Translation Paraphrases in Phrase-Based Machine Translation. - Francisco Guzmán; Leonardo Garrido (CICLing, 2008)

Reassessment of the Role of Phrase Extraction in PBSMT. - Francisco Guzmán; Qin Gao; Stephan Vogel (MTSummit, 2009)

EMDC: A Semi-supervised Approach for Word Alignment. - Qin Gao; Francisco Guzmán; Stephan Vogel (COLING, 2010)

Understanding the Performance of Statistical MT Systems: A Linear Regression Framework. - Francisco Guzmán; Stephan Vogel (COLING, 2012)

Optimizing for Sentence-Level BLEU+1 Yields Short Translations. - Preslav Nakov; Francisco Guzmán; Stephan Vogel (COLING, 2012)

QCRI at WMT12: Experiments in Spanish-English and German-English Machine Translation of News Text. - Francisco Guzmán; Preslav Nakov; Ahmed Thabet; Stephan Vogel (WMT@NAACL-HLT, 2012)

A Tale about PRO and Monsters. - Preslav Nakov; Francisco Guzmán; Stephan Vogel (ACL (2), 2013)

The AMARA corpus: building resources for translating the web's educational content. - Francisco Guzmán; Hassan Sajjad 001; Stephan Vogel; Ahmed Abdelali (IWSLT, 2013)

QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation. - Hassan Sajjad 001; Francisco Guzmán; Preslav Nakov; Ahmed Abdelali; Kenton Murray; Fahad Al-Obaidli; Stephan Vogel (IWSLT (Evaluation Campaign), 2013)

Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples. - Preslav Nakov; Fahad Al-Obaidli; Francisco Guzmán; Stephan Vogel (RANLP, 2013)

Understanding Power Electronics and Electrical Machines in Multidisciplinary Wind Energy Conversion System Courses. - Mario J. Durán; Federico Barrero; Ana Pozo-Ruz; Francisco Guzmán; José Fernández; Hugo Guzman (IEEE Trans. Educ., 2013)

Using Discourse Structure Improves Machine Translation Evaluation. - Francisco Guzmán; Shafiq R. Joty; Lluís Màrquez; Preslav Nakov (ACL (1), 2014)

Learning to Differentiate Better from Worse Translations. - Francisco Guzmán; Shafiq R. Joty; Lluís Màrquez; Alessandro Moschitti; Preslav Nakov; Massimo Nicosia (EMNLP, 2014)

Amara: A Sustainable, Global Solution for Accessibility, Powered by Communities of Volunteers. - Dean Jansen; Aleli Alcala; Francisco Guzmán (HCI (7), 2014)

The AMARA Corpus: Building Parallel Language Resources for the Educational Domain. - Ahmed Abdelali; Francisco Guzmán; Hassan Sajjad 001; Stephan Vogel (LREC, 2014)

DiscoTK: Using Discourse Structure for Machine Translation Evaluation. - Shafiq R. Joty; Francisco Guzmán; Lluís Màrquez; Preslav Nakov (WMT@ACL, 2014)

Pairwise Neural Machine Translation Evaluation. - Francisco Guzmán; Shafiq R. Joty; Lluís Màrquez; Preslav Nakov (ACL (1), 2015)

Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. - Francisco Guzmán; Preslav Nakov; Stephan Vogel (CoNLL, 2015)

QAT2 - the QCRI advanced transcription and translation system. - Ahmed Abdelali; Ahmed M. Ali 002; Francisco Guzmán; Felix Stahlberg; Stephan Vogel; Yifan Zhang (INTERSPEECH, 2015)

How do Humans Evaluate Machine Translation. - Francisco Guzmán; Ahmed Abdelali; Irina P. Temnikova; Hassan Sajjad 001; Stephan Vogel (WMT@EMNLP, 2015)

Metadomotic optimization using genetic algorithms. - Salvador Merino; Javier Martínez 001; Francisco Guzmán (Appl. Math. Comput., 2015)

Machine Translation Evaluation Meets Community Question Answering. - Francisco Guzmán; Lluís Màrquez; Preslav Nakov (ACL (2), 2016)

An Empirical Study: Post-editing Effort for English to Arabic Hybrid Machine Translation. - Hassan Sajjad 001; Francisco Guzmán; Stephan Vogel (AMTA (2), 2016)

Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings. - Francisco Guzmán; Houda Bouamor; Ramy Baly; Nizar Habash (COLING, 2016)

It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. - Preslav Nakov; Lluís Màrquez; Francisco Guzmán (EMNLP, 2016)

iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking. - Ahmed Abdelali; Nadir Durrani; Francisco Guzmán (HLT-NAACL Demos, 2016)

Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement. - Hassan Sajjad 001; Francisco Guzmán; Nadir Durrani; Ahmed Abdelali; Houda Bouamor; Irina P. Temnikova; Stephan Vogel (HLT-NAACL, 2016)

MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? - Francisco Guzmán; Preslav Nakov; Lluís Màrquez (SemEval@NAACL-HLT, 2016)

Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015. - Hassan Sajjad 001; Nadir Durrani; Francisco Guzmán; Preslav Nakov; Ahmed Abdelali; Stephan Vogel; Wael Salloum; Ahmed El Kholy; Nizar Habash (CoRR, 2016)

QT2S: A System for Monitoring Road Traffic Via Fine Grounding of Tweets. - Noora Al Emadi; Sofiane Abbar; Javier Borge-Holthoefer; Francisco Guzmán; Fabrizio Sebastiani 001 (ICWSM, 2017)

Discourse Structure in Machine Translation Evaluation. - Shafiq R. Joty; Francisco Guzmán; Lluís Màrquez; Preslav Nakov (Comput. Linguistics, 2017)

Machine translation evaluation with neural networks. - Francisco Guzmán; Shafiq R. Joty; Lluís Màrquez; Preslav Nakov (Comput. Speech Lang., 2017)

Optimization of energy distribution in solar panel array configurations by graphs and Minkowski's paths. - Salvador Merino; Francisco José Sánchez; Mariano Sidrach de Cardona; Francisco Guzmán; Rafael Guzmán; Javier Martínez 001; Pedro Juan Sotorrio-Ruiz (Appl. Math. Comput., 2018)

Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. - Shaomei Wu; Lindsay Reynolds; Xian Li 003; Francisco Guzmán (CHI, 2019)

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Francisco Guzmán; Peng-Jen Chen; Myle Ott; Juan Miguel Pino; Guillaume Lample; Philipp Koehn; Vishrav Chaudhary; Marc'Aurelio Ranzato (EMNLP/IJCNLP (1), 2019)

Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings. - Vishrav Chaudhary; Yuqing Tang; Francisco Guzmán; Holger Schwenk; Philipp Koehn (WMT (3), 2019)

Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions. - Philipp Koehn; Francisco Guzmán; Vishrav Chaudhary; Juan Miguel Pino (WMT (3), 2019)

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Francisco Guzmán; Peng-Jen Chen; Myle Ott; Juan Miguel Pino; Guillaume Lample; Philipp Koehn; Vishrav Chaudhary; Marc'Aurelio Ranzato (CoRR, 2019)

A Massive Collection of Cross-Lingual Web-Document Pairs. - Ahmed El-Kishky; Vishrav Chaudhary; Francisco Guzmán; Philipp Koehn (CoRR, 2019)

Unsupervised Cross-lingual Representation Learning at Scale. - Alexis Conneau; Kartikay Khandelwal; Naman Goyal 001; Vishrav Chaudhary; Guillaume Wenzek; Francisco Guzmán; Edouard Grave; Myle Ott; Luke Zettlemoyer; Veselin Stoyanov (ACL, 2020)

Multi-Hypothesis Machine Translation Evaluation. - Marina Fomicheva; Lucia Specia; Francisco Guzmán (ACL, 2020)

Are we Estimating or Guesstimating Translation Quality? - Shuo Sun; Francisco Guzmán; Lucia Specia (ACL, 2020)

TICO-19: the Translation Initiative for COvid-19. - Antonios Anastasopoulos; Alessandro Cattelan; Zi-Yi Dou; Marcello Federico; Christian Federmann; Dmitriy Genzel; Francisco Guzmán; Junjie Hu 001; Macduff Hughes; Philipp Koehn; Rosie Lazar; William Lewis; et al. (NLP4COVID@EMNLP, 2020)

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs. - Ahmed El-Kishky; Vishrav Chaudhary; Francisco Guzmán; Philipp Koehn (EMNLP (1), 2020)

Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance. - Ahmed El-Kishky; Francisco Guzmán (AACL/IJCNLP, 2020)

An Exploratory Study on Multilingual Quality Estimation. - Shuo Sun; Marina Fomicheva; Frédéric Blain; Vishrav Chaudhary; Ahmed El-Kishky; Adithya Renduchintala; Francisco Guzmán; Lucia Specia (AACL/IJCNLP, 2020)

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. - Guillaume Wenzek; Marie-Anne Lachaux; Alexis Conneau; Vishrav Chaudhary; Francisco Guzmán; Armand Joulin; Edouard Grave (LREC, 2020)

BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task. - Marina Fomicheva; Shuo Sun; Lisa Yankovskaya; Frédéric Blain; Vishrav Chaudhary; Mark Fishel; Francisco Guzmán; Lucia Specia (WMT@EMNLP, 2020)

Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. - Philipp Koehn; Vishrav Chaudhary; Ahmed El-Kishky; Naman Goyal 001; Peng-Jen Chen; Francisco Guzmán (WMT@EMNLP, 2020)

Findings of the WMT 2020 Shared Task on Quality Estimation. - Lucia Specia; Frédéric Blain; Marina Fomicheva; Erick Rocha Fonseca; Vishrav Chaudhary; Francisco Guzmán; André F. T. Martins (WMT@EMNLP, 2020)

Findings of the WMT 2020 Shared Task on Machine Translation Robustness. - Lucia Specia; Zhenhao Li 003; Juan Miguel Pino; Vishrav Chaudhary; Francisco Guzmán; Graham Neubig; Nadir Durrani; Yonatan Belinkov; Philipp Koehn; Hassan Sajjad 001; Paul Michel; Xian Li 003 (WMT@EMNLP, 2020)

Targeted Poisoning Attacks on Black-Box Neural Machine Translation. - Chang Xu; Jun Wang 126; Yuqing Tang; Francisco Guzmán; Benjamin I. P. Rubinstein; Trevor Cohn (CoRR, 2020)

Unsupervised Quality Estimation for Neural Machine Translation. - Marina Fomicheva; Shuo Sun; Lisa Yankovskaya; Frédéric Blain; Francisco Guzmán; Mark Fishel; Nikolaos Aletras; Vishrav Chaudhary; Lucia Specia (Trans. Assoc. Comput. Linguistics, 2020)

Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. - Wei-Jen Ko; Ahmed El-Kishky; Adithya Renduchintala; Vishrav Chaudhary; Naman Goyal 001; Francisco Guzmán; Pascale Fung; Philipp Koehn; Mona T. Diab (ACL/IJCNLP (1), 2021)

Improving Zero-Shot Translation by Disentangling Positional Information. - Danni Liu; Jan Niehues; James Cross 003; Francisco Guzmán; Xian Li 003 (ACL/IJCNLP (1), 2021)

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. - Jun Wang 126; Chang Xu; Francisco Guzmán; Ahmed El-Kishky; Benjamin I. P. Rubinstein; Trevor Cohn (ACL/IJCNLP (Findings), 2021)

Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. - Jun Wang 126; Chang Xu; Francisco Guzmán; Ahmed El-Kishky; Yuqing Tang; Benjamin I. P. Rubinstein; Trevor Cohn (ACL/IJCNLP (Findings), 2021)

Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Chunting Zhou; Graham Neubig; Jiatao Gu; Mona T. Diab; Francisco Guzmán; Luke Zettlemoyer; Marjan Ghazvininejad (ACL/IJCNLP (Findings), 2021)

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. - Holger Schwenk; Vishrav Chaudhary; Shuo Sun; Hongyu Gong; Francisco Guzmán (EACL, 2021)

Quality Estimation without Human-labeled Data. - Yi-Lin Tuan; Ahmed El-Kishky; Adithya Renduchintala; Vishrav Chaudhary; Francisco Guzmán; Lucia Specia (EACL, 2021)

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment. - Ahmed El-Kishky; Adithya Renduchintala; James Cross 003; Francisco Guzmán; Philipp Koehn (EMNLP (1), 2021)

Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. - Shuo Sun; Ahmed El-Kishky; Vishrav Chaudhary; James Cross 003; Lucia Specia; Francisco Guzmán (EMNLP (1), 2021)

