21-03-2012, 01:37 PM
Translation Facilities on Mobile from English to Hindi
[attachment=18686]
Introduction
Natural language processing (NLP) is a subfield of Artificial Intelligence and Computational Linguistics. NLP studies applications of computer information techniques. Related to human language in terms of analyzes, understand and generate languages that humans use naturally. NLP may be used to design, Develop software’s.
India is expected to be the world's third-largest mobile market by number of users, behind China and the United States. Today almost in India about 200 million users are there and the most important factor is that all are Hindi Users. So it become most important for the Technology to provide Information in the Hindi .Were Users can understand it.
Objective
The Objective is to make Mobiles end users Interface English SMS to translate into Hindi language.
The objective of Mobile Translation is to utilize the potentiality of computing system for translating one language to another with minimal human intervention.
Pre-Processing
Extracts the text from Input format, Prepares the input text for translation by applying some intelligent module like –Sentence Relocation, Date DFA, Noun Marker, Number DFA, Sentence Extractor and On-fly Category Generation.
Parser and Generator
Applied some prerequisite for Parse the English Sentence like – Aux-Verb Collator, Adv Relocators, POS Tagger and Intelligent Disambiguator, Tree Reduction Module, Feature Identifier & Unifier.Parse the English Sentence, Generates the Hindi Sentences Applies Features and Grammar on Translated Hindi Output.
Post-Processing
Post processing provides facility to refine translated output as per user requirement. It supports Multiple output selection, Synonym Selection, Case Marker/ Punctuation Marker and Format Rebuilding.
[attachment=18686]
Introduction
Natural language processing (NLP) is a subfield of Artificial Intelligence and Computational Linguistics. NLP studies applications of computer information techniques. Related to human language in terms of analyzes, understand and generate languages that humans use naturally. NLP may be used to design, Develop software’s.
India is expected to be the world's third-largest mobile market by number of users, behind China and the United States. Today almost in India about 200 million users are there and the most important factor is that all are Hindi Users. So it become most important for the Technology to provide Information in the Hindi .Were Users can understand it.
Objective
The Objective is to make Mobiles end users Interface English SMS to translate into Hindi language.
The objective of Mobile Translation is to utilize the potentiality of computing system for translating one language to another with minimal human intervention.
Pre-Processing
Extracts the text from Input format, Prepares the input text for translation by applying some intelligent module like –Sentence Relocation, Date DFA, Noun Marker, Number DFA, Sentence Extractor and On-fly Category Generation.
Parser and Generator
Applied some prerequisite for Parse the English Sentence like – Aux-Verb Collator, Adv Relocators, POS Tagger and Intelligent Disambiguator, Tree Reduction Module, Feature Identifier & Unifier.Parse the English Sentence, Generates the Hindi Sentences Applies Features and Grammar on Translated Hindi Output.
Post-Processing
Post processing provides facility to refine translated output as per user requirement. It supports Multiple output selection, Synonym Selection, Case Marker/ Punctuation Marker and Format Rebuilding.