Results 11 to 20 of about 1,429,229 (301)
Perceptual Inference Through Global Lexical Similarity [PDF]
AbstractThe literature contains a disconnect between accounts of how humans learn lexical semantic representations for words. Theories generally propose that lexical semantics are learned either through perceptual experience or through exposure to regularities in language. We propose here a model to integrate these two information sources. Specifically,
Brendan T. Johns, Michael N. Jones
semanticscholar +4 more sources
Lexical similarity level between English and Portuguese
Although the studies which calculate the similarity index between languages are abundant, to date the similarity index between English and Portuguese has not been calculated.
María Isabel Maldonado García +1 more
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Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity
In this paper we focus on patterns of colexification (co-expressions of form-meaning mapping in the lexicon) as an aspect of lexical-semantic organization, and use them to build large scale synset graphs across BabelNet’s typologically diverse set of 499
John Harvill +2 more
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Augmenting Noun Taxonomies by Combining Lexical Similarity Metrics [PDF]
This paper presents a method for augmenting taxonomies with domain information using a simple combination of three existing lexical similarity metrics. The combined approach is evaluated by comparing their results against the annotated SEMCOR corpus.
Mark Stevenson
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Modulating the phonological similarity effect: The contribution of interlist similarity and lexicality [PDF]
The classical phonological similarity effect (PSE) was studied with words and nonwords in two immediate serial recall (ISR) tasks. The relative contributions of intralist and interlist interference were compared, and differential effects on item and order memory were observed. PSE occurred with words and was reversed with nonwords. In addition, PSE was
Paul Johan Karlsen, Arild Lian
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Textual Entailment Using Lexical And Syntactic Similarity
A two-way Textual Entailment (TE) recognition system that uses lexical and syntactic features has been described in this paper. The TE system is rule based that uses lexical and syntactic similarities. The important lexical similarity features that are used in the present system are: WordNet based uni-gram match, bi-gram match, longest common sub ...
Partha Pakray +2 more
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Evaluating Lexical Similarity to build Sentiment Similarity
In this article, we propose to evaluate the lexical similarity information provided by word representations against several opinion resourcesusing traditional Information Retrieval tools. Word representation have been used to build and to extend opinion resources such aslexicon, and ontology and their performance have been evaluated on sentiment ...
Grégoire Jadi +3 more
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Degree of Lexical Similarity between English and Kurdish
Indo-European languages are the native languages of the habitants of south and west Eurasia. It is the largest spoken language family in the world with 3.5 billion speakers, corresponding to 46% of the world population. Kurdish and English are genetically related, belong to the same family branch of languages, and are believed to have evolved from a ...
Mohammed Khalid Mahmood
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Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity [PDF]
Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem can be alleviated by estimating the probabilities of unseen co-occurrences of events from the probabilities of seen co-occurrences of similar events. In
Julie Weeds, David Weir
doaj +2 more sources
A Graph Diffusion Algorithm for Lexical Similarity Evaluation [PDF]
In this paper, we present an algorithm for evaluating lexical similarity between a given language and several reference language clusters. As an input, we have a list of concepts and the corresponding translations in all considered languages. Moreover, each reference language is assigned to one of $c$ language clusters.
Karol Mikula, Mariana Remešíková
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