Yap Ngee Thai

Abstract Cross-cultural pragmatic reasoning requires computational systems to interpret implicit meanings and culturally-specific communication patterns beyond literal semantic comprehension. This study proposes a cognitive salience feature-driven multi-task deep learning model that integrates attention-based mechanisms mirroring human perceptual priorities with culture-conditioned gating for cross-cultural pragmatic inference.

Abstract : Bilingual speakers often engage in code-switching, that is the use of lexical items and grammatical features from two languages in one sentence. Malaysia is a particularly interesting context for the study of code-switching because Malay-English code-switching is widely practiced across formal and informal situations, and the available literature reveals that there is a great diversity in switch patterns in this language pair.