On the basis of neuropsychological and functional imaging evidence, meaning and grammatical class (particularly the verb-noun distinction) have been proposed as organizational principles of linguistic knowledge in the brain. However, previous studies investigating verb and noun processing have been confounded by the presence of systematic correlations between word meaning and grammatical class....

We present a probabilistic incremental model of early word learning. The model acquires the meaning of words from exposure to word usages in sentences, paired with appropriate semantic representations, in the presence of referential uncertainty. A distinct property of our model is that it continually revises its learned knowledge of a word’s meaning, but over time converges on the most likely m...

Natural language is most common way to communicate with each other but it’s not possible to understand all the languages. To understand different languages machine translation (MT) is required. MT is the most excellent application which helps to understand any other language in very less time and cost. Related to this context some problems are faced by researchers like words which pronounce sam...

Current computational models of word learning make use of correspondences between words and observed referents, but as of yet cannot—as human learners do—leverage information regarding the meaning of other words in the lexicon. Here we develop a Bayesian framework for word learning that learns a lexicon from multiword utterances. In a set of three simulations we demonstrate this framework’s fun...

What is the meaning of a word? Unless one believes that we are born with an innate set of meanings waiting to find their corresponding expression in language, another option is that we learn the meaning of a word by observing how it is used by the language community we are born in. Some usages find their way into dictionaries and become established word senses. In order to understand what const...

Semantic Representation 2 This chapter deals with how word meaning is represented by speakers of a language, reviewing psychological perspectives on the representation of meaning. We start by outlining four key issues in the investigation of word meaning, then we introduce current theories of semantics and we end with a brief discussion of new directions. Meaning representation has long interes...

this research titeled (semantic change in the quranic words: praise prophet reverence) this study is about how to transform from the meaning to another. in this article we looked lexical and semantic meaning of three words of quran in pre-islamic era until the end of sending quran. we studied the influence of islam in changing word semantically. islam does not bring new words but added them new...

We illustrated a computational mechanism of shape bias and material bias with “ad-hoc meaning substitution (AMS)” hypothesis and verified it by computer simulations. AMS represents that when given a novel word and a instance object/substance, children substitute a known noun meaning nearest to the instance and the instance itself as an ad-hoc template of the novel noun meaning. The substitution...