Semantic maps and temperature: Capturing the lexicon-grammar interface across languages

Metacognitive (Rending) Strategies Across Languages and Techniques

Semantic innovations in lexicon: cognitive pragmatic interface

The paper focuses on the interrelation of language use with linguistic structure and underlying conceptual structure. We proceed from the assumption that new meaning development involves both cognitive and pragmatic issues. We explore the cognitive basis of semantic innovations and the way the individual sense alterations that arise from deviations in the words use are developing into a new mea...

Measuring Semantic Relatedness Across Languages

Measures of Semantic Relatedness are well established in Natural Language Processing. Their purpose is to determine the degree of relatedness between two words without specifying the nature of their relationship. Most of these measures work only between pairs of words in a single language. We propose a novel method of measuring semantic relatedness between pairs of words in two different langua...

the interface between syntax and lexicon in dependency grammar: the case of different functions of "shodan"

â â€œshodan” is a multifunctional verb in persian language. this paper deals with six different functions of “shodan” based on a purely formal approach. these functions are as follows: liking verb, light verb in some compound predicates, auxiliary verb, helping verb in passive voice, modal verb, and simple verb. the interface between lexicon and syntax, and the ways to show this relations...

Identifying bilingual semantic neural representations across languages.

The goal of the study was to identify the neural representation of a noun's meaning in one language based on the neural representation of that same noun in another language. Machine learning methods were used to train classifiers to identify which individual noun bilingual participants were thinking about in one language based solely on their brain activation in the other language. The study sh...