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Francisco Guzmán
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Journal Articles
- 2023
- [j9]Salvador Merino
, Javier Martínez, Francisco Guzmán, Francisco José Sánchez
, Rafael Guzmán, Mariano Sidrach de Cardona, Juan de Dios Lara Fernández:
Scalable method for administration of resource technologies under stochastic procedures. Appl. Math. Comput. 440: 127652 (2023) - 2022
- [j8]Salvador Merino
, Alfredo Burrieza, Francisco Guzmán
, Javier Martínez:
Smart Sensorization Using Propositional Dynamic Logic. Sensors 22(10): 3899 (2022) - [j7]Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan:
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. Trans. Assoc. Comput. Linguistics 10: 522-538 (2022) - 2020
- [j6]Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 539-555 (2020) - 2018
- [j5]Salvador Merino
, Francisco José Sánchez, Mariano Sidrach de Cardona
, Francisco Guzmán, Rafael Guzmán, Javier Martínez, Pedro Juan Sotorrio-Ruiz:
Optimization of energy distribution in solar panel array configurations by graphs and Minkowski's paths. Appl. Math. Comput. 319: 48-58 (2018) - 2017
- [j4]Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov
:
Discourse Structure in Machine Translation Evaluation. Comput. Linguistics 43(4) (2017) - [j3]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
:
Machine translation evaluation with neural networks. Comput. Speech Lang. 45: 180-200 (2017) - 2015
- [j2]Salvador Merino
, Javier Martínez, Francisco Guzmán:
Metadomotic optimization using genetic algorithms. Appl. Math. Comput. 267: 170-178 (2015) - 2013
- [j1]Mario J. Durán
, Federico Barrero
, Ana Pozo-Ruz
, Francisco Guzmán, José Fernández, Hugo Guzman:
Understanding Power Electronics and Electrical Machines in Multidisciplinary Wind Energy Conversion System Courses. IEEE Trans. Educ. 56(2): 174-182 (2013)
Conference and Workshop Papers
- 2023
- [c65]Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, Francisco Guzmán:
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation. ACL (1) 2023: 2740-2756 - [c64]Jürgen Döllner
, Salvador Merino
, Francisco Guzmán
, Javier Martínez
, Juan de Dios Lara Fernández
, Rafael Guzmán
:
Towards Concepts for Climate and Energy-Oriented Digital Twins for Buildings. Web3D 2023: 31:1-31:9 - 2022
- [c63]Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán:
OCR Improves Machine Translation for Low-Resource Languages. ACL (Findings) 2022: 1164-1174 - [c62]Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzmán:
Alternative Input Signals Ease Transfer in Multilingual Machine Translation. ACL (1) 2022: 5291-5305 - [c61]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA 2022: 97-116 - [c60]Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA 2022: 309-321 - [c59]Salvador Merino
, Francisco Guzmán
, Javier Martínez
, Rafael Guzmán
, Juan de Dios Lara Fernández
, Jürgen Döllner:
A Conscious, Smart Site Model for a Solar-Water Energy System. ICCSA (Workshops 1) 2022: 606-623 - [c58]Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Chrysoula Zerva, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins:
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. LREC 2022: 4963-4974 - [c57]David Ifeoluwa Adelani, Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Akshita Bhagia, Marta R. Costa-jussà, Jesse Dodge, Fahim Faisal, Christian Federmann, Natalia Fedorova, Francisco Guzmán, Sergey Koshelev, Jean Maillard, Vukosi Marivate, Jonathan Mbuya, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk, Guillaume Wenzek:
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. WMT 2022: 773-800 - 2021
- [c56]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. ACL/IJCNLP (1) 2021: 802-812 - [c55]Danni Liu, Jan Niehues
, James Cross, Francisco Guzmán, Xian Li:
Improving Zero-Shot Translation by Disentangling Positional Information. ACL/IJCNLP (1) 2021: 1259-1273 - [c54]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c53]Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn:
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. ACL/IJCNLP (Findings) 2021: 1463-1473 - [c52]Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn:
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. ACL/IJCNLP (Findings) 2021: 4711-4717 - [c51]Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. EACL 2021: 619-625 - [c50]Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, Francisco Guzmán:
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. EACL 2021: 1351-1361 - [c49]Chang Xu, Jun Wang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Mitigating Data Poisoning in Text Classification with Differential Privacy. EMNLP (Findings) 2021: 4348-4356 - [c48]Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Lucia Specia, Francisco Guzmán:
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. EMNLP (1) 2021: 5865-5875 - [c47]Ahmed El-Kishky, Adithya Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn:
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. EMNLP (1) 2021: 10424-10430 - [c46]Kevin Duh, Francisco Guzmán:
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). MTSummit (1) 2021 - [c45]Guillaume Wenzek, Vishrav Chaudhary, Angela Fan, Sahir Gomez, Naman Goyal, Somya Jain, Douwe Kiela, Tristan Thrush, Francisco Guzmán:
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation. WMT@EMNLP 2021: 89-99 - [c44]Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. WWW 2021: 3638-3650 - 2020
- [c43]Marina Fomicheva, Lucia Specia, Francisco Guzmán:
Multi-Hypothesis Machine Translation Evaluation. ACL 2020: 1218-1232 - [c42]Shuo Sun, Francisco Guzmán, Lucia Specia:
Are we Estimating or Guesstimating Translation Quality? ACL 2020: 6262-6267 - [c41]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c40]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 2020 - [c39]Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn:
CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs. EMNLP (1) 2020: 5960-5969 - [c38]Shuo Sun, Marina Fomicheva, Frédéric Blain, Vishrav Chaudhary, Ahmed El-Kishky, Adithya Renduchintala, Francisco Guzmán, Lucia Specia:
An Exploratory Study on Multilingual Quality Estimation. AACL/IJCNLP 2020: 366-377 - [c37]Ahmed El-Kishky, Francisco Guzmán:
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. AACL/IJCNLP 2020: 616-625 - [c36]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC 2020: 4003-4012 - [c35]Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li:
Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP 2020: 76-91 - [c34]Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, Naman Goyal, Peng-Jen Chen, Francisco Guzmán:
Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. WMT@EMNLP 2020: 726-742 - [c33]Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Rocha Fonseca, Vishrav Chaudhary, Francisco Guzmán, André F. T. Martins:
Findings of the WMT 2020 Shared Task on Quality Estimation. WMT@EMNLP 2020: 743-764 - [c32]Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Vishrav Chaudhary, Mark Fishel, Francisco Guzmán, Lucia Specia:
BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task. WMT@EMNLP 2020: 1010-1017 - 2019
- [c31]Shaomei Wu, Lindsay Reynolds, Xian Li, Francisco Guzmán:
Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. CHI 2019: 516 - [c30]Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato:
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. EMNLP/IJCNLP (1) 2019: 6097-6110 - [c29]Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, Juan Miguel Pino:
Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions. WMT (3) 2019: 54-72 - [c28]Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn:
Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings. WMT (3) 2019: 261-266 - 2017
- [c27]Noora Al Emadi, Sofiane Abbar, Javier Borge-Holthoefer, Francisco Guzmán, Fabrizio Sebastiani:
QT2S: A System for Monitoring Road Traffic Via Fine Grounding of Tweets. ICWSM 2017: 456-459 - 2016
- [c26]Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation Meets Community Question Answering. ACL (2) 2016 - [c25]Hassan Sajjad, Francisco Guzmán, Stephan Vogel:
An Empirical Study: Post-editing Effort for English to Arabic Hybrid Machine Translation. AMTA (2) 2016: 92-113 - [c24]Francisco Guzmán, Houda Bouamor, Ramy Baly, Nizar Habash:
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings. COLING 2016: 1398-1408 - [c23]Preslav Nakov, Lluís Màrquez, Francisco Guzmán:
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. EMNLP 2016: 1586-1597 - [c22]Ahmed Abdelali, Nadir Durrani, Francisco Guzmán:
iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking. HLT-NAACL Demos 2016: 17-21 - [c21]Hassan Sajjad
, Francisco Guzmán, Nadir Durrani, Ahmed Abdelali, Houda Bouamor, Irina P. Temnikova, Stephan Vogel:
Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement. HLT-NAACL 2016: 1082-1088 - [c20]Francisco Guzmán, Preslav Nakov, Lluís Màrquez:
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? SemEval@NAACL-HLT 2016: 887-895 - 2015
- [c19]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. ACL (1) 2015: 805-814 - [c18]Francisco Guzmán, Preslav Nakov, Stephan Vogel:
