NLPExplorer

Francisco Guzman

Number of Papers:- 59

Number of Citations:- 115

First ACL Paper:- 2009

Latest ACL Paper:- 2023

Venues:-

MTSummit

Findings

AMTA

ACL

RANLP

IWSLT

NAACL

WMT

EACL

LREC

AACL

TACL

EMNLP

CoNLL

COLING

IJCNLP

*SEMEVAL

Co-Authors:-

Adithya Renduchintala

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Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation ACL

OCR Improves Machine Translation for Low-Resource Languages ACL Findings

Oana Ignat | Jean Maillard | Vishrav Chaudhary | Francisco Guzmán |

Alternative Input Signals Ease Transfer in Multilingual Machine Translation ACL

The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation TACL

Consistent Human Evaluation of Machine Translation across Language Pairs AMTA

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) AMTA

Kevin Duh | Francisco Guzmán |

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset LREC

Findings of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages WMT

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia EACL

Quality Estimation without Human-labeled Data EACL

Proceedings of Machine Translation Summit XVIII: Research Track MTSummit

Kevin Duh | Francisco Guzmán |

Improving Zero-Shot Translation by Disentangling Positional Information ACL IJCNLP

Detecting Hallucinated Content in Conditional Neural Sequence Generation Findings

Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning Findings

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment EMNLP

Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP Findings

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation Findings

Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation EMNLP WMT

Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications EMNLP

Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ACL IJCNLP

Are we Estimating or Guesstimating Translation Quality? ACL

Shuo Sun | Francisco Guzmán | Lucia Specia |

Unsupervised Cross-lingual Representation Learning at Scale ACL

Multi-Hypothesis Machine Translation Evaluation ACL

Marina Fomicheva | Lucia Specia | Francisco Guzmán |

Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover’s Distance AACL

Ahmed El-Kishky | Francisco Guzmán |

An Exploratory Study on Multilingual Quality Estimation AACL

Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP WMT

Unsupervised Quality Estimation for Neural Machine Translation TACL

BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task EMNLP WMT

Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment EMNLP WMT

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs EMNLP

Ahmed El-Kishky | Vishrav Chaudhary | Francisco Guzmán | Philipp Koehn |

Findings of the WMT 2020 Shared Task on Quality Estimation EMNLP WMT

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data LREC

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English EMNLP

Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions ACL WMT WS

Philipp Koehn | Francisco Guzmán | Vishrav Chaudhary | Juan Pino |

Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings ACL WMT WS

Discourse Structure in Machine Translation Evaluation CL

Shafiq Joty | Francisco Guzmán | Lluís Màrquez | Preslav Nakov |

Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings COLING

Francisco Guzmán | Houda Bouamor | Ramy Baly | Nizar Habash |

It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering EMNLP

Preslav Nakov | Lluís Màrquez | Francisco Guzmán |

Eyes Don’t Lie: Predicting Machine Translation Quality Using Eye Movement NAACL

iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking NAACL

Ahmed Abdelali | Nadir Durrani | Francisco Guzmán |

Machine Translation Evaluation Meets Community Question Answering ACL

Francisco Guzmán | Lluís Màrquez | Preslav Nakov |

MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? *SEMEVAL

Francisco Guzmán | Preslav Nakov | Lluís Màrquez |

Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length CoNLL

Francisco Guzmán | Preslav Nakov | Stephan Vogel |

Pairwise Neural Machine Translation Evaluation ACL IJCNLP

Francisco Guzmán | Shafiq Joty | Lluís Màrquez | Preslav Nakov |

How do Humans Evaluate Machine Translation WMT WS

Learning to Differentiate Better from Worse Translations EMNLP

The AMARA Corpus: Building Parallel Language Resources for the Educational Domain LREC

Ahmed Abdelali | Francisco Guzman | Hassan Sajjad | Stephan Vogel |

Using Discourse Structure Improves Machine Translation Evaluation ACL

Francisco Guzmán | Shafiq Joty | Lluís Màrquez | Preslav Nakov |

DiscoTK: Using Discourse Structure for Machine Translation Evaluation WMT WS

Shafiq Joty | Francisco Guzmán | Lluís Màrquez | Preslav Nakov |

A Tale about PRO and Monsters ACL

Preslav Nakov | Francisco Guzmán | Stephan Vogel |

Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples RANLP

Preslav Nakov | Fahad Al Obaidli | Francisco Guzmán | Stephan Vogel |

The AMARA corpus: building resources for translating the web’s educational content IWSLT

Francisco Guzman | Hassan Sajjad | Stephan Vogel | Ahmed Abdelali |

QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation IWSLT

Understanding the Performance of Statistical MT Systems: A Linear Regression Framework COLING

Francisco Guzman | Stephan Vogel |

Optimizing for Sentence-Level BLEU+1 Yields Short Translations COLING

Preslav Nakov | Francisco Guzman | Stephan Vogel |

QCRI at WMT12: Experiments in Spanish-English and German-English Machine Translation of News Text WMT WS

Francisco Guzmán | Preslav Nakov | Ahmed Thabet | Stephan Vogel |

EMDC: A Semi-supervised Approach for Word Alignment COLING

Qin Gao | Francisco Guzman | Stephan Vogel |

Reassessment of the Role of Phrase Extraction in PBSMT MTSummit

Francisco Guzman | Qin Gao | Stephan Vogel |