Developing a Conceptual Model of Context-Aware Machine Translation
An Approach Derived from Context-Based Translation
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-آگاهReferences
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Copyright Licensee: Iranian Journal of Translation Studies. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0 license).
