@inproceedings{13afe09606814504b18510aad8a09f7c,
title = "Feature rich translation model for example-based machine translation",
abstract = "Most EBMT systems select the best example scored by the similarity between the input sentence and existing examples. However, there is still much matching and mutual-translation information unexplored from examples. This paper introduces log-linear translation model into EBMT in order to adequately incorporate different kinds of features inherited in the translation examples. Instead of designing translation model by human intuition, this paper formally constructs a multi-dimensional feature space to include various features of different aspects. In the experiments, the proposed model shows significantly better result.",
keywords = "EBMT, Feature space, Log-linear translation model",
author = "Yin Chen and Muyun Yang and Sheng Li and Hongfei Jiang",
year = "2006",
doi = "10.1007/11940098\_36",
language = "英语",
isbn = "354049667X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "355--362",
booktitle = "Computer Processing of Oriental Languages - Beyond the Orient",
note = "21st International Conference on Computer Processing of Oriental Languages: Beyond the Orient: The Research Challenges Ahead, ICCPOL 2006 ; Conference date: 17-12-2006 Through 19-12-2006",
}