multilinguality:multilingual language:fr language:en language:de language:it language:pt language:es region:us
---
language:
- fr
- en
- de
- it
- pt
- es
viewer: false
multilinguality:
- multilingual
---

> [!NOTE]
> Dataset origin: http://lrec2014.lrec-conf.org/en/shared-lrs/current-list-shared-lrs/


## Description

 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.
    
## Citation

```
@InProceedings{BARREIRO14.16,
  author = {Anabela Barreiro and Johanna Monti and Brigitte Orliac and Susanne Preuß and Kutz Arrieta and Wang Ling and Fernando Batista and Isabel Trancoso},
  title = {Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 } 
```