We propose a novel method for inducing monolingual semantic hierarchies and sense clusters from numerous foreign-language-to-English bilingual dictionaries. The method exploits patterns of non-transitivity in translations across multiple languages. No complex or hierarchical structure is assumed or used in the input dictionaries: each is initially parsed into the “lowest common denominator” for...

This paper presents a framework for extracting English and Chinese transliterated word pairs from parallel texts. The approach is based on the statistical machine transliteration model to exploit the phonetic similarities between English words and corresponding Chinese transliterations. For a given proper noun in English, the proposed method extracts the corresponding transliterated word from t...

Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, — a “sentiment lexicon” or “affective word lists”. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) deve...

This paper describes a method for script independent word spotting in multilingual handwritten and machine printed documents. The system accepts a query in the form of text from the user and returns a ranked list of word images from document image corpus based on similarity with the query word. The system is divided into two main components. The first component known as Indexer, performs indexi...

This study applied text mining techniques, machine learning approaches and statistical methods to construct a predictive model of a prioritized English vocabulary list to help nonnative English speakers prepare for college entrance English exams. Developing a method for efficiently learning English vocabulary in a limited time is an import issue. This study suggests that highly relevant and fre...

background : during the past two decades, a great deal of research has been conducted on developing affective norms for words in various languages, showing that there is an urgent need to create such norms in persian language, too. the present study intended to develop a set of 362 persian words rated according to their emotional valence, arousal, imageability, and familiarity so as to prepare ...