Transforming text from one language to another by using computer systems automatically or
with little human interventions is known as Machine Translation System (MTS). Divergence …

Abstract Evaluation and error analysis of machine translation output are important but
difficult tasks. In this article, we propose a framework for automatic error analysis and …

Asiya: An Open Toolkit for Automatic Machine Translation (Meta-)Evaluation Page 1 The Prague
Bulletin of Mathematical Linguistics NUMBER 94 SEPTEMBER 2010 77–86 Asiya: An Open …

Abstract Evaluation results recently reported by Callison-Burch et al.(2006) and Koehn and
Monz (2006), revealed that, in certain cases, the BLEU metric may not be a reliable MT …

In this work we revise the application of discriminative learning to the problem of phrase
selection in Statistical Machine Translation. Inspired by common techniques used in Word …

We present a comparative study on Machine Translation Evaluation according to two
different criteria: Human Likeness and Human Acceptability. We provide empirical evidence …

Machine translation (MT) was developed as one of the hottest research topics in the natural
language processing (NLP) literature. One important issue in MT is that how to evaluate the …

A design for an Arabic-to-English translation system is presented. The core of the system
implements a standard phrase-based statistical machine translation architecture, but it is …

In this paper, an automated method is proposed for optimising the real-valued parameters of
a hybrid Machine Translation (MT) system that employs pattern recognition techniques …

This paper evaluates a new automatic MT evaluation metric, Normalized Compression
Distance (NCD), which is a general tool for measuring similarities between binary strings …