The present paper aims to categorize different types of synonymous words and also to highlight their synonymic pattern as well as grammatical categories found in Wordnet of Assamese language. Synonymy is an important component of vocabulary of the language. It establishes lexical relation between words. In fact, the term ‘synonymy’ is applied to the two or more words which share the same semant...

Philosophers and linguists have claimed that verb meanings are divided into semantic types or superordinate categories that differ in internal conceptual structure. In particular, eventive verbs, which have internal causal structure are distinguished from stative verbs, which have no internal causal structure. In this paper, we explore the processing consequences of assuming that the lexical re...

In this paper, we develop a knowledge based methodology that maps Automatic Speech Recognizer (ASR) transcriptions to predefined semantic categories in a Voice Activated Question Answering (VAQA) system. The proposed semantic categorization methodology, SemCat, uses a novel lexical chains/ontology based algorithm and relies heavily on customized but domain independent Natural Language Processin...

This paper describes the theory and implementation of Babel, a system which explores the hypothesis that much of the diierences in the world's languages may be characterized by the inventory and properties of the lexical items and functional categories of those languages. The structure of Babel assumes that functional categories are originally lacking in a child's syntax, and are acquired throu...

This paper proposes a novel approach to the induction of Combinatory Categorial Grammars (CCGs) by their potential affinity with the Genetic Algorithms (GAs). Specifically, CCGs utilize a rich yet compact notation for lexical categories, which combine with relatively few grammatical rules, presumed universal. Thus, the search for a CCG consists in large part in a search for the appropriate cate...

Linguistic grammars do a good job of elucidating the lexical categories and phrasal units of the languages they model. Certain recurrent Connectionist networks can model similar data but it is not easy to discern the abstract structures of the resulting representations. Hierarchical clustering is helpful in this regard, but it often produces implausible clusters and there seems to be no princip...

There are several ways to categorize the Japanese lexicon. Like many of the world’s languages, it is possible to divide Japanese into so-called lexical categories—within Japanese, nouns, verbs, adverbs, and adjectives are among those that are generally recognized. Additionally, there are some theories that claim the necessity of a “verbal noun” part of speech; however, these claims are not enti...

Two studies investigated how convergence between linguistic representations in Dutch-French bilinguals affects the centers and boundaries of lexical categories for common household objects. In Study 1, correlations between typicality ratings for roughly corresponding categories were higher for bilinguals in their two languages than for monolinguals in each language, indicating that bilingual pr...

Automatic text categorization is a complex and useful task for manynatural language processing applications. Recent approaches to textcategorization focus more on algorithms than on resources involved in thisoperation. In contrast to this trend, we present an approach based on the integration of widely available resources aslexical databases and training collections to overcome current limitati...

We discuss a method for augmenting and rearranging a structured lexicon in order to make it more suitable for a topic labefing task, by making use of lexical association information from a large text corpus. We first describe an algorithm for converting the hierarchical structure of WordNet [13] into a set of flat categories. We then use lexical cooccurrence statistics in combination with these...