Francisco Guzmán

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 92

Top Venues

Publications

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)
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)
Seamless Communication, Loïc Barrault, Yu-An Chung, Mariano Cora 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 (2023)
Loïc Barrault, Yu-An Chung, Mariano Cora 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 Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson
Seamless: Multilingual Expressive and Streaming Speech Translation. CoRR (2023)
Salvador Merino, Javier Martínez, Francisco Guzmán, Francisco José Sánchez, Rafael Guzmán, Mariano Sidrach de Cardona, Juan Lara
Scalable method for administration of resource technologies under stochastic procedures. Appl. Math. Comput. 440 (2023)
Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán
OCR Improves Machine Translation for Low-Resource Languages. ACL (Findings) (2022)
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 (2022)
Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna 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 (2022)
Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán
OCR Improves Machine Translation for Low-Resource Languages. CoRR (2022)
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)
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)
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)
Salvador Merino, Francisco Guzmán, Javier Martínez, Rafael Guzmán, Juan Lara, Jürgen Döllner
A Conscious, Smart Site Model for a Solar-Water Energy System. ICCSA (Workshops 1) (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. AMTA (2022)
Daniel Licht, Cynthia Gao, Janice Lam, Francisco Guzmán, Mona T. Diab, Philipp Koehn
Consistent Human Evaluation of Machine Translation across Language Pairs. CoRR (2022)
Salvador Merino, Alfredo Burrieza, Francisco Guzmán, Javier Martínez
Smart Sensorization Using Propositional Dynamic Logic. Sensors 22 (10) (2022)
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)
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 (2022)
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) (2021)
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)
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 (2021)
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)
Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, Francisco Guzmán
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. EACL (2021)
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)
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)
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 (2021)
Simeng Sun, Angela Fan, James Cross, Vishrav Chaudhary, Chau Tran, Philipp Koehn, Francisco Guzmán
Alternative Input Signals Ease Transfer in Multilingual Machine Translation. CoRR (2021)
Hongyu Gong, Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán
LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models. CoRR (2021)
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)
Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia
Quality Estimation without Human-labeled Data. CoRR (2021)
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)
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 (2021)
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)
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 (2021)
Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li
Improving Zero-Shot Translation by Disentangling Positional Information. ACL/IJCNLP (1) (2021)
Kevin Duh, Francisco Guzmán
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). MTSummit (1) (2021)
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 (2021)
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 (2021)
Chang Xu, Jun Wang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn
Mitigating Data Poisoning in Text Classification with Differential Privacy. EMNLP (Findings) (2021)
Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia
Quality Estimation without Human-labeled Data. EACL (2021)
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 (2020)
Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. CoRR (2020)
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 (2020)
Ahmed El-Kishky, Francisco Guzmán
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. AACL/IJCNLP (2020)
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 (2020)
Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn
CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs. EMNLP (1) (2020)
Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li
Improving Zero-Shot Translation by Disentangling Positional Information. CoRR (2020)
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)
Marina Fomicheva, Lucia Specia, Francisco Guzmán
Multi-Hypothesis Machine Translation Evaluation. ACL (2020)
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)
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)
Shuo Sun, Francisco Guzmán, Lucia Specia
Are we Estimating or Guesstimating Translation Quality? ACL (2020)
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)
Ahmed El-Kishky, Francisco Guzmán
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. CoRR (2020)
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)
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)
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)
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)
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 (2020)
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 (2019)
Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, Francisco Guzmán
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. CoRR (2019)
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)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
Pairwise Neural Machine Translation Evaluation. CoRR (2019)
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)
Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. CoRR (2019)
Shaomei Wu, Lindsay Reynolds, Xian Li, Francisco Guzmán
Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. CHI (2019)
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 (2019)
Francisco Guzmán, Lluís Màrquez, Preslav Nakov
Machine Translation Evaluation Meets Community Question Answering. CoRR (2019)
Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn
Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings. WMT (3) (2019)
Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn
A Massive Collection of Cross-Lingual Web-Document Pairs. CoRR (2019)
Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings. CoRR (2019)
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 (2019)
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 (2018)
Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov
Discourse Structure in Machine Translation Evaluation. CoRR (2017)
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 (2017)
Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov
Discourse Structure in Machine Translation Evaluation. Comput. Linguistics 43 (4) (2017)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
Machine translation evaluation with neural networks. Comput. Speech Lang. 45 (2017)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
Machine Translation Evaluation with Neural Networks. CoRR (2017)
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)
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)
Francisco Guzmán, Lluís Màrquez, Preslav Nakov
Machine Translation Evaluation Meets Community Question Answering. ACL (2) (2016)
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)
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 (2016)
Preslav Nakov, Lluís Màrquez, Francisco Guzmán
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. EMNLP (2016)
Hassan Sajjad, Francisco Guzmán, Stephan Vogel
An Empirical Study: Post-editing Effort for English to Arabic Hybrid Machine Translation. AMTA (2) (2016)
Ahmed Abdelali, Nadir Durrani, Francisco Guzmán
iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking. HLT-NAACL Demos (2016)
Francisco Guzmán, Houda Bouamor, Ramy Baly, Nizar Habash
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings. COLING (2016)
Francisco Guzmán, Preslav Nakov, Stephan Vogel
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. CoNLL (2015)
Salvador Merino, Javier Martínez, Francisco Guzmán
Metadomotic optimization using genetic algorithms. Appl. Math. Comput. 267 (2015)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
Pairwise Neural Machine Translation Evaluation. ACL (1) (2015)
Francisco Guzmán, Ahmed Abdelali, Irina P. Temnikova, Hassan Sajjad, Stephan Vogel
How do Humans Evaluate Machine Translation. WMT@EMNLP (2015)
Ahmed Abdelali, Ahmed M. Ali, Francisco Guzmán, Felix Stahlberg, Stephan Vogel, Yifan Zhang
- the QCRI advanced transcription and translation system. INTERSPEECH (2015)
Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. WMT@ACL (2014)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov, Massimo Nicosia
Learning to Differentiate Better from Worse Translations. EMNLP (2014)
Dean Jansen, Aleli Alcala, Francisco Guzmán
Amara: A Sustainable, Global Solution for Accessibility, Powered by Communities of Volunteers. HCI (7) (2014)
Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov
Using Discourse Structure Improves Machine Translation Evaluation. ACL (1) (2014)
Ahmed Abdelali, Francisco Guzmán, Hassan Sajjad, Stephan Vogel
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain. LREC (2014)
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)
Preslav Nakov, Fahad Al-Obaidli, Francisco Guzmán, Stephan Vogel
Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples. RANLP (2013)
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) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francisco Guzmán