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FIRST LANGUAGE ACQUISITION

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Children learn language from the evidence they encounter. They can acquire any language, English, Tamil, Arabic or any human language they encounter. The grammatical sentences that the children acquire are positive evidences. Explanations, corrections of wrong sequences, and ungrammatical sentences are negative evidences. The universal grammar theory claims that evidence other than positive evidence cannot play a critical role. That is, […]

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COMPUTATIONAL LINGUISTICS

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Computational linguistics is considered as synonym of natural language processing. The main task of Computational linguistics is to construct programs in order to process words and texts in natural language. It is an interdisciplinary field. The term, computational linguistics, was coined by David Hays, member of Automatic Language Processing Advisory Committee (ALPAC). The final report of ALPAC

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CORPUS LINGUISTICS

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WHAT IS CORPUS LINGUISTICS? Corpus Linguistics is a branch of linguistics that uses a large collection of natural texts known as corpus for analysis. It is a complementary approach to traditional approaches. Corpus linguistics gets its real power by using computers for analysis. CHARACTERISTICS OF CORPUS LINGUISTICS CORPUS ANNOTATION Corpus annotation is an area of corpus linguistics. This is

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LINGUISTICS OVERVIEW

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WHAT IS LINGUISTICS? Linguistics is the study of human languages. It follows scientific approach. So it is also referred to as linguistic science. Linguistics deals with describing and explaining the nature of human languages. it treats language and the ways people use it as phenomena to be studied. Linguist is one who is expertise in linguistics.

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INTERLINGUAL MACHINE TRANSLATION

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Interlingua According to Collins dictionary Interlingua is an artificial language based on words common to English and the Romance languages. Interlingua is any artificial language used to represent the meaning of natural languages, as for purposes of machine translation. Interlingua is an intermediate form between two or more languages. Interlingual Machine Translation Interlingual Machine Translation is a

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EXAMPLE BASED MACHINE TRANSLATION

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The basic idea of Example-Based Machine Translation (EBMT) is to reuse examples of already existing translations as the basis for for new translation. The process of EBMT is broken down into three stages: 1.Matching2.Alignment3.Recombination MATCHING STAGE The matching stage in example based machine translation finds examples that are going to contribute to the translation on the basis of their similarity with

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