@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/jlcl-multiple-ingestion/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 {\textquotedblright}Giza++{\textquotedblright}[1], {\textquotedblright}moses{\textquotedblright}[2], and {\textquotedblright}training-phrasemodel.perl{\textquotedblright}[3]. We used these data and these tools, We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained."
}