Part Of Speech Tagging

Part-of-speech tagging is the process of labeling each word with relevant parts of speech. The tag assigned by a tagger is the most likely for a particular use of word in a sentence.

Research Papers:

S. Lakshmana Pandian and T. V. Geetha, Morpheme based Language Model for Tamil Part-of-Speech Tagging

Dhanalakshmi, Anand kumar, Rajendran, Soman K, POS Tagger and Chunker for Tamil Language

Tamil Machine Translation

Machine translation in Tamil

Tamil is one of the few classical languages still alive today. It is spoken by more than 77 million people across the world. There is a lot of research going on to find ways to translate between Tamil and other languages.

Research Centers:

Anna University, Chennai, India has AU-KBC (Anna University - K.B.Chandrasekar) research centre. It is a forerunner in Tamil machine translation. It has developed a small application, English-Tamil Machine Aided Translation System, with lot of limitations to translate from English to Tamil.

There is a NLP Research Group in Amrita Univsersity that aims to develop a robust machine translation system for regional languages such as Tamil and Malayalam.

Conferences:

Tamil Internet Conference is conducting conference every year. Many scholars are presenting papers in these conferences.

Resources:

Languages in India is the best online resource. It has many scholarly articles related to machine translation in Tamil and other languages. And the articles are freely available.

Books:

Dr.S.Kamakshi, Prof.S.Rajendran, Preliminariess to the preparation of a machine aid to translate linguistics texts writtern in English into Tamil, DLA Publications, 2004.

Rev.C.T.E.Rhenius, A Grammar of The Tamil Language, American Mission Press, 1853

Rule Based Machine Translation

What is a rule based machine translationsystem?

A rule based machine translation system consists of collection of rules called grammar rules, lexicon and software programs to process the rules. It is extensible and maintainable. Rules are written with linguistic knowledge gathered from linguists. Rules play major role in various stages of translation: syntactic processing, semantic interpretation, and contextual processing of language.

To Read More
Rule-based Machine Translation

Read

Nature Inspired Computing

Challenges in Machine Translation

1. Not all the words in one language have equivalent words in another language. In some cases a word in one language is to be expressed by group of words in another.  
2. Two given languages may have completely different structures. For example English has SVO structure while Tamil has SOV structure.  

More Challenges In Machine Translation
Challenges In Machine Translation

Read

Rule based Machine Translation

Machine Translation

The term machine translation (MT) is used in the sense of translation of one language to another. The ideal aim of MT systems is to produce the best possible translation without human assistance. Basically every MT system requires programs for translation and automated dictionaries and grammars to support translation.

To Read More
Machine Translation: Overview


Related Posts

Challenges in Machine Translation

Rule based Machine Translation

Nature Inspired Computing

Nature Inspired Computing (NIC) is one that aims to develop new computing techniques after getting ideas by observing how nature behaves in various situations to solve complex problems. Research on NIC has opened new branches such as evolutionary computation , neural networks, artificial immune systems, swarm intelligence, and so on. Robotics researchers, ...

Read more...