NLPExplorer

Lieve Macken

Number of Papers:- 20

Number of Citations:- 8

First ACL Paper:- 2007

Latest ACL Paper:- 2020

Venues:-

EAMT

MTSummit

LREC

WMT

COLING

EACL

Co-Authors:-

Similar Authors:-

Assessing the Comprehensibility of Automatic Translations (ArisToCAT) EAMT

Lieve Macken | Margot Fonteyne | Arda Tezcan | Joke Daems |

Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level LREC

Margot Fonteyne | Arda Tezcan | Lieve Macken |

Modelling word translation entropy and syntactic equivalence with machine learning WS

Bram Vanroy | Orphée De Clercq | Lieve Macken |

When a ‘sport’ is a person and other issues for NMT of novels WS

Arda Tezcan | Joke Daems | Lieve Macken |

A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch LREC

Laura Van Brussel | Arda Tezcan | Lieve Macken |

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation WMT WS

Arda Tezcan | Véronique Hoste | Lieve Macken |

Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying EAMT WS

Arda Tezcan | Veronique Hoste | Lieve Macken |

UGENT-LT3 SCATE System for Machine Translation Quality Estimation WMT WS

Arda Tezcan | Veronique Hoste | Bart Desmet | Lieve Macken |

Smart Computer Aided Translation Environment - SCATE EAMT WS

Smart Computer Aided Translation Environment EAMT

The impact of machine translation error types on post-editing effort indicators MTSummit

Joke Daems | Sonia Vandepitte | Robert Hartsuker | Lieve Macken |

On the origin of errors: A fine-grained analysis of MT and PE errors and their relationship LREC

Joke Daems | Lieve Macken | Sonia Vandepitte |

Quality as the sum of its parts: a two-step approach for the identification of translation problems and translation quality assessment for HT and MT+PE MTSummit

Joke Daems | Lieve Macken | Sonia Vandepitte |

From keystrokes to annotated process data: Enriching the output of Inputlog with linguistic information LREC

Lieve Macken | Veronique Hoste | Mariëlle Leijten | Luuk Van Waes |

From Character to Word Level: Enabling the Linguistic Analyses of Inputlog Process Data WS

An Annotation Scheme and Gold Standard for Dutch-English Word Alignment LREC

Lieve Macken |

Language-Independent Bilingual Terminology Extraction from a Multilingual Parallel Corpus EACL

Els Lefever | Lieve Macken | Veronique Hoste |

Linguistically-Based Sub-Sentential Alignment for Terminology Extraction from a Bilingual Automotive Corpus COLING

Lieve Macken | Els Lefever | Veronique Hoste |

Sentence Alignment in DPC: Maximizing Precision, Minimizing Human Effort LREC

Julia Trushkina | Lieve Macken | Hans Paulussen |

Dutch parallel corpus: MT corpus and translator’s aid MTSummit

Lieve Macken | Julia Trushkina | Lidia Rura |