We present an adaptive translation quality estimation (QE) method to predict the human-targeted translation error rate (HTER) for a document-specific machine translation model. We first introduce features derived internal to the translation decoding process as well as externally from the source sentence analysis. We show the effectiveness of such features in both classification and regression o...

Translation memories used in Computer-aided translation (CAT) systems are the highest-quality resources of parallel texts since they are carefully prepared and checked by professional human translators. On the other hand, they are quite small when compared with other parallel data sources. In this paper, we propose several methods for expanding translation memories using both language-independe...

SAP has been heavily involved in the implementation and deployment of machine translation (MT) within the company since the early 1990s. In 2013, SAP initiated an extensive proof of concept project, based on the statistical MT system Moses (Koehn, et al., 2007), in collaboration with the external implementation partner CrossLang. The project focused on the use of Moses SMT as an aid to translat...

The present study is an attempt to provide a relatively comprehensive preview of the Iranian English translators’ perception on Machine Translation. Furthermore, the study tries to shed light on the status of implementation of Machine Translation among the Iranian English Translators. To reach the aforementioned objectives, the Localization Industry Standards Association’s questioner for measur...

Language resources (LR) are indispensable for the development of tools for machine translation (MT) or various kinds of computer-assisted translation (CAT). In particular language corpora, both parallel and monolingual are considered most important for instance for MT, not only SMT but also hybrid MT. The Language Technology Observatory will provide easy access to information about LRs deemed t...

Machine translation, especially translation based on neural network technology has made a major breakthrough and is increasingly accepted widely used. The development of artificial intelligence (AI) had definite impact jobs. People, even professional translators, are relying AI translation. But There no research whether machine software superior to translators in translating various types docum...

Integrating machine translation in online services poses a unique set of challenges and opportunities. Through the information superhighway, speakers of different languages can now communicate without the obstacles of time and distance. Yet language remains a barrier to communication in many cases. Draft quality machine translation (MT) can serve as a communication facilitator among online user...

The factors that may lead to Macao Government translators' acceptance of Computer Aided Translation (CAT) systems is studied in this research. Macao, known as the Eastern Las Vegas, has become a special executive region after returning to China from Portugal in 1999. Since then, translation has been implicit to the administrative procedures of the Macao Government due to the two-formal-language...

TRANSLATION is treated as a species of formal transformation of symbols. Everything symbolized by a set of symbols constitutes the domain of symbolization of the set. The ultimate elements of the domain which symbolize nothing further are designated the terminal indicatum. Most domains of symbolization comprise mediate symbols which are both symbolized by other symbols and themselves indicate f...