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. CoNLL 2015: 62-72 - [c17]Ahmed Abdelali, Ahmed M. Ali, Francisco Guzmán, Felix Stahlberg, Stephan Vogel, Yifan Zhang:
QAT2 - the QCRI advanced transcription and translation system. INTERSPEECH 2015: 726-727 - [c16]Francisco Guzmán, Ahmed Abdelali, Irina P. Temnikova, Hassan Sajjad, Stephan Vogel:
How do Humans Evaluate Machine Translation. WMT@EMNLP 2015: 457-466 - 2014
- [c15]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Using Discourse Structure Improves Machine Translation Evaluation. ACL (1) 2014: 687-698 - [c14]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov, Massimo Nicosia:
Learning to Differentiate Better from Worse Translations. EMNLP 2014: 214-220 - [c13]Dean Jansen, Aleli Alcala, Francisco Guzmán:
Amara: A Sustainable, Global Solution for Accessibility, Powered by Communities of Volunteers. HCI (7) 2014: 401-411 - [c12]Ahmed Abdelali, Francisco Guzmán, Hassan Sajjad, Stephan Vogel:
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain. LREC 2014: 1856-1862 - [c11]Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. WMT@ACL 2014: 402-408 - 2013
- [c10]Preslav Nakov, Francisco Guzmán, Stephan Vogel:
A Tale about PRO and Monsters. ACL (2) 2013: 12-17 - [c9]Francisco Guzmán, Hassan Sajjad, Stephan Vogel, Ahmed Abdelali:
The AMARA corpus: building resources for translating the web's educational content. IWSLT 2013 - [c8]Hassan Sajjad, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Kenton Murray, Fahad Al-Obaidli, Stephan Vogel:
QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation. IWSLT (Evaluation Campaign) 2013 - [c7]Preslav Nakov, Fahad Al-Obaidli, Francisco Guzmán, Stephan Vogel:
Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples. RANLP 2013: 504-510 - 2012
- [c6]Francisco Guzmán, Stephan Vogel:
Understanding the Performance of Statistical MT Systems: A Linear Regression Framework. COLING 2012: 1029-1044 - [c5]Preslav Nakov, Francisco Guzmán, Stephan Vogel:
Optimizing for Sentence-Level BLEU+1 Yields Short Translations. COLING 2012: 1979-1994 - [c4]Francisco Guzmán, Preslav Nakov, Ahmed Thabet, Stephan Vogel:
QCRI at WMT12: Experiments in Spanish-English and German-English Machine Translation of News Text. WMT@NAACL-HLT 2012: 298-303 - 2010
- [c3]Qin Gao, Francisco Guzmán, Stephan Vogel:
EMDC: A Semi-supervised Approach for Word Alignment. COLING 2010: 349-357 - 2009
- [c2]Francisco Guzmán, Qin Gao, Stephan Vogel:
Reassessment of the Role of Phrase Extraction in PBSMT. MTSummit 2009 - 2008
- [c1]Francisco Guzmán, Leonardo Garrido
:
Translation Paraphrases in Phrase-Based Machine Translation. CICLing 2008: 388-398
Editorship
- 2022
- [e2]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022. Association for Machine Translation in the Americas 2022 [contents] - 2021
- [e1]Kevin Duh, Francisco Guzmán, Stephen Richardson:
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, MTSummit 2021 Virtual, August 16-20, 2021. Association for Machine Translation in the Americas 2021 [contents]
Informal and Other Publications
- 2023
- [i34]Seamless Communication, Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, Christopher Klaiber, Pengwei Li, Daniel Licht, Jean Maillard, Alice Rakotoarison, Kaushik Ram Sadagopan, Guillaume Wenzek, Ethan Ye, Bapi Akula, Peng-Jen Chen, Naji El Hachem, Brian Ellis, Gabriel Mejia Gonzalez, Justin Haaheim, Prangthip Hansanti, Russ Howes, Bernie Huang, Min-Jae Hwang, Hirofumi Inaguma, Somya Jain, Elahe Kalbassi, Amanda Kallet, Ilia Kulikov, Janice Lam, Daniel Li, Xutai Ma, Ruslan Mavlyutov, Benjamin Peloquin, Mohamed Ramadan, Abinesh Ramakrishnan, Anna Y. Sun, Kevin Tran, Tuan Tran, Igor Tufanov, Vish Vogeti, Carleigh Wood, Yilin Yang, Bokai Yu, Pierre Andrews, Can Balioglu, Marta R. Costa-jussà, Onur Celebi, Maha Elbayad, Cynthia Gao, Francisco Guzmán, Justine Kao, Ann Lee, Alexandre Mourachko, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang:
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. CoRR abs/2308.11596 (2023) - [i33]Loïc Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia Gonzalez, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-jussà, Maha Elbayad, Hongyu Gong, Francisco Guzmán, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alexandre Mourachko, Benjamin Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Y. Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson:
Seamless: Multilingual Expressive and Streaming Speech Translation. CoRR abs/2312.05187 (2023) - 2022
- [i32]Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán:
