NLPExplorer

David Vilar

Number of Papers:- 49

Number of Citations:- 105

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

Findings

ACL

IWSLT

WMT

NAACL

EACL

LREC

EAMT

SSST

EMNLP

IJCNLP

MTSummit

AMTA

Co-Authors:-

Similar Authors:-

Francisco Zamora Martinez

Jorge Antonio Leoni De Leon

Josep Angel Mas

Mara Chinea Rios1

Josu Landa

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL

Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data WMT

Mara Finkelstein | David Vilar | Markus Freitag |

There’s No Data like Better Data: Using QE Metrics for MT Data Filtering WMT

Prompting PaLM for Translation: Assessing Strategies and Performance ACL

A Natural Diet: Towards Improving Naturalness of Machine Translation Output ACL Findings

Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits EMNLP Findings

Julia Kreutzer | David Vilar | Artem Sokolov |

Controlling Machine Translation for Multiple Attributes with Additive Interventions EMNLP

Andrea Schioppa | David Vilar | Artem Sokolov | Katja Filippova |

A Statistical Extension of Byte-Pair Encoding ACL IJCNLP IWSLT

David Vilar | Marcello Federico |

Sockeye 2: A Toolkit for Neural Machine Translation EAMT

Felix Hieber | Tobias Domhan | Michael Denkowski | David Vilar |

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 AMTA

Automatic error classification with multiple error labels MTSummit WS

Maja Popovic | David Vilar |

Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation NAACL

Matt Post | David Vilar |

Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models NAACL

David Vilar |

The Sockeye Neural Machine Translation Toolkit at AMTA 2018 AMTA WS

Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models EACL

Stephan Peitz | David Vilar | Hermann Ney |

The taraXÜ corpus of human-annotated machine translations LREC

A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation SSST WS

Matthias Huck | David Vilar | Markus Freitag | Hermann Ney |

What can we learn about the selection mechanism for post-editing? MTSummit

Learning from Human Judgments of Machine Translation Output MTSummit

A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output MTSummit

Involving Language Professionals in the Evaluation of Machine Translation LREC

DFKI’s SMT System for WMT 2012 WMT WS

David Vilar |

Towards the Integration of MT into a LSP Translation Workflow EAMT

David Vilar | Michael Schneider | Aljoscha Burchardt | Thomas Wedde |

Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features WMT WS

Eleftherios Avramidis | Maja Popovic | David Vilar | Aljoscha Burchardt |

Evaluation without references: IBM1 scores as evaluation metrics WMT WS

Maja Popović | David Vilar | Eleftherios Avramidis | Aljoscha Burchardt |

DFKI Hybrid Machine Translation System for WMT 2011 - On the Integration of SMT and RBMT WMT WS

Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation WS

Matthias Huck | David Vilar | Daniel Stein | Hermann Ney |

Advancements in Arabic-to-English Hierarchical Machine Translation EAMT

Matthias Huck | David Vilar | Daniel Stein | Hermann Ney |

DFKI’s SC and MT submissions to IWSLT 2011 IWSLT

David Vilar | Eleftherios Avramidis | Maja Popović | Sabine Hunsicker |

Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models WS

David Vilar | Daniel Stein | Matthias Huck | Hermann Ney |

A Cocktail of Deep Syntactic Features for Hierarchical Machine Translation AMTA

Daniel Stein | Stephan Peitz | David Vilar | Hermann Ney |

If I only had a parser: poor man’s syntax for hierarchical machine translation IWSLT

David Vilar | Daniel Stein | Stephan Peitz | Hermann Ney |

The RWTH Aachen machine translation system for IWSLT 2010 IWSLT

A combination of hierarchical systems with forced alignments from phrase-based systems IWSLT

Carmen Heger | Joern Wuebker | David Vilar | Hermann Ney |

The RWTH Machine Translation System for WMT 2009 WMT WS

On LM Heuristics for the Cube Growing Algorithm EAMT

David Vilar | Hermann Ney |

The RWTH machine translation system for IWSLT 2008. IWSLT

Analysing soft syntax features and heuristics for hierarchical phrase based machine translation. IWSLT

David Vilar | Daniel Stein | Hermann Ney |

Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems NAACL

Can We Translate Letters? WMT WS

David Vilar | Jan-Thorsten Peter | Hermann Ney |

Human Evaluation of Machine Translation Through Binary System Comparisons WMT WS

David Vilar | Gregor Leusch | Hermann Ney | Rafael E. Banchs |

The RWTH machine translation system for IWSLT 2007 IWSLT

Error Analysis of Statistical Machine Translation Output LREC

David Vilar | Jia Xu | Luis Fernando D’Haro | Hermann Ney |

AER: do we need to “improve” our alignments? IWSLT

David Vilar | Maja Popovic | Hermann Ney |

Augmenting a Small Parallel Text with Morpho-Syntactic Language WS

Novel Reordering Approaches in Phrase-Based Statistical Machine Translation WS

Preprocessing and Normalization for Automatic Evaluation of Machine Translation WS

Gregor Leusch | Nicola Ueffing | David Vilar | Hermann Ney |

Comparison of generation strategies for interactive machine translation EAMT

Statistical Machine Translation of European Parliamentary Speeches MTSummit