Computational Morphology and Natural Language Parsing for Indian Languages: A Literature Survey

Abstract

Computational Morphology and Natural Language Parsing are the two important as well as essential tasks required for a number of natural language processing application including machine translation. Developing well fledged morphological analyzer and generator (MAG) tools or natural language parsers for highly agglutinative languages is a challenging task. The function of morphological analyzer is to return all the morphemes and their grammatical categories associated with a particular word form. For a given root word and grammatical information, morphological generator will generate the particular word form of that word. On the other hand Parsing is used to understand the syntax and semantics of a natural language sentences confined to the grammar. This literature survey is a ground work to understand the different morphology and parser developments in Indian language. In addition, the paper also deals with various approaches that are used to develop morphological analyzer and generator and natural language parsers tools.

Authors and Affiliations

Antony P J , Dr K P Soman

Keywords

Related Articles

An overview of Object Oriented Metrics A complete Survey

Object oriented metrics have become more important in software engineering field. They are used to measure software quality and to estimate the cost, to enhance the reliability, maintainability and effort of software pro...

Easy E-commerce using XML data source Without External database

Usually customers buy the goods of their desire from the store using internet. Administrator sell the goods with the help of external databases like oracle, mysql etc at administrator side. But in our proposed system, en...

Efficient Data Sharing with Unbounded Ciphertext Classes in Cloud Storage using Single key

Cloud computing is an emerging paradigm in which resources of the computing infrastructure can be able to share over the internet. As this paradigm also have many challenges for data security and access control when user...

A MACHINE LEARNING APPROACH TO PREDICT SOLAR RADIATION FOR SOLAR ENERGY BASED DEVICES

Solar energy is used in many applications, such as increasing water’s temperature or moving electrons in a photovoltaic cell, agriculture planning, fuel production, electricity production, transport, architecture and urb...

A Single Image Super Resolution Using Advanced Neighbor Embedding

There are lots of Super resolution methods developed recently. Each has its own pros and cons and behavior. The neighbor-embedding (NE) algorithm for single-image super-resolution reconstruction is one of them which assu...

Download PDF file
  • EP ID EP124996
  • DOI -
  • Views 143
  • Downloads 0

How To Cite

Antony P J, Dr K P Soman (2012). Computational Morphology and Natural Language Parsing for Indian Languages: A Literature Survey. International Journal of Computer Science & Engineering Technology, 3(4), 136-146. https://europub.co.uk/articles/-A-124996