For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Mophological processing, syntactic parsing and other useflfl tools have been proposed in the field of natural language processing(NLP). Many of those NLP tools take dictionary-bas...
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...