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We provide electrical projects based on power electronics, MATLAB Simulink and SIM Power
For Electronics Engineering Students we support technologies like ARM, GSM, GPS, RFID, Robotics, VLSI, NSL, NS3, OMNet++, OPNet, QUALNET, PeerSim
Natural Language Processing Projects encompasses information about human natural language eferred as computational linguistic human language technology (or) natural language engineering. We offer and support natural language processing projects to analyze and understand human language through machine. We attained various benefits of Natural language processing projects are data base interface, email, text categorization, web search, finance and chat services collected from Springer papers. We adopt natural language to understand spoken word and typed sentence by speech recognition, semantic analysis, Syntactic analysis, and pragmatic analysis. We deployed following process in more than 80 projects to study about natural language processing.
We implement this phase whereas human speech from microphone or recording devices. First human speech transformed to analog signal. Fourier transforms then transform into frequency. Dynamic time wrap application is used to compute speech speed and readable words are constructed from phones in speech recognition process.
We implement speech recognition process for students projects with some limitation are:
To analyze word syntax, we use grammar. It determines sentence structure to check sentence with respect to grammar and produce output as parse tree. Tree structure given as sentence -> Noun and verb Phrase -> proper noun and verb -> determiner.
We check and implement following steps are:
We implement this process by examining the part of speech and degenerate meaning of sentence from syntactic process. Grammar and semantic required for proper meaning.
We consider the steps are:
We propose this phase, to use sentence which means where, by, whom, why and which. Pronouns are handled and give syntactic output.
We implement this process which is the final step. It provides information as speech format and easily understood by human beings. It converts templates into speech using speech synthesis. It is difficult to express human stress, timing, emotion among words. We performed these steps to carry out M.Tech final year projects for students in an optimistic way.Natural Language Processing Projects