Investigating the Relationship between Classification Quality and SMT Performance in Discriminative Reordering Models

Investigating the Relationship between Classification Quality and SMT Performance in Discriminative Reordering Models

Reordering is one of the most important factors affecting the quality of the output in statistical machine translation (SMT). A considerable number of approaches that proposed addressing the reordering problem are discriminative reordering models (DRM). The core component of the DRMs is a classifier...

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Bibliographic Details
Main Authors: Arefeh Kazemi, Antonio Toral, Andy Way, Amirhassan Monadjemi, Mohammadali Nematbakhsh
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Entropy
Subjects:
statistical machine translation
reordering model
classification
performance
correlation
intrinsic evaluation
Online Access:https://www.mdpi.com/1099-4300/19/9/340

Internet

https://www.mdpi.com/1099-4300/19/9/340

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