This paper describes about the development of a two stage hybrid Named Entity Recognition (NER) system for Indian Languages particularly for Hindi, Oriya, Bengali and Telugu. We have used both statistical Maximum Entropy Model (MaxEnt) and Hidden Markov Model (HMM) in this system. We have used variety of features and contextual information for predicting the various Named Entity (NE) classes. T...

We examine the functional cohesion of procedures using a data slice abstraction. Our analysis identi es the data tokens that lie on more than one slice as the \glue" that binds separate components together. Cohesion is measured in terms of the relative number of glue tokens, tokens that lie on more than one data slice, and super-glue tokens, tokens that lie on all data slices in a procedure, an...

Abstract Simplified models provide a useful way to study the impacts of small number new particles on experimental observables and interplay those observables, without need construct an underlying theory. In this study, we perform global fits simplified dark matter with using up-to-date set likelihoods for indirect detection, direct detection collider searches. We investigate in which scalar or...

After presenting a variety of arguments in support of the idea that ordinary names are indexical, I respond to John Perry’s recent arguments against the indexicality of names. I conclude by indicating some connections between the theory of names defended here and Wittgenstein’s observations on naming, and suggest that the latter may have been misconstrued in the literature.

Monkeys can learn the symbolic meaning of tokens, and exchange them to get a reward. Monkeys can also learn the symbolic value of a token by observing conspecifics but it is not clear if they can learn passively by observing other actors, e.g., humans. To answer this question, we tested two monkeys in a token exchange paradigm in three experiments. Monkeys learned token values through observati...

This paper reports about the development of a Named Entity Recognition (NER) system for South and South East Asian languages, particularly for Bengali, Hindi, Telugu, Oriya and Urdu as part of the IJCNLP-08 NER Shared Task. We have used the statistical Conditional Random Fields (CRFs). The system makes use of the different contextual information of the words along with the variety of features t...

When learning grammar of the new language, a teacher should routinely check student’s exercises for grammatical correctness. The paper describes a method of automatically detecting and reporting grammar mistakes, regarding an order of tokens in the response. It could report extra tokens, missing tokens and misplaced tokens. The method is useful when teaching language, where order of tokens is i...