HINDI Text-Book First Language STD 9,10,11,12

HINDI Text-Book First Language STD 9,10,11,12

INTRODUCTION

Natural Language Processing (NLP) is use of communication between computers and human languages. NLP is a field of computer science and artificial intelligence. NLP is area of human computer interaction. In NLP many types are available such as , Pronominal anaphora, Definite noun phase anaphora , Oneanaphora or Quantifier/Ordinal anaphora, Nominal anaphora , Pleonastic ‘it’ anaphora , Zero anaphora Anaphora is a sub topic of NLP. Anaphora is used of text conversation to avoid repetition. Ex. Pronouns he, she, it, and they. Brief summary about different anaphora resolving system using types of anaphora and its described in section II. more useful introduction of many algoritams are described in section III. Resolution system is described in section VI. At last conclusion of review paper is described insection V.

LITERATURE REVIEW

They present anaphora resolution for Hindi language. Anaphora resolution is a key problem in natural language processing. The researching weight of work has been done in English and other European language, and in Hindi language efficient work is pending. And that work completed in different section. That first section of the present paper review of anaphora resolution work in Hindi language. And the second part they solve problem of syntactic and semantic structure of Hindi pronoun. Then after thread part is define source constraint which will form to the task of anaphora resolution. And in last they perform different experiment on different kind of data set. And also they get results is obtain 71%. [1]

They discussed about the Chinese Natural Language Interface for Navigation in Mobile GIS. In that “Mobile GIS” and “Voice technology” both combination has improved the intelligent degree of mobile GIS. Natural language quick convert to GIS commands they can possible because of field of scientific research. This paper study of natural language sentences and GIS command understanding method of mobile voice GIS. Using a machine learning method conversion between natural language and GIS commands. [2]

Author discussed the system’s design using two algorithms implemented in the current version of the system for descriptions and pronoun resolution. Develop one tool GUITAR (General Tool for Anaphora Resolution) In this paper they briefly discuss the architecture and implementation of the system, as well as some preliminary evaluation results.[3]

They discuss about the natural language processing or define all the language using different country. There are many NLP applications such as machine translation, question answering system, automatic summarization etc. In this paper there are three techniques are use first is statistical machine translation, second parallel corpus, and third one is phrase-based translation. and also we discuss about Indian language to translate a many language like Gujarati, Hindi, Bengali, Telugu, Tamil, Urdu that all language are translating in Indian language by using the Machine translation technique. [4]


HINDI Textbook – (First Language) HINDI MEDIUM STD 9 Click Here

HINDI Textbook – (First Language) HINDI MEDIUM STD 10 Click Here

HINDI Textbook – (First Language) HINDI MEDIUM STD 11 Click Here

HINDI Textbook – (First Language) HINDI MEDIUM STD 12 Click Here