@inproceedings{murakami-etal-2007-statistical,
title = "Statistical machine translation using large {J}/{E} parallel corpus and long phrase tables",
author = "Murakami, Jin{'}ichi and
Tokuhisa, Masato and
Ikehara, Satoru",
booktitle = "Proceedings of the Fourth International Workshop on Spoken Language Translation",
month = oct # " 15-16",
year = "2007",
address = "Trento, Italy",
url = "https://preview.aclanthology.org/fix-sig-urls/2007.iwslt-1.23/",
abstract = "Our statistical machine translation system that uses large Japanese-English parallel sentences and long phrase tables is described. We collected 698,973 Japanese-English parallel sentences, and we used long phrase tables. Also, we utilized general tools for statistical machine translation, such as ``Giza++''[1], ``moses''[2], and ``training-phrasemodel.perl''[3]. We used these data and these tools, We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained."
}
Markdown (Informal)
[Statistical machine translation using large J/E parallel corpus and long phrase tables](https://preview.aclanthology.org/fix-sig-urls/2007.iwslt-1.23/) (Murakami et al., IWSLT 2007)
ACL