Ghent University Academic Bibliography

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Your filters: cql: parent exact "LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION"

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Recognising suicidal messages in Dutch social media

Bart Desmet (UGent) and Veronique Hoste (UGent)

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.830-835
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Two sides of the same coin : assessing translation quality in two steps through adequacy and acceptability error analysis

Joke Daems (UGent) , Lieve Macken (UGent) and Sonia Vandepitte (UGent)

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.2-2
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On the origin of errors: a fine-grained analysis of MT and PE errors and their relationship

Joke Daems (UGent) , Lieve Macken (UGent) and Sonia Vandepitte (UGent)

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.62-66
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Speech recognition web services for Dutch

Joris Pelemans, Kris Demuynck (UGent) , Hugo Van hamme and Patrick Wambacq

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.3041-3044
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Evaluation of automatic hypernym extraction from technical corpora in English and Dutch

Els Lefever (UGent) , Marjan Van de Kauter (UGent) and Veronique Hoste (UGent)

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.490-497
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Towards shared datasets for normalization research

Orphée De Clercq (UGent) , Sarah Schulz (UGent) , Bart Desmet (UGent) and Veronique Hoste (UGent)

(2014) LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION. p.1218-1223

Academic Bibliography

Recognising suicidal messages in Dutch social media

Two sides of the same coin : assessing translation quality in two steps through adequacy and acceptability error analysis

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

Speech recognition web services for Dutch

Evaluation of automatic hypernym extraction from technical corpora in English and Dutch

Towards shared datasets for normalization research

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