Mitigating Data Poisoning in Text Classification with Differential Privacy. - Chang Xu; Jun Wang 126; Francisco Guzmán; Benjamin I. P. Rubinstein; Trevor Cohn (EMNLP (Findings), 2021)

Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track). - Kevin Duh; Francisco Guzmán (MTSummit (1), 2021)

Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation. - Guillaume Wenzek; Vishrav Chaudhary; Angela Fan; Sahir Gomez; Naman Goyal 001; Somya Jain; Douwe Kiela; Tristan Thrush; Francisco Guzmán (WMT@EMNLP, 2021)

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. - Chang Xu; Jun Wang 126; Yuqing Tang; Francisco Guzmán; Benjamin I. P. Rubinstein; Trevor Cohn (WWW, 2021)

LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models. - Hongyu Gong; Vishrav Chaudhary; Yuqing Tang; Francisco Guzmán (CoRR, 2021)

OCR Improves Machine Translation for Low-Resource Languages. - Oana Ignat; Jean Maillard; Vishrav Chaudhary; Francisco Guzmán (ACL (Findings), 2022)

Alternative Input Signals Ease Transfer in Multilingual Machine Translation. - Simeng Sun; Angela Fan; James Cross 003; Vishrav Chaudhary; Chau Tran; Philipp Koehn; Francisco Guzmán (ACL (1), 2022)

Consistent Human Evaluation of Machine Translation across Language Pairs. - Daniel Licht; Cynthia Gao; Janice Lam; Francisco Guzmán; Mona T. Diab; Philipp Koehn (AMTA, 2022)

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? - Shiyue Zhang 001; Vishrav Chaudhary; Naman Goyal 001; James Cross 003; Guillaume Wenzek; Mohit Bansal; Francisco Guzmán (AMTA, 2022)

A Conscious, Smart Site Model for a Solar-Water Energy System. - Salvador Merino; Francisco Guzmán; Javier Martínez 001; Rafael Guzmán; Juan de Dios Lara Fernández; Jürgen Döllner (ICCSA (Workshops 1), 2022)

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. - Marina Fomicheva; Shuo Sun; Erick R. Fonseca; Chrysoula Zerva; Frédéric Blain; Vishrav Chaudhary; Francisco Guzmán; Nina Lopatina; Lucia Specia; André F. T. Martins (LREC, 2022)

Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. - 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; et al. (WMT, 2022)

No Language Left Behind: Scaling Human-Centered Machine Translation. - Marta R. Costa-jussà; James Cross 003; Onur Çelebi; Maha Elbayad; Kenneth Heafield; Kevin Heffernan; Elahe Kalbassi; Janice Lam; Daniel Licht; Jean Maillard; Anna Y. Sun; Skyler Wang; et al. (CoRR, 2022)

Smart Sensorization Using Propositional Dynamic Logic. - Salvador Merino; Alfredo Burrieza; Francisco Guzmán; Javier Martínez 001 (Sensors, 2022)

The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. - Naman Goyal 001; Cynthia Gao; Vishrav Chaudhary; Peng-Jen Chen; Guillaume Wenzek; Da Ju; Sanjana Krishnan; Marc'Aurelio Ranzato; Francisco Guzmán; Angela Fan (Trans. Assoc. Comput. Linguistics, 2022)

Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation. - Jean Maillard; Cynthia Gao; Elahe Kalbassi; Kaushik Ram Sadagopan; Vedanuj Goswami; Philipp Koehn; Angela Fan; Francisco Guzmán (ACL (1), 2023)

Towards Concepts for Climate and Energy-Oriented Digital Twins for Buildings. - Jürgen Döllner; Salvador Merino; Francisco Guzmán; Javier Martínez 001; Juan de Dios Lara Fernández; Rafael Guzmán (Web3D, 2023)

Scalable method for administration of resource technologies under stochastic procedures. - Salvador Merino; Javier Martínez 001; Francisco Guzmán; Francisco José Sánchez; Rafael Guzmán; Mariano Sidrach de Cardona; Juan de Dios Lara Fernández (Appl. Math. Comput., 2023)

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. - 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; et al. (CoRR, 2023)

Seamless: Multilingual Expressive and Streaming Speech Translation. - 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; et al. (CoRR, 2023)