V. Dhanalakshmi

Publications14
h-index5
Citations172
Highly Influential Citations2
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Morphological Analyzer for Agglutinative Languages Using Machine Learning Approaches
TLDR
This paper is based on morphological analyzer using machine learning approach for complex agglutinative natural languages that captures the non-linear relationships in the morphological features of natural languages in a better and simpler way. Expand
  • 32
  • 1
Optimal tolerance design of assembly for minimum quality loss and manufacturing cost using metaheuristic algorithms
Tolerance allocation is a design tool for reducing overall cost of manufacturing while meeting target levels for quality. An important consideration in product design is the assignment of design and… Expand
  • 55
  • 1
Rule based Sentence Simplification for English to Tamil Machine Translation System
TLDR
Rule based technique is proposed to simplify the complex sentences based on connectives like relative pronouns, coordinating and subordinating conjunction to obtain simple sentences for machine translation. Expand
  • 46
Tamil Part-of-Speech Tagger based on SVM Tool
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Design and manufacturing tolerances optimisation with quality loss functions
TLDR
The competition in the current world market has forced the manufacturers to produce products with low cost and high quality. Expand
  • 9
A Novel Approach to Morphological Analysis for Tamil Language
TLDR
This paper presents the morphological analysis for complex agglutinative Tamil language using machine learning approach and achieves a very competitive accuracy of 95.65% for Tamil language. Expand
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Assess agent guilt model and handling data allocation strategies for data distribution
A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g., on the web or somebody's… Expand
  • 2
Shallow Parser for Tamil
  • 1
Morphology based Factored Statistical Machine Translation System for English to Tamil
  • 1
Image Interpolation using Sparse Matrix Representation
Super Resolution is the process of transforming a low resolution image into a high resolution image. Image Interpolation is a technique which is used in super resolution which is used to find the… Expand
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