Article thumbnail

State-of-the-Art word reordering approaches in statistical machine translation: a survey

By Marta Ruiz Costa-Jussà and José Adrián Rodríguez Fonollosa

Abstract

This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is ony modeled within the limits of translation units. Relying only in the reordering provided by translation units may not be good enought in most language pairs, whichmight require longer reorderings. Therefore, additional techniques may be deployed to face the reordering challenge. The Statistical Machine Translation community has been very active recently in deveoping reordering techniques. This paper gives a brief survey and classification of seevral well-known reordering approaches

Topics: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Language, Translation, Traducció automàtica, Senyal, Teoria del (Telecomunicació)
OAI identifier: oai:recercat.cat:2072/187349
Provided by: RECERCAT
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://hdl.handle.net/2117/749... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.