Basudha Das

• Creating, analyzing, evaluating, and managing natural language data through Lemmatization, Word segmentation, Annotation, Parsing, and Word sense disambiguation
• Understanding intricacies of problems and solving them as per client's requirements and market standard
• Creating and implementing linguistic rules to develop complex grammar of the target language in the target domain through pattern learning, induced rules and nested arguments
• Testing, evaluating, and validating the grammars on real-time user data
• Deep error analysis and handling query losses with functional understanding of natural language generation (NLG) and natural language understanding (NLU) parameters

‘Mother Tongue Survey of India – Phase II'

• Extensive field work for data collection of the assigned mother tongues in different parts of India
• Phonetic transcription of the data including on-site evaluations
• Thorough macro-analysis of data with high quality and precision
• Comparison with neighboring mother tongues and evaluating solidarity.
• Developing reports on the mother tongue’s phonological, morphological, syntactic structure.

'Converting Messaging Text into English Text Suitable for Sentimental Analysis'

• The work involved thorough investigation of corpus and research in the stylistic evolution in digital text writing
• Preparation of an exhaustive list of recurring style of English writing in messages.
• Converting those text messages into simple English texts.
• Developing linguistic rules regarding structural patterns of the messages.
• Preparing list of abbreviations and acronyms.
• Sentimental Analysis.

'Indian Language to Indian Language Machine Translation: ILM-Phase 2'

• The work involved preparing exhaustive list of possible language structures out of Bengali and Hindi corpus.
• Analyzing simple to complex structures of Bengali and Hindi language.
• Preparing linguistic rules for various structural patterns.
• Developing translational rules from Bengali to Hindi and vice-versa.
• Applying the rules in the Machine Translation System.
• Testing and evaluating machine translated texts

'Defining Key Concepts in Linguistics: A Bilingual Approach with Text-Machine Interface'

• Defining Key concepts in Linguistics with short but informative notes for dictionary purpose, involving extensive research from different sources
• Citing instances from Indian Languages
• Translation in Bengali and Digital documentation.