In a Machine Translation System (MTS), the number of possible analyses for a given sentence is largely dve to the ambiguous characteristics of the source language. In this paper, a mechanism, called "Score Function", is proposed for measuring the "quality" of the ambiguous syntax trees such that the one that best fits interpretation by human is selected. It is featured by incorporating the obje...

In this paper we describe the ASAP system (Automatic Semantic Alignment for Phrases)1 which participated on the Task 1 at the SemEval-2014 contest (Marelli et al., 2014a). Our assumption is that STS (Semantic Text Similarity) follows a function considering lexical, syntactic, semantic and distributional features. We demonstrate the learning process of this function without any deep preprocessin...

Natural human activities involve using and manipulating objects, often several at a time, simultaneously and continuously. For example, changing lanes while driving requires using a steering wheel and pedals, all while observing the road and making sure that lanes are clear. Not only are we recognizing these objects, but we know what to do with them (i.e., we can perceive object affordances). W...

Objective: According to the declarative/procedural model, the semantic aspect of language depends on the brain structures responsible for declarative memory. The word pairs task is a common tool for evaluating declarative memory. The current study aimed to design a valid and reliable task for evaluating declarative memory in Persian children at learning and retention stages and to investigate i...