OCR Improves Machine Translation for Low-Resource Languages. CoRR abs/2202.13274 (2022) - [i31]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? CoRR abs/2204.14268 (2022) - [i30]Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn:
Consistent Human Evaluation of Machine Translation across Language Pairs. CoRR abs/2205.08533 (2022) - [i29]Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Y. Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loïc Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang:
No Language Left Behind: Scaling Human-Centered Machine Translation. CoRR abs/2207.04672 (2022) - 2021
- [i28]Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. CoRR abs/2102.04020 (2021) - [i27]Ahmed El-Kishky, Adi Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn:
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. CoRR abs/2104.08597 (2021) - [i26]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. CoRR abs/2105.15071 (2021) - [i25]Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan:
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. CoRR abs/2106.03193 (2021) - [i24]Hongyu Gong, Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán:
LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models. CoRR abs/2106.03379 (2021) - [i23]Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn:
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. CoRR abs/2107.05243 (2021) - [i22]Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn:
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. CoRR abs/2107.08357 (2021) - [i21]Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia:
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. CoRR abs/2109.08627 (2021) - [i20]Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzmán:
Alternative Input Signals Ease Transfer in Multilingual Machine Translation. CoRR abs/2110.07804 (2021) - 2020
- [i19]Ahmed El-Kishky, Francisco Guzmán:
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. CoRR abs/2002.00761 (2020) - [i18]Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain
, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. CoRR abs/2005.10608 (2020) - [i17]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for Covid-19. CoRR abs/2007.01788 (2020) - [i16]Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Frédéric Blain
, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins:
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. CoRR abs/2010.04480 (2020) - [i15]Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. CoRR abs/2011.00675 (2020) - [i14]Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li:
Improving Zero-Shot Translation by Disentangling Positional Information. CoRR abs/2012.15127 (2020) - 2019
- [i13]Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato:
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. CoRR abs/1902.01382 (2019) - [i12]Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn:
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings. CoRR abs/1906.08885 (2019) - [i11]Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, Francisco Guzmán:
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. CoRR abs/1907.05791 (2019) - [i10]Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR abs/1911.00359 (2019) - [i9]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - [i8]Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn:
A Massive Collection of Cross-Lingual Web-Document Pairs. CoRR abs/1911.06154 (2019) - [i7]Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. CoRR abs/1911.12547 (2019) - [i6]Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation Meets Community Question Answering. CoRR abs/1912.02998 (2019) - [i5]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. CoRR abs/1912.03135 (2019) - 2017
- [i4]Noora Al Emadi, Sofiane Abbar, Javier Borge-Holthoefer, Francisco Guzmán, Fabrizio Sebastiani:
QT2S: A System for Monitoring Road Traffic via Fine Grounding of Tweets. CoRR abs/1703.04280 (2017) - [i3]Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Discourse Structure in Machine Translation Evaluation. CoRR abs/1710.01504 (2017) - [i2]Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation with Neural Networks. CoRR abs/1710.02095 (2017) - 2016
- [i1]Hassan Sajjad, Nadir Durrani, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Stephan Vogel, Wael Salloum, Ahmed El Kholy, Nizar Habash:
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015. CoRR abs/1606.05759 (2016)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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