Abstract Keyword Spotting (KWS) is here considered as a basic technology for Probabilistic Indexing (PrIx) of large collections handwritten text images to allow fast textual access the contents these collections. Under this perspective, probabilistic framework lexicon-based KWS in presented. The presentation aims at providing formal insights which help understanding classical statements (from P...

The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope improvement and applicability daily lives. It a sub-domain pattern recognition. Due advancement computational power computers since last few decades neural networks based systems heavily contributed towards providing state-of-the-art recognizers. In same direction, we have...

Language provides an important source of information to predict human personality. However, most studies that have predicted personality traits using computational linguistic methods have focused on lexicon-based information. We investigate to what extent the performance of lexicon-based and grammarbased methods compare when predicting personality traits. We analyzed a corpus of student essays ...

When people are acquiring language, it is not always clear from context which words refer to which objects, and the examples they see for any particular word will not all be the same. Previous approaches to the problem of learning or building a lexicon have characterized it as creating a mapping between a fixed set of words and a fixed set of meanings. This paper describes simulations of lexico...

Abstract. The long-term historical development and broad geographical variation of Chinese character (Hanzi/Kanji) has made it a crosscultural information sharing platform in East Asia. However, due to the lack of proper research framework, the integration of heterogeneous knowledge grounded in Hanzi and its variants has been a thorny problem. In this paper, we propose a theoretical framework f...

This paper describes a technique for generating parsing lexicons for a principle-based parser (Minipar). Our approach maps lexical entries in a large LCS-based repository of semantically classified verbs to their corresponding syntactic patterns. A by-product of this mapping is a lexicon that is directly usable in the Minipar system. We evaluate the accuracy and coverage of this lexicon using L...

the present paper aims to examine the role of frequency lexicon in assessing lexical proficiency of persian learners. addressing the frequency distribution pattern of persian words, the research which is conducted in corpus-based method studies the relationship between words and lexical proficiency as well as derives the frequency lexicon from persian corpus. to do so, formal and colloquial per...

In this paper, we propose a novel human computation game for sentiment analysis. Our game aims at annotating sentiments of a collection of text documents and simultaneously constructing a highly discriminative lexicon of positive and negative phrases. Human computation games have been widely used in recent years to acquire human knowledge and use it to solve problems which are infeasible to sol...