This research suggests two contributions in relation to the multiword noun compound bracketing problem: first, demonstrate the usefulness of Wikipedia for the task, and second, present a novel bracketing method relying on a word association model. The intent of the association model is to represent combined evidence about the possibly lexical, relational or coordinate nature of links between al...

The English WordNet is a lexical database containing more than 206,900 wordconcept pairs and more than 377,500 semantic and lexical links. Trying to visualize them all at once as a node-link diagram results in a representation which can be too big and complex for the user to grasp, and which cannot be easily processed by current web technologies. We propose a visualization technique based on th...

Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesaurus-based measures of word pair similarity are based on only a single path between those words in the thesaurus graph. By contrast, we propose a new model of lexical semantic relatedness that incorporates information fro...

Research using online comprehension measures with monolingual children shows that speed and accuracy of spoken word recognition are correlated with lexical development. Here we examined speech processing efficiency in relation to vocabulary development in bilingual children learning both Spanish and English (n=26 ; 2 ; 6). Between-language associations were weak: vocabulary size in Spanish was ...

Thesauri have always been a useful resource for natural language processing. WordNet, a kind of thesaurus, has proven invaluable in computational linguistics. We present the various applications of Roget’s Thesaurus in this field and discuss the advantages of its structure. We evaluate the merits of the 1987 edition of Penguin’s Roget’s Thesaurus of English Words and Phrases as an NLP resource:...

This paper presents a combination of algorithms for automatic ontology building based mainly on lexical cooccurrence statistics. We populate an ontology with hypernymy links, thus we refer more specifically to a taxonomy of lexical units (nouns organized by hypernymy relations) rather than an ontology of formally defined concepts. A set of combined statistical procedures produce fragments of ta...

Recently, a computational model of human word recognition, called SpeM, has been developed. In contrast to most current models of human word recognition, SpeM is able to process actual acoustic speech input, and decodes the incoming speech stream into lexical and non-lexical items. This model makes the links between HSR and ASR as explicit as possible. In this paper, we focus on unravelling the...

In this position paper we discuss some of the experiences we made in describing lexical data using representation formalisms that are compatible for the publication of such data in the Linked Data framework. While we see a huge potential in the emerging Linguistic Linked Open Data, also supporting the publication of less-resourced language data on the same platform as for mainstream languages, ...

Princeton WordNet is the most widely-used lexical resource in natural language processing and continues to provide a gold standard model of semantics. However, there are still significant quality issues with the resource and these affect the performance of all NLP systems built on this resource. One major issue is that many nodes are insufficiently defined and new links need to be added to incr...

this article studies the generative grammar approach and some other theories driven from it to lexicon and lexical entries. generative grammar is known as a syntax-based theory, so some aspects of language which have been studied in this theory may have been ignored in other theories. this article shows that more attention has been given to lexicon and lexical entries since 50s. we may claim th...