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Antonio Toral
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2020 – today
- 2024
- [j19]Lukas Edman, Gabriele Sarti, Antonio Toral, Gertjan van Noord, Arianna Bisazza:
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. Trans. Assoc. Comput. Linguistics 12: 392-410 (2024) - [c94]Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Esplà-Gomis, Gema Ramírez-Sánchez, Antonio Toral:
Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages. LREC/COLING 2024: 5221-5234 - [c93]Joss Moorkens, Pilar Sánchez-Gijón, Esther Simon, Mireia Urpí, Nora Aranberri, Dragos Ciobanu, Ana Guerberof Arenas, Janiça Hackenbuchner, Dorothy Kenny, Ralph Krüger, Miguel Rios, Isabel Ginel, Caroline Rossi, Alina Secara, Antonio Toral:
Literacy in Digital Environments and Resources (LT-LiDER). EAMT (2) 2024: 55-56 - [c92]Yongjian Chen, Antonio Toral, Zhijian Li, Mireia Farrús:
Improving NMT from a Low-Resource Source Language: A Use Case from Catalan to Chinese via Spanish. EAMT (1) 2024: 229-245 - [c91]Esther Ploeger, Huiyuan Lai, Rik van Noord, Antonio Toral:
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. EAMT (1) 2024: 286-299 - [i33]Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubesic, Miquel Esplà-Gomis, Gema Ramírez-Sánchez, Antonio Toral:
Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages. CoRR abs/2403.08693 (2024) - [i32]Esther Ploeger, Huiyuan Lai, Rik van Noord, Antonio Toral:
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation. CoRR abs/2408.17308 (2024) - 2023
- [c90]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Multi-Figurative Language Detection. ACL (Findings) 2023: 9254-9267 - [c89]Malina Chichirau, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. EAMT 2023: 217-226 - [c88]Marta Bañón, Malina Chichirau, Miquel Esplà-Gomis, Mikel L. Forcada, Aarón Galiano Jiménez, Taja Kuzman, Nikola Ljubesic, Rik van Noord, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Peter Rupnik, Vit Suchomel, Antonio Toral, Jaume Zaragoza-Bernabeu:
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. EAMT 2023: 505-506 - [i31]Lukas Edman, Antonio Toral, Gertjan van Noord:
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation. CoRR abs/2302.14220 (2023) - [i30]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multidimensional Evaluation for Text Style Transfer Using ChatGPT. CoRR abs/2304.13462 (2023) - [i29]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i28]Malina Chichirau, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios. CoRR abs/2305.19757 (2023) - [i27]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Multi-Figurative Language Detection. CoRR abs/2306.00121 (2023) - [i26]Ana Guerberof Arenas, Antonio Toral:
To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation. CoRR abs/2307.02358 (2023) - 2022
- [c87]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer. ACL (2) 2022: 262-271 - [c86]Tobias van der Werff, Rik van Noord, Antonio Toral:
Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context. EAMT 2022: 161-170 - [c85]Marta Bañón, Miquel Esplà-Gomis, Mikel L. Forcada, Cristian García-Romero, Taja Kuzman, Nikola Ljubesic, Rik van Noord, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Peter Rupnik, Vít Suchomel, Antonio Toral, Tobias van der Werff, Jaume Zaragoza:
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. EAMT 2022: 301-302 - [c84]Ana Guerberof Arenas, Antonio Toral:
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT. EAMT 2022: 355-356 - [c83]Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. EMNLP (Findings) 2022: 981-992 - [c82]Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral:
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. EMNLP 2022: 7795-7816 - [c81]Aleksandra Konovalova, Antonio Toral, Kristiina Taivalkoski-Shilov:
Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. NAACL-HLT (Student Research Workshop) 2022: 123-128 - [i25]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer. CoRR abs/2203.08552 (2022) - [i24]Ana Guerberof Arenas, Antonio Toral:
Creativity in translation: machine translation as a constraint for literary texts. CoRR abs/2204.05655 (2022) - [i23]Huiyuan Lai, Jiali Mao, Antonio Toral, Malvina Nissim:
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer. CoRR abs/2204.07549 (2022) - [i22]Lukas Edman, Antonio Toral, Gertjan van Noord:
The Importance of Context in Very Low Resource Language Modeling. CoRR abs/2205.04810 (2022) - [i21]Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral:
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. CoRR abs/2205.12215 (2022) - [i20]Lukas Edman, Antonio Toral, Gertjan van Noord:
Patching Leaks in the Charformer for Efficient Character-Level Generation. CoRR abs/2205.14086 (2022) - [i19]Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. CoRR abs/2212.01304 (2022) - 2021
- [c80]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer. ACL/IJCNLP (2) 2021: 484-494 - [c79]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Generic resources are what you need: Style transfer tasks without task-specific parallel training data. EMNLP (1) 2021: 4241-4254 - [c78]Lukas Edman, Antonio Toral, Gertjan van Noord:
The Importance of Context in Very Low Resource Language Modeling. ICON 2021: 86-92 - [c77]Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord:
Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language. WMT@EMNLP 2021: 982-988 - [i18]Ana Guerberof Arenas, Antonio Toral:
The Impact of Post-editing and Machine Translation on Creativity and Reading Experience. CoRR abs/2101.06125 (2021) - [i17]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer. CoRR abs/2105.06947 (2021) - [i16]Huiyuan Lai, Antonio Toral, Malvina Nissim:
Generic resources are what you need: Style transfer tasks without task-specific parallel training data. CoRR abs/2109.04543 (2021) - [i15]Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord:
Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language. CoRR abs/2109.12012 (2021) - 2020
- [j18]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. J. Artif. Intell. Res. 67: 653-672 (2020) - [c76]Lukas Edman, Antonio Toral, Gertjan van Noord:
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated Solution. EAMT 2020: 81-90 - [c75]Yuying Ye, Antonio Toral:
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese. EAMT 2020: 125-134 - [c74]Antonio Toral:
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019. EAMT 2020: 185-194 - [c73]Rik van Noord, Antonio Toral, Johan Bos:
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. EMNLP (1) 2020: 4587-4603 - [c72]Christian Roest, Lukas Edman, Gosse Minnema, Kevin Kelly, Jennifer Spenader, Antonio Toral:
Machine Translation for English-Inuktitut with Segmentation, Data Acquisition and Pre-Training. WMT@EMNLP 2020: 274-281 - [c71]Lukas Edman, Antonio Toral, Gertjan van Noord:
Data Selection for Unsupervised Translation of German-Upper Sorbian. WMT@EMNLP 2020: 1099-1103 - [i14]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. CoRR abs/2004.01694 (2020) - [i13]Antonio Toral:
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019. CoRR abs/2005.05738 (2020) - [i12]Yuying Ye, Antonio Toral:
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese. CoRR abs/2006.08297 (2020) - [i11]Rik van Noord, Antonio Toral, Johan Bos:
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. CoRR abs/2011.04308 (2020) - [i10]Antonio Toral, Antoni Oliver, Pau Ribas Ballestín:
Machine Translation of Novels in the Age of Transformer. CoRR abs/2011.14979 (2020)
2010 – 2019
- 2019
- [j17]Sheila Castilho, Federico Gaspari, Joss Moorkens, Maja Popovic, Antonio Toral:
Editors' foreword to the special issue on human factors in neural machine translation. Mach. Transl. 33(1-2): 1-7 (2019) - [c70]Rik van Noord, Antonio Toral, Johan Bos:
Linguistic Information in Neural Semantic Parsing with Multiple Encoders. IWCS (2) 2019: 24-31 - [c69]Antonio Toral:
Post-editese: an Exacerbated Translationese. MTSummit (1) 2019: 273-281 - [c68]Mike Zhang, Antonio Toral:
The Effect of Translationese in Machine Translation Test Sets. WMT (1) 2019: 73-81 - [c67]Antonio Toral, Lukas Edman, Galiya Yeshmagambetova, Jennifer Spenader:
Neural Machine Translation for English-Kazakh with Morphological Segmentation and Synthetic Data. WMT (2) 2019: 386-392 - [i9]Mike Zhang, Antonio Toral:
The Effect of Translationese in Machine Translation Test Sets. CoRR abs/1906.08069 (2019) - [i8]Antonio Toral:
Post-editese: an Exacerbated Translationese. CoRR abs/1907.00900 (2019) - 2018
- [j16]Antonio Toral, Martijn Wieling, Andy Way:
Post-editing Effort of a Novel With Statistical and Neural Machine Translation. Frontiers Digit. Humanit. 5: 9 (2018) - [j15]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) - [j14]Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos:
Exploring Neural Methods for Parsing Discourse Representation Structures. Trans. Assoc. Comput. Linguistics 6: 619-633 (2018) - [c66]Antonio Toral, Martijn Wieling, Sheila Castilho, Joss Moorkens, Andy Way:
Project PiPeNovel: Pilot on Post-editing Novels. EAMT 2018 - [c65]Antonio Toral, Sheila Castilho, Ke Hu, Andy Way:
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. WMT 2018: 113-123 - [i7]Antonio Toral, Andy Way:
What Level of Quality can Neural Machine Translation Attain on Literary Text? CoRR abs/1801.04962 (2018) - [i6]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) - [i5]Antonio Toral, Sheila Castilho, Ke Hu, Andy Way:
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. CoRR abs/1808.10432 (2018) - [i4]Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos:
Exploring Neural Methods for Parsing Discourse Representation Structures. CoRR abs/1810.12579 (2018) - 2017
- [j13]Arefeh Kazemi, Antonio Toral, Andy Way, Amirhassan Monadjemi, Mohammad Ali Nematbakhsh:
Investigating the Relationship between Classification Quality and SMT Performance in Discriminative Reordering Models. Entropy 19(9): 340 (2017) - [j12]Arefeh Kazemi, Antonio Toral, Andy Way, Amirhassan Monadjemi, Mohammad Ali Nematbakhsh:
Syntax- and semantic-based reordering in hierarchical phrase-based statistical machine translation. Expert Syst. Appl. 84: 186-199 (2017) - [j11]Antonio Toral, Miquel Esplà-Gomis, Filip Klubicka, Nikola Ljubesic, Vassilis Papavassiliou, Prokopis Prokopidis, Raphael Rubino, Andy Way:
