoRR abs/2401.16086 (2024) - [i6]Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego:
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence. CoRR abs/2402.03948 (2024) - [i5]Andrés Lou, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena:
Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars. CoRR abs/2404.07673 (2024) - 2023
- [j10]Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego:
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence. IEEE Trans. Learn. Technol. 16(6): 955-969 (2023) - [c26]Aarón Galiano Jiménez, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
Exploiting large pre-trained models for low-resource neural machine translation. EAMT 2023: 59-68 - 2022
- [c25]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation. EMNLP 2022: 7532-7543 - 2021
- [c24]Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach. EMNLP (1) 2021: 8502-8516 - [c23]Alexandra Birch, Barry Haddow, Antonio Valerio Miceli Barone, Jindrich Helcl, Jonas Waldendorf, Felipe Sánchez-Martínez, Mikel L. Forcada, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Wilker Aziz, Lina Murady, Sevi Sariisik, Peggy van der Kreeft, Kay Macquarrie:
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months. MTSummit (1) 2021: 92-102 - [i4]Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach. CoRR abs/2109.03645 (2021) - 2020
- [c22]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation. COLING 2020: 3938-3950 - [c21]Víctor M. Sánchez-Cartagena, Mikel L. Forcada, Felipe Sánchez-Martínez:
A multi-source approach for Breton-French hybrid machine translation. EAMT 2020: 61-70 - [c20]Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplà-Gomis, Andrew Secker, Susie Coleman, Julie Wall:
An English-Swahili parallel corpus and its use for neural machine translation in the news domain. EAMT 2020: 299-308 - [c19]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Jaume Zaragoza-Bernabeu, Felipe Sánchez-Martínez:
Bicleaner at WMT 2020: Universitat d'Alacant-Prompsit's submission to the parallel corpus filtering shared task. WMT@EMNLP 2020: 952-958
2010 – 2019
- 2019
- [c18]Alexandra Birch, Barry Haddow, Ivan Titov, Antonio Valerio Miceli Barone, Rachel Bawden, Felipe Sánchez-Martínez, Mikel L. Forcada, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Wilker Aziz, Andrew Secker, Peggy van der Kreeft:
Global Under-Resourced Media Translation (GoURMET). MTSummit (2) 2019: 122 - [c17]Sheila Castilho, Natália Resende, Federico Gaspari, Andy Way, Tony O'Dowd, Marek Mazur, Manuel Herranz, Alexandre Helle, Gema Ramírez-Sánchez, Víctor M. Sánchez-Cartagena, Marcis Pinnis, Valters Sics:
Large-scale Machine Translation Evaluation of the iADAATPA Project. MTSummit (2) 2019: 179-185 - [c16]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
The Universitat d'Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019. WMT (2) 2019: 356-363 - 2018
- [j9]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian. Mach. Transl. 32(3): 195-215 (2018) - [c15]Víctor M. Sánchez-Cartagena:
Prompsit's Submission to the IWSLT 2018 Low Resource Machine Translation Task. IWSLT 2018: 95-103 - [c14]Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, Gema Ramírez-Sánchez:
Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task. WMT (shared task) 2018: 955-962 - [i3]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian. CoRR abs/1802.01451 (2018) - 2017
- [j8]Miquel Esplà-Gomis, Rafael C. Carrasco, Víctor M. Sánchez-Cartagena, Mikel L. Forcada, Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz:
Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries. Lang. Resour. Evaluation 51(4): 989-1017 (2017) - [j7]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation. Prague Bull. Math. Linguistics 108: 121-132 (2017) - [c13]Antonio Toral, Víctor M. Sánchez-Cartagena:
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions. EACL (1) 2017: 1063-1073 - [i2]Antonio Toral, Víctor M. Sánchez-Cartagena:
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions. CoRR abs/1701.02901 (2017) - [i1]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-grained human evaluation of neural versus phrase-based machine translation. CoRR abs/1706.04389 (2017) - 2016
- [j6]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Integrating Rules and Dictionaries from Shallow-Transfer Machine Translation into Phrase-Based Statistical Machine Translation. J. Artif. Intell. Res. 55: 17-61 (2016) - [j5]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation. Prague Bull. Math. Linguistics 106: 193-204 (2016) - [c12]Víctor M. Sánchez-Cartagena, Nikola Ljubesic, Filip Klubicka:
Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian. EAMT 2016: 354-360 - [c11]Víctor M. Sánchez-Cartagena, Antonio Toral:
Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences. WMT 2016: 362-370 - 2015
- [j4]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora. Comput. Speech Lang. 32(1): 46-90 (2015) - [j3]Antonio Toral, Flammie A. Pirinen, Andy Way, Raphaël Rubino, Gema Ramírez-Sánchez, Sergio Ortiz-Rojas, Víctor M. Sánchez-Cartagena, Jorge Ferrández-Tordera:
Automatic Acquisition of Machine Translation Resources in the Abu-MaTran Project. Proces. del Leng. Natural 55: 185-188 (2015) - 2014
- [c10]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Felipe Sánchez-Martínez, Rafael C. Carrasco, Mikel L. Forcada, Juan Antonio Pérez-Ortiz:
An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words. EAMT 2014: 19-26 - [c9]Grégoire Détrez, Víctor M. Sánchez-Cartagena, Aarne Ranta:
Sharing resources between free/open-source rule-based machine translation systems: Grammatical Framework and Apertium. LREC 2014: 4394-4400 - [c8]Raphael Rubino, Antonio Toral, Víctor M. Sánchez-Cartagena, Jorge Ferrández-Tordera, Sergio Ortiz-Rojas, Gema Ramírez-Sánchez, Felipe Sánchez-Martínez, Andy Way:
Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules. WMT@ACL 2014: 171-177 - [c7]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation. WMT@ACL 2014: 178-185 - 2012
- [c6]Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz:
Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation. LREC 2012: 3422-3429 - 2011
- [c5]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
Multimodal Building of Monolingual Dictionaries for Machine Translation by Non-Expert Users. MTSummit 2011 - [c4]Víctor M. Sánchez-Cartagena, Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz:
Integrating shallow-transfer rules into phrase-based statistical machine translation. MTSummit 2011 - [c3]Víctor M. Sánchez-Cartagena, Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz:
Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases. RANLP 2011: 90-96 - [c2]Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
Enlarging Monolingual Dictionaries for Machine Translation with Active Learning and Non-Expert Users. RANLP 2011: 339-346 - [c1]Víctor M. Sánchez-Cartagena, Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz:
The Universitat d'Alacant hybrid machine translation system for WMT 2011. WMT@EMNLP 2011: 457-463 - 2010
- [j2]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
Tradubi: Open-Source Social Translation for the Apertium Machine Translation Platform. Prague Bull. Math. Linguistics 93: 47-56 (2010) - [j1]Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
ScaleMT: a Free/Open-Source Framework for Building Scalable Machine Translation Web Services. Prague Bull. Math. Linguistics 93: 97-106 (2010)
Coauthor Index
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