Paper Info
Title
Grammar Extraction from Treebanks for Hindi and Telugu
Abstract
Grammars play an important role in many Natural Language Processing (NLP) applications. The traditional approach to creating grammars manually, besides being labor-intensive, has several limitations. With the availability of large scale syntactically annotated tree-banks, it is now possible to automatically extract an approximate grammar of a language in any of the existing formalisms from a corresponding treebank. In this paper, we present a basic approach to extract grammars from dependency treebanks of two Indian languages, Hindi and Telugu. The process of grammar extraction requires a generalization mechanism. Towards this end, we explore an approach which relies on generalization of argument structure over the verbs based on their syntactic similarity. Such a generalization counters the effect of data sparseness in the treebanks. A grammar extracted using this system can not only expand already existing knowledge bases for NLP tasks such as parsing, but also aid in the creation of grammars for languages where none exist. Further, we show that the grammar extraction process can help in identifying annotation errors and thus aid in the task of the treebank validation.
Year
Venue
Keywords
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
knowledge base,natural language processing
Field
DocType
Citations 
Rule-based machine translation,Computer science,Hindi,Grammar,Speech recognition,Treebank,Natural language processing,Artificial intelligence,Parsing,Syntax,Rotation formalisms in three dimensions,Telugu
Conference
2
PageRank 
References 
Authors
0.39
8
7
Name
Order
Citations
PageRank
Prasanth Kolachina1144.69
Sudheer Kolachina2323.67
Anil Kumar Singh317343.15
Samar Husain419018.43
Viswanatha Naidu550.85
Rajeev Sangal622033.27
Akshar Bharati78918.27