<span>In this era of technology, a communication barrier is thing the past. With each passing day, different types language-based applications are being launched. There 109 official languages Google has translated to date. However, Dzongkha translation not been studied. The purpose paper was study English translation. parallel corpus collected from development commission Bhutan. dataset c...

Named entity translation plays an important role in many applications, such as information retrieval and machine translation. In this paper, we focus on translating person names, the most common type of name entity in Korean-Chinese cross language information retrieval (KCIR). Unlike other languages, Chinese uses characters (ideographs), which makes person name translation difficult because one...

This study discusses gender bias in terms of language especially from Indonesian into English translation by using Google Translate. research is descriptive qualitative research. The result shows that most likely every has gender-biased sides, including because the type society reality life more represented men and women. In translate, unequal differences between women translated google transla...

Concept lattices can significantly improve machine translation systems when applied as filters to their results. We have developed a rule-based machine translator from Turkish to English in a unification-based programming paradigm and supplemented it with an automatically constructed concept lattice. The test results achieved by applying this translation system to a Turkish child story reveals ...

The Norwegian business-to-business (B2B) market for bicycles consists mainly of international brands, such as Shimano, Trek, Cannondale, and Specialized. product descriptions these brands are usually in English need local translation. However, include bicycle-specific terminologies that challenging online translators, Google. For this reason, companies outsource translation or translate manuall...

Past research has shown that various types of computer assistance can reduce translation effort and improve translation quality over manual translation. This paper directly compares two common assistance types – selection from lists of translation options, and postediting of machine translation (MT) output produced by Google Translate – across two significantly different subject domains for Chi...

The primary task of language translation is to faithfully pass the meaning(s) of the source text to the target language. Unfortunately, meanings often get lost or distorted in machine translation, including state-of-the-art Google Translate and Baidu Translate. Yes Translate is a Chinese-English translation tool to be maximally loyal to the source text while maintaining adequate fluency. This i...

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...

Existing research has indicated the benefits of synchronous collaboration through Google Docs in enhancing language skills and productivity among learners. However, there remains a lack knowledge concerning collaborative translation within context English as Foreign Language (EFL) classrooms, particularly its impact on quality students’ translations. This study aims to investigate 20 ...