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Evaluating Parallel Corpora Based Machine Translation Performance from English into Arabic
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Journal Article
Evaluating Parallel Corpora Based Machine Translation Performance from English into Arabic
2024
Overview
This article aims at providing a practical quantitative analysis to evaluate parallel corpora-based machine translation (PCBMT) performances using an English into Arabic directionality. This article proposes to compare PCBMT performances of two different source texts in two different situations. The first situational PCBMT performance evaluation embarks from the non-existence of an online Arabic parallel text to the source text. The second situational PCBMT performance evaluation, however, uses another source text which has a human-translated parallel text available online for public use. Subsequently, a quantitative analysis is held to gauge quality in both performances in light of their different situations. Upon this, the present study explores the extent to which PCBMT systems' performance varies between situation 1 and situation 2, in terms of observing Arabic structural and contextual requirements to provide the ultimate output. The study shows that PCBMT performance from English into Arabic is quite divergent between the two situations and reiterates the need to further investigate Arabic renditions of PCBMT performances in both directionalities, from and into Arabic.
Publisher
جامعة الجزائر 2 - كلية اللغة العربية وآدابها واللغات الشرقية
Subject
