To produce an adequate translation, language students are required to learn varieties of language features including syntax, semantics and pragmatics. Considering the curriculum language learners are face with, one can claim that almost all language students in Iran are taught these features in their academic settings including linguistic courses. Yet, there are some aspects of language which a...

We propose a semi-automatic tool, ter-might, that helps professional translators and terminologists identify technical terms and their translations. The tool makes use of part-of-speech tagging and word-alignment programs to extract candidate terms and their translations. Although the extraction programs are far from perfect, it isn't too hard for the user to filter out the wheat from the chaff...

Machine Translation (MT) has advanced in recent years to produce better translations for clients’ specific domains, and sophisticated tools allow professional translators to obtain translations according to their prior edits. We suggest that MT should be further personalized to the end-user level – the receiver or the author of the text – as done in other applications. As a step in that directi...

The recent technological shift in machine translation from statistical machine translation (SMT) to neural machine translation (NMT) raises the question of the strengths and weaknesses of NMT. In this paper, we present an analysis of NMT and SMT systems’ outputs from narrow domain English-Latvian MT systems that were trained on a rather small amount of data. We analyze post-edits produced by pr...

We carried out a study on monolingual translators with no knowledge of the source language, but aided by post-editing and the display of translation options. On Arabic-English and Chinese-English, using standard test data and current statistical machine translation systems, 10 monolingual translators were able to translate 35% of Arabic and 28% of Chinese sentences correctly on average, with so...

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...