Computer-aided Translation (CAT) tools have attracted the attention of scholars who practice translation in various disciplines. The current study investigated undergraduate students’ Perspectives on CAT and Machine (MT). More specifically, it investigates to what extent improve productivity quality. Finally, also explores other merits using tools. present used a qualitative analysis semi-struc...

Introduction Human translators working with "embedded machine translation (MT) systems"1 on the task of filtering text documents in a foreign language often have limited training in the foreign language they encounter. For our MT system users who are also language learners, we are developing a suite of linguistic tools that enable them, on the same laptop platform, to perform their foreign lang...

There is increasing interest in machine assistance for literary translation, but research on how computer-assisted translation (CAT) tools and (MT) combine the of literature still incipient, especially non-European languages. This article presents two exploratory studies where English-to-Chinese translators used neural MT to translate science fiction short stories Trados Studio. One compares po...

This work compares the post-editing productivity of professional translators and lay users. We integrate an English to Basque MT system within Bologna Translation Service, an endto-end translation management platform, and perform a producitivity experiment in a real working environment. Six translators and six lay users translate or post-edit two texts from English into Basque. Results suggest ...

Statistical Machine Translation (MT) systems have achieved impressive results in recent years, due in large part to the increasing availability of parallel text for system training and development. This paper describes recent efforts at Linguistic Data Consortium to create linguistic resources for MT, including corpora, specifications and resource infrastructure. We review LDC's three-pronged a...

This article reports on a key-logging study carried out to test the benefits of post-editing Machine Translation (MT) for the professional translator within a hypothetico-deductive framework, contrasting the outcomes of a number of variables which are inextricably linked to the professional translation process. Given the current trend of allowing the professional translator to connect to Google...

The number of Free Online Machine Translation (FOMT) users witnessed a spectacular growth since 1994. FOMT systems change the aspects of machine translation (MT) and the mass translated materials using a wide range of natural languages and machine translation systems. Hundreds of millions of people use these FOMT systems to translate the holy Quran (Al-Qurʾān) verses from the Arabic language to...

Automatic machine translation systems are seen unable to produce publishable quality translation, so various computer-assisted translation systems that emphasize humanmachine cooperation have been proposed. However, translator collaboration technologies are underdeveloped, an area of great importance for large volume translation tasks. Ideally, all human translation knowledge is shared among tr...

The gold standard for measuring machine translation quality is the rating of candidate sentences by by experienced translators. However, automated measures are necessary for rapid iterative development. BLEU (Papineni et al. 2002) is the best-known automatic measure of translation quality. BLEU and related measures are used to automatically evaluate machine translation (MT) systems, as well as ...