In Malaysia, Malaysian English is a variety that very much known by the speech community and commonly used for colloquial communication. Although many studies have been conducted in exploring development of ME within various aspects, little research focused on lexemes semantic shift ME. Thus, as empirical literatures field shown lexis semantics are constantly evolving from time to time, it impe...

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Semantic processing of sequences of words requires the cognitive system to keep several word meanings simultaneously activated in working memory with limited capacity. The real- time updating of the sequence of word meanings relies on dynamic changes in the associates to the words that are activated. Protocols involving two sequential primes report a semantic priming shift from larger priming o...

We present a shift-reduce CCG semantic parser. Our parser uses a neural network architecture that balances model capacity and computational cost. We train by transferring a model from a computationally expensive loglinear CKY parser. Our learner addresses two challenges: selecting the best parse for learning when the CKY parser generates multiple correct trees, and learning from partial derivat...

persian and arabic have had long-lasting religious and cultural symbiosis. due to their speakers’ similar cultural conditions and geographical proximity, the two languages have lived a long time near each other, have grown together and enriched each other. the authors of this article studied the word formation processes in the two languages and showed the capabilities and limitations of each of...

Cardiac magnetic resonance imaging (cMRI) is an integral part of diagnosis in many heart related diseases. Recently, deep neural networks have demonstrated successful automatic segmentation, thus alleviating the burden time-consuming manual contouring cardiac structures. Moreover, frameworks such as nnU-Net provide entirely auto- matic model configuration to unseen datasets enabling out-of-the-...