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Our Mission

Based on Natural language understanding (NLU) and Generation (NLG) / Computational Linguistics / Language and Speech Technology, to develop R & D tools for Text Processing (Corpus Cleaner, Normalizer, Parsers, and Linguistic Annotators), Speech Processing (Speech Synthesizer ), and Image Processing.

To develop Language Technology applications ranging from Corpus Analyzer to Human-Machine Interaction:

  • task_alt Cleaned, Transliterated text
  • task_alt Annotated text
  • task_alt Input devices ( Fonts and Keyboard Drivers)
  • task_alt Graphemes to Phonemes (Text to Speech)
  • task_alt Phonemes to Graphemes (Speech to Text )
  • task_alt Spelling and Grammar Checkers
  • task_alt Word Processors, E-dictionaries, E-Grammar
  • task_alt E- Language Teaching, Text Summarization, Machine Translation
  • task_alt Optical Character Recognizer
  • task_alt Information Extraction and Retrieval
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Our Vision

To break the barriers existing between digital savvy and digital deprived people ("Digital Divide”) in India.

To develop adequate computer processing for Indian languages, particularly Tamil, to obtain their due place in the global information society.

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80% Completed Projects
70% Customer Satisfaction
70% Expert Employees
Have any question about us?

Don't hesitate to contact us.

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Our Services

See All Services
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Mentamizh Word Processor

Tamil Word processor with all utilities.

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Mentamizh Keyboards

18 types of Unicode Keyboard Drivers.

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MS Office Plugins

MS Office ADD-IN, Plugins for Microsoft Word, Powerpoint, Excel and Publisher.

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Font Converter

ASCII to unicode conversion for 16 fonts.

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Spell Checker

Written Tamil spell checker for accurate Language Correction.

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Sandhi Checker

Automatic sandhi checker for written Tamil.

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Hyphenation Marker

An automatic hyphenation tool based on linguistic principles.

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POS Tagger

Word class Tagger creates Annotated Text.

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E-Dictionary

Experience our Exquisite E-Dictionary.

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Corpus Development

Robust corpus Enriched with Extensive samples.

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Language Analysis Tools

From Phonology to Semantics, tools for language analysis.

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Data

Reach us for cleaned/ Transliterated/ Annotated Data.

Our Key Areas

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Multilingual Keyboards

To represent any natural language in a computer, the key component is the Keyboard driver. The number of characters or graphemes varies from one language to another.

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NLP Tools

Cross-linguistic NLP tools such as morphological, syntactic, and semantic analyzers for natural languages and also the Corpus Development and Corpus Analysis tools will be made available.

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Language Understanding

Production of linguistically motivated computational models of language understanding.

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Language Teaching

Development of e-learning materials to teach Tamil and other Indian languages; development of e-dictionaries, e-grammars, and other necessary computer-oriented materials for e-language teaching.

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Word Processor

Application software program to create, edit, save, and print documents.; it includes a spellchecker, grammar checker, dictionaries, etc. for a language.

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Language Generation

Tools necessary for generating natural language texts from the contents, a speaker or writer likes to represent in a natural language.

How It’s Work

NLP-Helps computers to understand Human Natural Language.

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Raw / Unstructured Text

The corpus will be collection of text-speech samples which should be processed further.

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Cleaned Text corpus

For both Rule-based as well AI-based NLP tools for natural languages, the methodologically developed corpus is essential.

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Transliterated Text

For the development of cross-linguistic analysis, the texts of languages should be transliterated.

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Annotated Text

The corpus may be available in two formats: one is, plain text and the other is linguistically annotated text.

Our Research & Development

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Rule Based Research

It is the strong assumption of linguistics that all natural languages are very much structured; this structure could be captured by proper rules. with these tools for analysis, the NLP may proceed.

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AI Based Research

Instead of providing linguistic knowledge to the corpus, if the quantity of the corpus is the biggest one, the computer itself could learn on its own the linguistic features of any language: these language models - "Large Language Modelling" - could be built using Probability and Deep Learning techniques. If at all necessary, the LLM may be fine-tuned for any specific purpose.

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Clients

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Malaysia

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Tamil Nadu

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Singapore