scholarly journals English-Korean Translational Strategies of ‘Be Being + Predicative Adjective’ Constructions: An Analysis of an English-Korean Parallel Corpus

2012 ◽  
Vol 13 (4) ◽  
pp. 159-183
Author(s):  
SeungAhLee
2021 ◽  
pp. 507-525
Author(s):  
Talita Serpa ◽  
Paula Tavares Pinto ◽  
Diva Cardoso De Camargo

There is a growing body of literature that recognises the importance of Social Sciences in Translation Studies, such as the discussions surrounding the translational habitus, developed by Simeoni, Wolf, Inghilleri and Sela-Sheffy. In our research, we associate these ideas to corpora methodologies to analyse terminological usages as part of a professional behaviour. We hypothesise that when translation students previously face the most frequent terms extracted from a parallel corpus as well as their keyness and contexts, they replicate the same translational strategies in their texts, which can indicate their competencies eligible by their habitus.


2016 ◽  
Vol 1 (1) ◽  
pp. 45-49
Author(s):  
Avinash Singh ◽  
Asmeet Kour ◽  
Shubhnandan S. Jamwal

The objective behind this paper is to analyze the English-Dogri parallel corpus translation. Machine translation is the translation from one language into another language. Machine translation is the biggest application of the Natural Language Processing (NLP). Moses is statistical machine translation system allow to train translation models for any language pair. We have developed translation system using Statistical based approach which helps in translating English to Dogri and vice versa. The parallel corpus consists of 98,973 sentences. The system gives accuracy of 80% in translating English to Dogri and the system gives accuracy of 87% in translating Dogri to English system.


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