Machine Translation Evaluation: A Survey

The Correlation of Machine Translation Evaluation Metrics with Human Judgement on Persian Language

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

Survey of Machine Translation Evaluation

The evaluation of machine translation (MT) systems is an important and active research area. Many methods have been proposed to determine and optimize the output quality of MT systems. Because of the complexity of natural languages, it is not easy to find optimal evaluating methods. The early methods are based on human judgements. They are reliable but expensive, i.e. time-consuming and non-reu...

1.3: Survey of Machine Translation Evaluation

A Quantitative Method for Machine Translation Evaluation

Accurate evaluation of machine translation (MT) is an open problem. A brief survey of the current approach to tackle this problem is presented and a new proposal is introduced. This proposal attempts to measure the percentage of words, which should be modified at the output of an automatic translator in order to obtain a correct translation. To show the feasibility of the method we have assesse...

Towards a comprehensive evaluation method of memory-based translation systems

The paper gives an overview of the evaluation methods of memory-based translation systems: Translation Memories (TM) and Example Based Machine Translation (EBMT) systems. After a short comparison with the well-discussed methods of evaluation of Machine Translation (MT) Systems we give a brief overview of current methodology on memory-based applications. We propose a new aspect, which takes the ...

Evaluation Methods of a Linguistically Enriched Translation Memory System

The paper gives an overview of the evaluation methods of memory-based translation systems: Translation Memories (TM) and Example Based Machine Translation (EBMT) systems. After a short comparison with the well-discussed methods of evaluation of Machine Translation (MT) Systems we give a brief overview of current methodology on memory-based applications. We propose a new aspect, which takes the ...