Malaysia's ruling party came under scrutiny in the 2008 general election for the inability to
resolve pressing issues confronted by the minority Malaysian Indian community. Some of the …

Objective: Word embedding models were most predominantly used in many of the NLP
tasks such as document classification, author identification, story understanding etc. In this …

Despite the growth of bilingual word embeddings, there is no work done so far, for directly
evaluating them for English–Tamil language pair. In this paper, we present a data resource …

The Reading comprehension is the main goal, where the objective is to understand the
meaning that the written text is trying to convey. Consequently, the focus of reading …

Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are
quite popular in large-scale evaluations. Technology enabled learning necessitates a smart …

In recent times, paraphrase identification task has got the attention of the research
community. The paraphrase is a phrase or sentence that conveys the same information but …

Machine Translation systems are fast replacing human translators to aid us in translation
between any pair of natural languages. Conversational sentences form the fundamental …

Tamil has initiated its technological development well in advance. It has made use of all the
opportunities given to it for making it suitable for digitalization and computerization. The …