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Prof. Rajeev Sangal
| Address | Head, Language Technologies Research Centre and Director, I.I.I.T. ,Gachibowli ,Hyderabad 500 032 |
| Contact No | 40-6653 1144 |
| sangal@iiit.ac.in |
| Area of Interest | Natural Language Processing, Machine Translation and Artificial Intelligence |
| Domain of Expertise | Standardization, Research Areas, Linguistic Resources & Tools, Application Showcase |
| Experience | 30 Years |
| Qualification | Ph.D |
| Contribution | He has worked on Computational Paninian Grammar (CPG) framework which is linguistically elegant and computationally efficient. It is a dependency grammar based framework, particularly well suited for morphologically rich and free word-order languages. Constraint-based parser for it uses integer programming and bipartite graph matching. He has also worked on machine learning of parsing, reaching high accuracy even with a small treebank. The CPG framework now forms the basis of work on Indian language processing, including machine translation among Indian languages. |
- Two semantic features make all the difference in Parsing accuracy
- Improving Data Driven Dependency Parsing using Clausal Information
- On the Role of Morphosyntactic Features in Hindi Dependency Parsing
- Two methods to incorporate local morphosyntactic features in Hindi dependency parsing
- A modular cascaded approach to complete parsing
- Two stage constraint based hybrid approach to free word order language dependency parsing
- SSF: Shakti Standard Format Guide.
- Comparative Analysis of the Performance of CRF, HMM and MaxEnt for Part-of-Speech Tagging, Chunking and Named Entity Recognition for a Morphologically
- METEOR-Hindi : Automatic MT Evaluation Metric for Hindi as a Target Language
- Re-engineering Machine Translation Systems through Symbiotic Approach
- Dashboard: An Integration and Testing Platform based on Blackboard Architecture for NLP Applications
- Hindi Semantic Category Labeling Using Semantic Relatedness Measures
- A Graph Based Method for Building Multilingual Weakly Supervised Dependency Parsers
- Dependency Annotation Scheme for Indian languages
- An Ontological Resource Organized Around Purpose
- A Hybrid Approach to Single and Multiple PP AAttachment using WordNet
- HMM Based Chunker for Hindi
Dr. RAJNISH SHUKLA
| Address | 57 RPS COLONY M.B. ROAD KHANPUR |
| Contact No | 9910127475 |
| rshuklaps@yahoo.com |
| Area of Interest | PRAKRIT AND PALI LANGUAGE & LITERATURE OLD MANUSCRIPTS HANDWRITTEN ARE WORK. JAINISM AND BUDDHISM CULTURE, HISTORY ART, LITERATURE WORK LAST 10 YEARS. |
| Domain of Expertise | Standardization, Research Areas |
| Experience | 10 years |
| Qualification | Ph.D |
| Contribution | editing and comment wrintings |
- Paper not found on this portal
Dr. ANITHA S PILLAI
| Address | HINDUSTAN UNIVERSITY |
| Contact No | 9840081514 |
| mca@hindustanuniv.ac.in |
| Area of Interest | Machine translation,Named Entity Recognition,Information Retrieval, Parts of speech tagging,Speech processing |
| Domain of Expertise | Research Areas |
| Experience | 20 Years |
| Qualification | Ph.D |
- Paper not found on this portal
Mr. Ankur Garg
| Address | 6 CGO Complex Electronics Niketan |
| Contact No | 9971928810 |
| gankur@cdac.in |
| Area of Interest | NLP,Cyber Security,Web Application Design |
| Domain of Expertise | Research Areas |
| Experience | 8 years |
| Qualification | BTech |
- Paper not found on this portal
Mr. Sandipan Dandapat
| Address | Department of Computer Science & Engineering, IIT Kharagpur West Bengal, Kharagpur, Pin: 721302 |
| Contact No | +353 860326273 |
| sandipandandapat@gmail.com |
| Area of Interest | NLP, Computational Linguistics, Machine Learning and Artificial Intelligence |
| Domain of Expertise | |
| Others | Machine translation |
| Experience | 8 Years |
| Qualification | MS |
- Paper not found on this portal
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