This work is aimed at building an adaptable frame-based system for processing Dravidian languages. There are about 17 languages in this family and they are spoken by the people of South India.Karaka relations are one of the most important features of Indian languages. They are the semabtuco-syntactic relations between verbs and other related constituents in a sentence. The karaka relations and surface case endings are analyzed for meaning extraction. This approach is comparable with the borad class of case based grammars.The efficiency of this approach is put into test in two applications. One is machine translation and the other is a natural language interface (NLI) for information retrieval from databases. The system mainly consists of a ...
Abstract — Natural language processing describes the use and ability of systems to process sentences...
This paper explores a computational modelfor Kannada nouns. This is a single toolperforming analysis...
Can computers process human languages? During the last fifty years, two main approaches have been us...
Abstract: The Dravidian languages are spoken all over the world. Despite their distinctiveness, Drav...
Example Based Machine Translation (EBMT), one of the ``non-traditional' ' approaches to Ma...
This paper attempts to emphasize the need for a standalone and independent Dravidian WordNet. Since ...
Kumauni language is one of the regional languages of India, which is spoken in one of the Himalayan ...
Natural Language Processing is a field of computer science, AI and linguistics concerned with the in...
This paper describes the architecture of a Machine Translation System with source language as Englis...
HinDialect: 26 Hindi-related languages and dialects of the Indic Continuum in North India Languag...
Case is often treated as an uninteresting part of computational processing (both parsing and generat...
The Dravidian family is one of the most widely spoken set of languages in the world, yet there are v...
In this paper a methodology for learning the complex agglutinative morphology of some Indian languag...
Data retrieval from the database requires knowledge of database language like SQL. Hence people with...
The paper introduces a dependency annotation effort which aims to fully annotate a million word Hind...
Abstract — Natural language processing describes the use and ability of systems to process sentences...
This paper explores a computational modelfor Kannada nouns. This is a single toolperforming analysis...
Can computers process human languages? During the last fifty years, two main approaches have been us...
Abstract: The Dravidian languages are spoken all over the world. Despite their distinctiveness, Drav...
Example Based Machine Translation (EBMT), one of the ``non-traditional' ' approaches to Ma...
This paper attempts to emphasize the need for a standalone and independent Dravidian WordNet. Since ...
Kumauni language is one of the regional languages of India, which is spoken in one of the Himalayan ...
Natural Language Processing is a field of computer science, AI and linguistics concerned with the in...
This paper describes the architecture of a Machine Translation System with source language as Englis...
HinDialect: 26 Hindi-related languages and dialects of the Indic Continuum in North India Languag...
Case is often treated as an uninteresting part of computational processing (both parsing and generat...
The Dravidian family is one of the most widely spoken set of languages in the world, yet there are v...
In this paper a methodology for learning the complex agglutinative morphology of some Indian languag...
Data retrieval from the database requires knowledge of database language like SQL. Hence people with...
The paper introduces a dependency annotation effort which aims to fully annotate a million word Hind...
Abstract — Natural language processing describes the use and ability of systems to process sentences...
This paper explores a computational modelfor Kannada nouns. This is a single toolperforming analysis...
Can computers process human languages? During the last fifty years, two main approaches have been us...