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Natural Language Processing And Intiligent Systems

Md Abdul Muqsit khan
( Indian )

Maulana Azad National Urdu University
16-8-618 New Malakpate Hyd-32 Andhra pradesh India
tel: 040-9849256951
fax: 23006603
abdul_muqsit_khan@yahoo.co.in

Keywords:

knowledge representation language concepts language implementation

Abstract:

The work is related to language system development in terms of behavior , cognition inter lingual translation, engineering and understanding sense ambiguity/disambiguation in the context of word, sentences and segments of text such as paragraphs or large texts. The use of context tagging for sense ambiguity/disambiguation studies is explored Natural Language Processing not only represents language using machines but also analyzes the basic structure of languages. Research in Computational Linguistics and Language Engineering is concerned with applying different theories to make natural languages computationally feasible and tractable for Indian languages. The relatedness of neuro-linguistics, clinical linguistic programming, psycholinguistics, socio- linguistics, linguistic schizophrenia, language engineering, natural language understanding, natural language processing is investigated. Current language processing application use, Taggers are programs which can identify either the grammatical parts-of-speech of (e.g. noun, verb) or the semantic class of terms (e.g person or location name or monetary amounts or date/times). Every language has thousand of words and therefore developing such taggers is a time consuming process. Developing a tagger requires developing manual rule set or implementing machine learning techniques to tag bodies of text (called corpora). Computational Linguistics (CL) has applied and theoretical components.Applied CL focuses on the practical outcome of modeling human language use. The methods, techniques, tools and applications in the area are often subsumed under the term language engineering or (human) language technology. Although existing CL system are far from achieving human ability, they have numerous possible applications. Software products are needed for improving human-machine interaction since the main obstacle in the interaction between human and computer is communication problem. Theoretical CL takes up issues in theoretical linguistics and cognitive science. It deals with formal theories about the linguistic Knowledge that a human needs for generating language. The relevance of computational modeling for psycholinguistic research is reflected in the emergence of new sub-discipline: Computational Psycho linguistic. Neuro Linguistic considers the Neurological basis of thoughts behavior and sensory impressions it refer to the importance of words in ordering over thoughts and behavior. Also it studies the way in which ideas are organized to get result NLP is acronym for Neuro Linguistic Programming as well as for Natural Language Processing. Neuro refers to Neurology, Nerve system the mental pathways five senses take which allows seeing, feeling, hearing, taste and smell.NLP also covers silent languages of movement and gestures which reveal mental status thinking styles and more. Programming, taken from computer science refers to the idea that our thorough, feelings and actions are likely are computer software programmes when we change those programmes just we change or upgrade software we immediately get positive change in performance. We get immediate improvement in how we think, feel, act and live. Linguistic Schizophrenia is another issue that promising scope for work. Clinical Linguistic is related discipline. Natural Language Interface deals with applications related to data base queries, information retrieval from text, expert system and robot control. Spoken language need to combine with other mode of communications such as pointing with Mouse or Finger. Multi-Model Communication is to be finally embedded in an effective general model of cooperation. This is under the gamut of Human Computer Interface. Natural Language Interface (NLI) to data base to benefit from the advances in statistical parsing. However, statistical parsers require training on a massive, labeled corpus, and manually creating such a corpus for each database is prohibitively expensive. To address this quandary, NLI can be developed which uses a statistical parser as a "plug in". A strong semantic model coupled with "light retraining" enables to overcome parser errors, and correctly maps from parsed question the corresponding SQL. Nevertheless, computational linguists have created software systems that simplify the work of human translators and clearly improve their productivity. Interlingual machine translation is an area to be pursued. Multimedia information is only structured, indexed and navigated through language in spite of text graphics sound and movies. For browsing, navigating, filtering and processing the information on the web, software gets the contents of documents. Language technology for content management is a necessary precondition for turning the wealth of digital information into collective knowledge. The increasing multilinguality of the web requires multilingual tools for indexing and navigating. Broadly the work will be related to the sub discipline of study under natural languages as stated above.

The PhD work started: 30-july-2005

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Last modified on Mon Aug 15 14:59:24 2005