Crawl and crowd to bring machine translation to under-resourced languages. Lang. Resour. Evaluation 51(4): 1019-1051 (2017) - [j10]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) - [c64]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 - [i3]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) - [i2]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
- [j9]Jorge Ferrández-Tordera, Sergio Ortiz-Rojas, Antonio Toral:
CloudLM: a Cloud-based Language Model for Machine Translation. Prague Bull. Math. Linguistics 105: 51-62 (2016) - [c63]Antonio Toral, Sergio Ortiz-Rojas, Mikel L. Forcada, Nikola Ljubesic, Prokopis Prokopidis:
Abu-MaTran: automatic building of machine translation. EAMT (Projects/Products) 2016 - [c62]Antonio Toral, Raphael Rubino, Gema Ramírez-Sánchez:
Re-assessing the Impact of SMT Techniques with Human Evaluation: a Case Study on English - Croatian. EAMT 2016: 368-375 - [c61]Alberto Poncelas, Andy Way, Antonio Toral:
Extending Feature Decay Algorithms Using Alignment Entropy. FETLT 2016: 170-182 - [c60]Meritxell Fernández Barrera, Vladimir Popescu, Antonio Toral, Federico Gaspari, Khalid Choukri:
Enhancing Cross-border EU E-commerce through Machine Translation: Needed Language Resources, Challenges and Opportunities. LREC 2016 - [c59]Nikola Ljubesic, Miquel Esplà-Gomis, Antonio Toral, Sergio Ortiz-Rojas, Filip Klubicka:
Producing Monolingual and Parallel Web Corpora at the Same Time - SpiderLing and Bitextor's Love Affair. LREC 2016 - [c58]Iñaki San Vicente, Iñaki Alegria, Cristina España-Bonet, Pablo Gamallo, Hugo Gonçalo Oliveira, Eva Martínez Garcia, Antonio Toral, Arkaitz Zubiaga, Nora Aranberri:
TweetMT: A Parallel Microblog Corpus. LREC 2016 - [c57]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 - [c56]Arefeh Kazemi, Antonio Toral, Andy Way:
Using Wordnet to Improve Reordering in Hierarchical Phrase-Based Statistical Machine Translation. GWC 2016: 155-161 - 2015
- [j8]Antonio Toral, Pavel Pecina, Longyue Wang, Josef van Genabith:
Linguistically-augmented perplexity-based data selection for language models. Comput. Speech Lang. 32(1): 11-26 (2015) - [j7]Pavel Pecina, Antonio Toral, Vassilis Papavassiliou, Prokopis Prokopidis, Ales Tamchyna, Andy Way, Josef van Genabith:
Domain adaptation of statistical machine translation with domain-focused web crawling. Lang. Resour. Evaluation 49(1): 147-193 (2015) - [j6]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) - [c55]Antonio Toral, Andy Way:
Translating Literary Text between Related Languages using SMT. CLfL@NAACL-HLT 2015: 123-132 - [c54]Arefeh Kazemi, Antonio Toral, Andy Way, Amirhassan Monadjemi, Mohammad Ali Nematbakhsh:
Dependency-based Reordering Model for Constituent Pairs in Hierarchical SMT. EAMT 2015 - [c53]Antonio Toral, Flammie A. Pirinen, Andy Way, Gema Ramírez-Sánchez, Sergio Ortiz-Rojas, Raphael Rubino, Miquel Esplà-Gomis, Mikel L. Forcada, Vassilis Papavassiliou, Prokopis Prokopidis, Nikola Ljubesic:
Abu-MaTran: Automatic building of Machine Translation. EAMT 2015 - [c52]Iñaki Alegria, Nora Aranberri, Cristina España-Bonet, Pablo Gamallo, Hugo Gonçalo Oliveira, Eva Martínez Garcia, Iñaki San Vicente, Antonio Toral, Arkaitz Zubiaga:
Overview of TweetMT: A Shared Task on Machine Translation of Tweets at SEPLN 2015. TweetMT@SEPLN 2015: 8-19 - [c51]Antonio Toral, Xiaofeng Wu, Flammie A. Pirinen, Zhengwei Qiu, Ergun Biçici, Jinhua Du:
Dublin City University at the TweetMT 2015 Shared Task. TweetMT@SEPLN 2015: 33-39 - [c50]Raphaël Rubino, Flammie A. Pirinen, Miquel Esplà-Gomis, Nikola Ljubesic, Sergio Ortiz-Rojas, Vassilis Papavassiliou, Prokopis Prokopidis, Antonio Toral:
Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling. WMT@EMNLP 2015: 184-191 - [e1]Iñaki Alegria, Nora Aranberri, Cristina España-Bonet, Pablo Gamallo, Eva Martínez Garcia, Hugo Gonçalo Oliveira, Iñaki San Vicente, Antonio Toral, Arkaitz Zubiaga:
Proceedings of the Tweet Translation Workshop 2015 co-located with 31st Conference of the Spanish Society for Natural Language Processing (SEPLN 2015), Alicante, Spain, September 15th, 2015. CEUR Workshop Proceedings 1445, CEUR-WS.org 2015 [contents] - 2014
- [j5]Mohammed Attia, Pavel Pecina, Antonio Toral, Josef van Genabith:
A corpus-based finite-state morphological toolkit for contemporary arabic. J. Log. Comput. 24(2): 455-472 (2014) - [j4]Antonio Toral, Guillermo Latour, Stanislav Gurevich, Mikel L. Forcada, Gema Ramírez-Sánchez:
Establishing a Linguistic Olympiad in Spain, Year 1. Proces. del Leng. Natural 53: 171-174 (2014) - [c49]Federico Gaspari, Antonio Toral, Sudip Kumar Naskar, Declan Groves, Andy Way:
Perception vs. reality: measuring machine translation post-editing productivity. WPTP@ATMA 2014: 60-72 - [c48]Nicoletta Calzolari, Monica Monachini, Valeria Quochi, Claudia Soria, Antonio Toral:
Lexicons, Terminologies, Ontologies: Reflections from Experiences in Resource Construction. Language, Culture, Computation (3) 2014: 103-121 - [c47]Aswarth Abhilash Dara, Josef van Genabith, Qun Liu, John Judge, Antonio Toral:
Active Learning for Post-Editing Based Incrementally Retrained MT. EACL 2014: 185-189 - [c46]Antonio Toral, Raphael Rubino, Miquel Esplà-Gomis, Flammie A. Pirinen, Andy Way, Gema Ramírez-Sánchez:
Extrinsic evaluation of web-crawlers in machine translation: a study on Croatian-English for the tourism domain. EAMT 2014: 221-224 - [c45]Nikola Ljubesic, Antonio Toral:
caWaC - A web corpus of Catalan and its application to language modeling and machine translation. LREC 2014: 1728-1732 - [c44]Raphaël Rubino, Antonio Toral, Nikola Ljubesic, Gema Ramírez-Sánchez:
Quality Estimation for Synthetic Parallel Data Generation. LREC 2014: 1843-1849 - [c43]Antonio Toral:
TLAXCALA: a multilingual corpus of independent news. LREC 2014: 3689-3692 - [c42]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 - 2013
- [c41]Renu Balyan, Sudip Kumar Naskar, Antonio Toral, Niladri Chatterjee:
A Diagnostic Evaluation Approach for English to Hindi MT Using Linguistic Checkpoints and Error Rates. CICLing (2) 2013: 285-296 - [c40]Antonio Toral:
Hybrid Selection of Language Model Training Data Using Linguistic Information and Perplexity. HyTra@ACL 2013: 8-12 - [c39]Núria Bel, Marc Poch, Antonio Toral:
MosesCore: Moses Open Source Evaluation and Support Co-ordination for OutReach and Exploitation PANACEA: Platform for Automatic, Normalised Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies. MTSummit (European projects) 2013 - [c38]Núria Bel, Marc Poch, Antonio Toral:
PANACEA: Platform for Automatic, Normalised Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies. MTSummit (European projects) 2013 - [c37]Sudip Kumar Naskar, Antonio Toral, Federico Gaspari, Declan Groves:
Meta-Evaluation of a Diagnostic Quality Metric for Machine Translation. MTSummit 2013 - [c36]Antonio Toral, Sudip Kumar Naskar, Joris Vreeke, Federico Gaspari, Declan Groves:
A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena. HLT-NAACL 2013: 20-23 - [c35]Raphaël Rubino, Antonio Toral, Santiago Cortes Vaíllo, Jun Xie, Xiaofeng Wu, Stephen Doherty, Qun Liu:
