@inbook{be8eb77554a84774acf0466ed24d1cba,
title = "Statistical Machine Translation for Bilingually Low-Resource Scenarios: A Round-Tripping Approach",
abstract = "In this paper we apply the round-tripping algorithm to Statistical Machine Translation (SMT) for making effective use of monolingual data to tackle the training data scarcity. In this approach, the outbound-trip (forward) and inbound-trip (backward) translation tasks make a closed loop, and produce informative feedback to train the translation models. Based on this produced feedback we iteratively update the forward and backward translation models. The experimental results show that translation quality is improved for Persian\textbackslash{}leftrightarrow Spanish translation task.",
keywords = "low-resource languages, natural language processing, round-tripping algorithm, statistical machine translation",
author = "Benyamin Ahmadnia and Gholamreza Haffari and Javier Serrano",
year = "2018",
month = dec,
day = "28",
doi = "10.1109/CIST.2018.8596614",
language = "Ingl{\'e}s estadounidense",
series = "Colloquium in Information Science and Technology, CIST",
pages = "261--265",
editor = "\{Al Achhab\}, Mohammed and \{El Mohajir\}, Mohammed and Ismail Jellouli and \{El Mohajir\}, \{Badr Eddine\}",
booktitle = "5th International Congress on Information Science and Technology, CiSt 2018",
}