Developing a Conceptual Model of Context-Aware Machine Translation

An Approach Derived from Context-Based Translation

Authors

Abstract

In this study, a context-based translation consisting of "usage, image and constituents" was proposed to reflect the intended and cultural aspects of a source sentence more precisely. Accordingly, the study is concerned with considering the perspectives of the context-based translation in visualizing and developing a conceptual model of machine translation in which a context-aware system has been of concern. This model resembles a function from X to Y. That is, there is an X-sequence, a machine-friendly sequence, as point of departure. Next, the given sequence is processed based on four modules of a context-aware system as follows: context acquisition, context modelling, context reasoning and context distribution. The processed outputs of the context-aware system are transformed into two sequential sequences: Z­1, a sequence arranged based on the source language context and Z2, the translated sequence of Z­1 into target language. Then, the translated sequence (Z2) is converted into the Y-sequence, as the final proposed translation of the input. To enclose, the innovative aspects of the proposed model concerned a combined system processing based on both context-based and context-aware characteristics, not to mention the ending feedback sector receiving user’s satisfaction rate promotes the quality level of offered translation.

Keywords:

منظور شناسی، ترجمه¬ی بافت-بنیان، ترجمه ماشینی، سیستم بافت-آگاه

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Published

2022-10-14

How to Cite

عزتی ا. (2022). Developing a Conceptual Model of Context-Aware Machine Translation: An Approach Derived from Context-Based Translation. Iranian Journal of Translation Studies, 20(79), 24–46. Retrieved from https://journal.translationstudies.ir/ts/article/view/1005

Issue

Section

Academic Research Paper

DOR