The CNGL-DCU-Prompsit Translation Systems for WMT13. WMT@ACL 2013: 213-218 - [i1]Núria Bel, Vassilis Papavassiliou, Prokopis Prokopidis, Antonio Toral, Victoria Arranz:
Mining and Exploiting Domain-Specific Corpora in the PANACEA Platform. CoRR abs/1303.1932 (2013) - 2012
- [j3]Antonio Toral, Sergio Ferrández, Monica Monachini, Rafael Muñoz:
Web 2.0, Language Resources and standards to automatically build a multilingual Named Entity Lexicon. Lang. Resour. Evaluation 46(3): 383-419 (2012) - [j2]Antonio Toral, Sudip Kumar Naskar, Federico Gaspari, Declan Groves:
DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena. Prague Bull. Math. Linguistics 98: 121-132 (2012) - [c34]Tsuyoshi Okita, Antonio Toral, Josef van Genabith:
Topic Modeling-based Domain Adaptation for System Combination. AML@COLING 2012: 45-54 - [c33]Pavel Pecina, Antonio Toral, Josef van Genabith:
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation. COLING 2012: 2209-2224 - [c32]Marc Poch, Antonio Toral, Núria Bel:
Language Resources Factory: case study on the acquisition of Translation Memories. EACL 2012: 1-5 - [c31]Antonio Toral, Marc Poch, Pavel Pecina, Gregor Thurmair:
Efficiency-based evaluation of aligners for industrial applications. EAMT 2012: 57-60 - [c30]Pavel Pecina, Antonio Toral, Vassilis Papavassiliou, Prokopis Prokopidis, Josef van Genabith:
Domain Adaptation of Statistical Machine Translation using Web-Crawled Resources: A Case Study. EAMT 2012: 145-152 - [c29]Antonio Toral:
Pivot-based Machine Translation between Statistical and Black Box systems. EAMT 2012: 321-328 - [c28]Marc Poch, Antonio Toral, Olivier Hamon, Valeria Quochi, Núria Bel:
Towards a User-Friendly Platform for Building Language Resources based on Web Services. LREC 2012: 1156-1163 - 2011
- [c27]Pavel Pecina, Antonio Toral, Andy Way, Vassilis Papavassiliou, Prokopis Prokopidis, Maria Giagkou:
Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation. EAMT 2011 - [c26]Antonio Toral, Federico Gaspari, Sudip Kumar Naskar, Andy Way:
A Comparative Evaluation of Research vs. Online MT Systems. EAMT 2011 - [c25]Antonio Toral, Pavel Pecina, Marc Poch, Andy Way:
Towards a User-Friendly Webservice Architecture for Statistical Machine Translation in the PANACEA project. EAMT 2011 - [c24]Mohammed Attia, Pavel Pecina, Antonio Toral, Lamia Tounsi, Josef van Genabith:
An Open-Source Finite State Morphological Transducer for Modern Standard Arabic. FSMNLP 2011: 125-133 - [c23]Sudip Kumar Naskar, Antonio Toral, Federico Gaspari, Andy Way:
A Framework for Diagnostic Evaluation of MT Based on Linguistic Checkpoints. MTSummit 2011 - [c22]Mohammed Attia, Pavel Pecina, Antonio Toral, Lamia Tounsi, Josef van Genabith:
A Lexical Database for Modern Standard Arabic Interoperable with a Finite State Morphological Transducer. SFCM 2011: 98-118 - 2010
- [c21]Mohammed Attia, Antonio Toral, Lamia Tounsi, Monica Monachini, Josef van Genabith:
An Automatically Built Named Entity Lexicon for Arabic. LREC 2010 - [c20]Mohammed Attia, Antonio Toral, Lamia Tounsi, Pavel Pecina, Josef van Genabith:
Automatic Extraction of Arabic Multiword Expressions. MWE@COLING 2010: 19-27
2000 – 2009
- 2009
- [j1]Sergio Ferrández, Antonio Toral, Óscar Ferrández, Antonio Ferrández, Rafael Muñoz:
Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering. Inf. Sci. 179(20): 3473-3488 (2009) - [c19]Eneko Agirre, Oier Lopez de Lacalle, Christiane Fellbaum, Andrea Marchetti, Antonio Toral, Piek Vossen:
SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain. SEW@NAACL-HLT 2009: 123-128 - [c18]Antonio Toral, Óscar Ferrández, Eneko Agirre, Rafael Muñoz:
A Study on Linking Wikipedia Categories to Wordnet Synsets using Text Similarity. RANLP 2009: 449-454 - 2008
- [c17]Riccardo Del Gratta, Nilda Ruimy, Antonio Toral:
Simple-Clips ongoing research: more information with less data by implementing inheritance. LREC 2008 - [c16]Bernardo Magnini, Amedeo Cappelli, Fabio Tamburini, Cristina Bosco, Alessandro Mazzei, Vincenzo Lombardo, Francesca Bertagna, Nicoletta Calzolari, Antonio Toral, Valentina Bartalesi Lenzi, Rachele Sprugnoli, Manuela Speranza:
Evaluation of Natural Language Tools for Italian: EVALITA 2007. LREC 2008 - [c15]Nilda Ruimy, Antonio Toral:
More Semantic Links in the SIMPLE-CLIPS Database. LREC 2008 - [c14]Antonio Toral, Rafael Muñoz, Monica Monachini:
Named Entity WordNet. LREC 2008 - 2007
- [c13]Sergio Ferrández, Antonio Toral, Óscar Ferrández, Antonio Ferrández, Rafael Muñoz:
Applying Wikipedia's Multilingual Knowledge to Cross-Lingual Question Answering. NLDB 2007: 352-363 - 2006
- [c12]Antonio Toral Ruiz, Georgiana Puscasu, Lorenza Moreno-Monteagudo, Rubén Izquierdo-Beviá, Estela Saquete Boró:
University of Alicante at WiQA 2006. CLEF 2006: 554-560 - [c11]Antonio Toral Ruiz, Georgiana Puscasu, Lorenza Moreno-Monteagudo, Rubén Izquierdo-Beviá, Estela Saquete Boró:
University of Alicante at WiQA 2006. CLEF (Working Notes) 2006 - [c10]Antonio Toral, Óscar Ferrández, Elisa Noguera, Zornitsa Kozareva, Andrés Montoyo, Rafael Muñoz:
GIR with Geographic Query Expansion. CLEF 2006: 889-892 - [c9]Antonio Toral, Óscar Ferrández, Elisa Noguera, Zornitsa Kozareva, Andrés Montoyo, Rafael Muñoz:
Geographic IR Helped by Structured Geospatial Knowledge Resources. CLEF (Working Notes) 2006 - [c8]Manuel García Vega, Miguel Angel García Cumbreras, Luis Alfonso Ureña López, José M. Perea-Ortega, Francisco Javier Ariza-López, Óscar Ferrández, Antonio Toral, Zornitsa Kozareva, Elisa Noguera, Andrés Montoyo, Rafael Muñoz, Davide Buscaldi, Paolo Rosso:
R2D2 at GeoCLEF 2006: A Combined Approach. CLEF 2006: 918-925 - [c7]Manuel García Vega, Miguel Ángel García Cumbreras, Luis Alfonso Ureña López, José M. Perea-Ortega, Francisco Javier Ariza-López, Óscar Ferrández, Antonio Toral, Zornitsa Kozareva, Elisa Noguera, Andrés Montoyo, Rafael Muñoz, Davide Buscaldi, Paolo Rosso:
R2D2 at GeoCLEF 2006: a Mixed Approach. CLEF (Working Notes) 2006 - [c6]Óscar Ferrández, Antonio Toral, Rafael Muñoz:
Fine Tuning Features and Post-processing Rules to Improve Named Entity Recognition. NLDB 2006: 176-185 - 2005
- [c5]Óscar Ferrández, Zornitsa Kozareva, Antonio Toral, Elisa Noguera, Andrés Montoyo, Rafael Muñoz, Fernando Llopis:
University of Alicante at GeoCLEF 2005. CLEF 2005: 924-927 - [c4]Óscar Ferrández, Zornitsa Kozareva, Antonio Toral, Elisa Noguera, Andrés Montoyo, Rafael Muñoz, Fernando Llopis:
The University of Alicante at GeoCLEF 2005. CLEF (Working Notes) 2005 - [c3]Antonio Toral, Elisa Noguera, Fernando Llopis, Rafael Muñoz:
Improving Question Answering Using Named Entity Recognition. NLDB 2005: 181-191 - [c2]Elisa Noguera, Antonio Toral, Fernando Llopis, Rafael Muñoz:
Reducing Question Answering Input Data Using Named Entity Recognition. TSD 2005: 428-434 - 2004
- [c1]Fernando Llopis, Héctor García Puigcerver, Mariano Cano, Antonio Toral, Héctor Espí:
IR-n System, a Passage Retrieval Architecture. TSD 2004: 57-64
Coauthor Index
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