@inproceedings{mellebeek-etal-2005-improving,
title = "Improving Online Machine Translation Systems",
author = "Mellebeek, Bart and
Khasin, Anna and
Owczarzak, Karolina and
Van Genabith, Josef and
Way, Andy",
booktitle = "Proceedings of Machine Translation Summit X: Papers",
month = sep # " 13-15",
year = "2005",
address = "Phuket, Thailand",
url = "https://aclanthology.org/2005.mtsummit-papers.38",
pages = "290--297",
abstract = "In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and modular approach to boost the translation performance of existing, wide-coverage, freely available machine translation systems, based on reliable and fast automatic decomposition of the translation input and corresponding composition of translation output. Despite showing some initial promise, our method did not improve on the baseline Logomedia1 and Systran2 MT systems. In this paper, we improve on the algorithm presented in (Mellebeek et al., 2005), and on the same test data, show increased scores for a range of automatic evaluation metrics. Our algorithm now outperforms Logomedia, obtains similar results to SDL3 and falls tantalisingly short of the performance achieved by Systran.",
}
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%0 Conference Proceedings
%T Improving Online Machine Translation Systems
%A Mellebeek, Bart
%A Khasin, Anna
%A Owczarzak, Karolina
%A Van Genabith, Josef
%A Way, Andy
%S Proceedings of Machine Translation Summit X: Papers
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F mellebeek-etal-2005-improving
%X In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and modular approach to boost the translation performance of existing, wide-coverage, freely available machine translation systems, based on reliable and fast automatic decomposition of the translation input and corresponding composition of translation output. Despite showing some initial promise, our method did not improve on the baseline Logomedia1 and Systran2 MT systems. In this paper, we improve on the algorithm presented in (Mellebeek et al., 2005), and on the same test data, show increased scores for a range of automatic evaluation metrics. Our algorithm now outperforms Logomedia, obtains similar results to SDL3 and falls tantalisingly short of the performance achieved by Systran.
%U https://aclanthology.org/2005.mtsummit-papers.38
%P 290-297
Markdown (Informal)
[Improving Online Machine Translation Systems](https://aclanthology.org/2005.mtsummit-papers.38) (Mellebeek et al., MTSummit 2005)
ACL
- Bart Mellebeek, Anna Khasin, Karolina Owczarzak, Josef Van Genabith, and Andy Way. 2005. Improving Online Machine Translation Systems. In Proceedings of Machine Translation Summit X: Papers, pages 290–297, Phuket, Thailand.