This paper describes how a supervised learning method is used for assigning inflectional paradigms to organizational named entities as the main prerequisite for generating a morphological lexicon of these entities. An inflectional paradigm consists of a set of rules for generating all forms of a lexicon entry. A morphological lexicon consists of lexicon entries and their corresponding forms. Th...

In this paper we describe a DomEx sentiment lexicon extractor, where a new approach for domain-specific sentiment lexicon extraction is implemented. Sentiment lexicon extraction is based on the machine learning model comprising a set of statistical and linguistic features. The extraction model is trained in the movie domain and then can be utilized to other domains. The system can work with var...

Lexicon is an essential part of Chinese Information Processing. In particular, compared with the basic lexicon, a large and perfect lexicon can effectively reduce the complexity and improve the precision of text parsing in TTS System. However, this special lexicon is hard to be constructed by either handwork or computer. This paper presents an approach to construct a large lexicon combining com...

Many NLP modules and applications such as morphosyntactic corpus annotation tools require the availability of a module for wide-coverage inflectional analysis. One way to provide such analyses is to look up the word form in an inflectional lexicon. Such a lexicon should list stems and their inflectional classes instead of the full forms for a better maintainability. To my knowledge, there is no...

Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ongoing research in video analysis, the TRECVID video analysis evaluations by the National Institute of Standards (NIST) in the U.S., and MPEG-7 standardization. The video analysis community has long struggled to bridge ...

This paper describes several aspects of the process of lexical acquisition for one of the most comprehensive applications in natural language processing knowledge-based machine translation. Specifically, the paper concentrates on those components of the lexicon that centrally relate to the task of processing meaning. The usability of the comprehensive ontological semantic lexicon exceeds NLP an...

The purpose of this study was to investigate the mental representation of cognate and noncognate translation pairs in languages with different scripts to test the prediction of dual lexicon model (Gollan, Forster, & Frost, 1997). Two groups of Persian-speaking English language learners were tested on cognate and noncognate translation pairs in Persian-English and English-Persian directions with...