VERTa: Linguistic features in MT evaluation

Elisabet Comelles, Jordi Atserias, Victoria Arranz, Irene Castellón


Abstract
In the last decades, a wide range of automatic metrics that use linguistic knowledge has been developed. Some of them are based on lexical information, such as METEOR; others rely on the use of syntax, either using constituent or dependency analysis; and others use semantic information, such as Named Entities and semantic roles. All these metrics work at a specific linguistic level, but some researchers have tried to combine linguistic information, either by combining several metrics following a machine-learning approach or focusing on the combination of a wide variety of metrics in a simple and straightforward way. However, little research has been conducted on how to combine linguistic features from a linguistic point of view. In this paper we present VERTa, a metric which aims at using and combining a wide variety of linguistic features at lexical, morphological, syntactic and semantic level. We provide a description of the metric and report some preliminary experiments which will help us to discuss the use and combination of certain linguistic features in order to improve the metric performance
Anthology ID:
L12-1447
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3944–3950
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/763_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Elisabet Comelles, Jordi Atserias, Victoria Arranz, and Irene Castellón. 2012. VERTa: Linguistic features in MT evaluation. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3944–3950, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
VERTa: Linguistic features in MT evaluation (Comelles et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/763_Paper.pdf