Existing automated MT evaluation methods often require expert human translations. These
are produced for every language pair evaluated and, due to this expense, subsequent …

An overview of research to date in human and automated machine translation (MT)
evaluation (Elliott 2002) points to a growing interest in the investigation of new automated …

In earlier work, we succeeded in automatically predicting the relative rankings of MT systems
derived from human judgments on the Fluency, Adequacy or Informativeness of their output …

Intelligibility and fidelity are the two key notions in machine translation system evaluation,
but do not always provide enough information for system development. Detailed information …

Abstract Spoken Translation, Inc.(STI) of Berkeley, CA has developed a commercial system
for interactive speech-to-speech machine translation designed for both high accuracy and …

CESTA, the first European Campaign dedicated to MT Evaluation, is a project labelled by
the French Technolangue action. CESTA provides an evaluation of six commercial and …

This paper applies nonparametric statistical techniques to Machine Translation (MT)
Evaluation using data from a large scale task-based study. In particular, the relationship …

CESTA, the first European Campaign dedicated to MT Evaluation, is a project labelled by
the French Technolangue action. CESTA provides an evaluation of six commercial and …

This collection of short papers is a bird's eye view of current research in Corpus Linguistics,
Machine Learning and Evaluation at Leeds University. The papers are extended abstracts …

The present study investigates the overall quality of three currently available English-into-
Arabic machine translation (MT) systems. The evaluation deals with selected quality …