Computational Morphology and Natural Language Parsing for Indian Languages: A Literature Survey
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2012, Vol 3, Issue 4
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
System for Devices mobile based in recognition facial
In this paper is documents the development of the work of a security system for mobile devices based on Facial recognition. This recognition is based on the algorithm of Wu and SUSAN, it was obtained for 80% efficiency a...
Optimum Design of Composite Plates under Thermal Buckling Loads using Imperialist Competitive Algorithm
Thermal buckling loads of laminated composite plates are maximized for a given total thickness. Fiber directions and relative thickness of layers are considered as design variables. Analysis of buckling temperature is ca...
Cosine Similarity Function For The Temporal Dynamic Web Data
Cosine similarity function is one of the most popular similarity function for handling the web data in various applications such as recommender system, collaborative filtering algorithms, classification algorithms, etc....
A Neural Network Inverse Modeling Approach for the Design of Spiral Inductor
Artificial Neural networks (ANN’s) have now a days become efficient alternatives to conventional methods such as numerical modeling methods which could be computationally expensive, or analytical methods which could be d...
An Evaluation of A Country Based Anti- Phishing Approach Using Formal Methods
Phishing is a fraudulent attack that steals confidential information by mimicking a trustworthy entity in a medium of electronic communication. In this paper, research was conducted to evaluate a proposed country-based m...