Abstract. The paper deals with developing stemming algorithms that could be applied to develop a search and retrieval system for digital documents in Telugu- a language belonging to the South-central branch of the Dravidian languages. A set of stemming algorithms is developed to index and search for documents in the Telugu language. The algorithms developed demonstrate successfully that stemming algorithms for Indian languages can be developed for increasing the search efficiency in Indian languages
Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical characte...
Stemming is an important process to improve performance of a search engine by reducing the variant w...
Abstract— Natural languages differ from one geographical location to the other. In India, there are ...
Abstract. The paper deals with developing stemming algorithms that could be applied to develop a sea...
Abstract — Stemming is a pre-processing step in Text Mining applications as well as a very common re...
Abstract—Stemming is an operation that relates morphological variants of a word. The purpose of stem...
The main goal of this article is to describe and evaluate various indexing and search strategies for...
Abstract — In this paper, a new stemmer has been proposed named as “Maulik ” for Hindi Language. Thi...
Our first objective in participating in FIRE evaluation campaigns is to analyze the retrieval effect...
This paper presents the experiments of Language Technologies Research Centre (LTRC)1 as part of thei...
This paper presents an unsupervised approach for the development of a stemmer (For the case of Urdu ...
Gujarati language is indigenous language in the Indian State of Gujarat, known for its rich morpholo...
Abstract- This paper explains the information retrieval using natural language processing for Malaya...
Stemming is the process of automatically extracting the base form of a given word of a language. Ass...
question answering is the main field of research of text mining. In this process user is assigned a ...
Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical characte...
Stemming is an important process to improve performance of a search engine by reducing the variant w...
Abstract— Natural languages differ from one geographical location to the other. In India, there are ...
Abstract. The paper deals with developing stemming algorithms that could be applied to develop a sea...
Abstract — Stemming is a pre-processing step in Text Mining applications as well as a very common re...
Abstract—Stemming is an operation that relates morphological variants of a word. The purpose of stem...
The main goal of this article is to describe and evaluate various indexing and search strategies for...
Abstract — In this paper, a new stemmer has been proposed named as “Maulik ” for Hindi Language. Thi...
Our first objective in participating in FIRE evaluation campaigns is to analyze the retrieval effect...
This paper presents the experiments of Language Technologies Research Centre (LTRC)1 as part of thei...
This paper presents an unsupervised approach for the development of a stemmer (For the case of Urdu ...
Gujarati language is indigenous language in the Indian State of Gujarat, known for its rich morpholo...
Abstract- This paper explains the information retrieval using natural language processing for Malaya...
Stemming is the process of automatically extracting the base form of a given word of a language. Ass...
question answering is the main field of research of text mining. In this process user is assigned a ...
Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical characte...
Stemming is an important process to improve performance of a search engine by reducing the variant w...
Abstract— Natural languages differ from one geographical location to the other. In India, there are ...