@inproceedings{barreiro-etal-2014-linguistic,
title = "Linguistic Evaluation of Support Verb Constructions by {O}pen{L}ogos and {G}oogle {T}ranslate",
author = "Barreiro, Anabela and
Monti, Johanna and
Orliac, Brigitte and
Preu{\ss}, Susanne and
Arrieta, Kutz and
Ling, Wang and
Batista, Fernando and
Trancoso, Isabel",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L14-1176/",
pages = "35--40",
abstract = "This paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system (Google Translate) for five languages: French, German, Italian, Portuguese and Spanish. We classify support verb constructions by means of their syntactic structure and semantic behavior and present a qualitative analysis of their translation errors. The study aims to verify how machine translation (MT) systems translate fine-grained linguistic phenomena, and how well-equipped they are to produce high-quality translation. Another goal of the linguistically motivated quality analysis of SVC raw output is to reinforce the need for better system hybridization, which leverages the strengths of RBMT to the benefit of SMT, especially in improving the translation of multiword units. Taking multiword units into account, we propose an effective method to achieve MT hybridization based on the integration of semantico-syntactic knowledge into SMT."
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%0 Conference Proceedings
%T Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate
%A Barreiro, Anabela
%A Monti, Johanna
%A Orliac, Brigitte
%A Preuß, Susanne
%A Arrieta, Kutz
%A Ling, Wang
%A Batista, Fernando
%A Trancoso, Isabel
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F barreiro-etal-2014-linguistic
%X This paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system (Google Translate) for five languages: French, German, Italian, Portuguese and Spanish. We classify support verb constructions by means of their syntactic structure and semantic behavior and present a qualitative analysis of their translation errors. The study aims to verify how machine translation (MT) systems translate fine-grained linguistic phenomena, and how well-equipped they are to produce high-quality translation. Another goal of the linguistically motivated quality analysis of SVC raw output is to reinforce the need for better system hybridization, which leverages the strengths of RBMT to the benefit of SMT, especially in improving the translation of multiword units. Taking multiword units into account, we propose an effective method to achieve MT hybridization based on the integration of semantico-syntactic knowledge into SMT.
%U https://aclanthology.org/L14-1176/
%P 35-40
Markdown (Informal)
[Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate](https://aclanthology.org/L14-1176/) (Barreiro et al., LREC 2014)
ACL
- Anabela Barreiro, Johanna Monti, Brigitte Orliac, Susanne Preuß, Kutz Arrieta, Wang Ling, Fernando Batista, and Isabel Trancoso. 2014. Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 35–40, Reykjavik, Iceland. European Language Resources Association (ELRA).