Stemming is a pre-processing step in Text Mining applications as well as a very common requirement of Natural Language processing functions. In fact it is very important in most of the Information Retrieval systems. The main purpose of stemming is to reduce different grammatical forms / word forms of a word like its noun, adjective, verb, adverb etc. to its root form. We can say that the goal o...

In Section 6 of "A statistical approach to machine translation" (Computational Linguistics 16(2), 79-85), we reported the results of two experiments in which we estimated parameters of a statistical model of translation from English to French. In the first experiment, the English and French vocabularies each consisted of 9,000 common words, and the model parameters were estimated from 40,000 pa...

A single, indirect exposure to a novel word provides information that could be used to make a fast mapping between the word and its referent, but it is not known how well this initial mapping specifies the function of the new word. The four studies reported here compare preschoolers' (N = 64) fast mapping of new proper and common names following an indirect exposure requiring inference with the...

While there has been much research into using selectional preferences for word sense disambiguation (WSD), much difficulty has been encountered. To facilitate study into this difficulty and aid in WSD in general, a database of the selectional preferences of non-pertainym prenomial adjectives extracted from the Google Web 1T 5-gram Corpus is proposed. A variety of methods for computing the prefe...

We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to inferring distributed representations of word meaning. Common tasks in lexical semantics such as word relatedness or selectional preference can benefit from modeling such structure: Polysemous word usage is often govern...

Stemming is a pre-processing step in Text Mining applications as well as a very common requirement of Natural Language processing functions. Stemming is the process for reducing inflected words to their stem. The main purpose of stemming is to reduce different grammatical forms / word forms of a word like its noun, adjective, verb, adverb etc. to its root form. Stemming is widely uses in Inform...

Genetic and environmental influences on cognitive components of reading span in 345 middle-aged male twin pairs were examined. Shared variance among word recognition (reading only), digits forward (short-term memory only), and reading span (concurrent reading plus memory) was almost entirely mediated by common genetic influences. Overall heritability was .52 for word recognition, .27 for digits...