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In this paper, we present a new technique called Lightweight Dependency Analysis which in conjunctionwith Supertag disambiguation provides a method for Robust Partial Parsing, called Almost Parsing. An overview is given of the XTAG system in which this technique is being developed. In addition, we propose alternate metrics for evaluation of partial parsers(More)
In this paper we present an approach that incorporates structural information into language models without really parsing the utterance. This approach brings together the advantages of a n-gram language model { speed, robustness and the ability to integrate with the speech recognizer with the need to model syntactic constraints, under a uniform(More)
In this paper we present some novel applications of Explanation-Based Learning (EBL) technique to parsing Lexicalized Tree-Adjoining grammars. The novel aspects are (a) immediate generalization of parses in the training set, (b) generalization over recursive structures and (c) representation of generalized parses as Finite State Transducers. A highly(More)
The syntactic information latent in any coherent text can be exploited to overcome some inadequacies of keyword-based retrieval and make information retrieval more e ective. We have earlier quantitatively demonstrated how syntactic information is useful in ltering out irrelevant documents. We have implemented a system which exploits a rich syntactic(More)
In this paper, we describe a system called Glean, which is predicated on the idea that any coherent text contains signiicant latent information, such as syntactic structure and patterns of language use, which can be used to enhance the performance of Information Retrieval systems. We propose an approach to information retrieval that makes use of syntactic(More)
In this paper we describe a system called Glean which is predicated on the idea that any coher ent text contains signi cant latent information such as syntactic structure and patterns of lan guage use which can be used to enhance the per formance of Information Retrieval systems We propose an approach to information retrieval that makes use of syntactic(More)
The main purpose of this paper is to provide the new segmentation technique based on structure approach for Handwritten Hindi text. Segmentation is one of the major stages of character recognition. The handwritten text is separated into lines, lines into words and words into characters. The errors in segmentation propagate to recognition. The performance is(More)