AI-Litikai

Litikai 3.0 - Computational Orthographic Analyzer

Litikai 3.0 represents a sophisticated computational linguistics system for Assamese orthographic analysis and error correction. The system implements advanced morphological parsing algorithms combined with statistical language modeling for accurate spell-checking. Key features include: (a) context-aware lexical analysis engine, (b) machine learning-based suggestion algorithms with phonetic similarity scoring, and (c) real-time inline correction capabilities with user interaction feedback loops.

The linguistic rules and computational models are continuously refined through community-driven corpus analysis. For technical documentation and rule specifications, please refer to our orthographic guidelines. Research contributions and feedback are welcome at [email protected].

Research Team: Mr. Bikram M. Baruah, Dr. Probodh Borah, Dr. Biraj Kr. Kakati, Dr. Anjal Borah, Dr. Navanath Saharia and computational linguists from XOBDO.ORG.

Xobdo Boroxa 1.0 - Neural Text-to-Speech Engine

Xobdo Boroxa 1.0 implements a state-of-the-art neural text-to-speech synthesis system specifically optimized for Assamese phonetic characteristics. The system utilizes deep learning architectures including sequence-to-sequence models with attention mechanisms, trained on extensive Assamese speech corpora. The TTS engine processes Unicode text input through grapheme-to-phoneme conversion, prosodic modeling, and neural vocoding to generate natural-sounding speech output.

The system architecture incorporates language-specific acoustic modeling, contextual pronunciation rules, and adaptive speech synthesis parameters. Continuous model refinement is conducted through perceptual evaluation and acoustic analysis. Technical feedback and linguistic annotations are welcomed at [email protected].

Technical Development Team:

গৱেষণা দল স্বীকৃতি:

tLipi - Computational Script Transliteration System

tLipi 1.0 is a rule-based transliteration engine that performs systematic conversion from Assamese Devanagari script to Latin orthography using International Phonetic Alphabet (IPA) principles. The system implements comprehensive grapheme-to-phoneme mapping tables, contextual transformation rules, and phonotactic constraints specific to Assamese linguistic structures. The transliteration algorithm handles complex orthographic phenomena including conjunct consonants, vowel harmony, and dialectal variations.

The system supports batch processing of Unicode UTF-8 text with real-time output generation. For phonetic notation standards and transliteration conventions, refer to our phonetic documentation. Algorithm improvements and linguistic feedback are encouraged through community collaboration.

Computational Linguistics Team: Mr. Bikram M. Baruah, Mr. Satyajit Nath, and research contributors from XOBDO.ORG.