As computer is an electronic machine, it can feel only electricity. It cannot understand human languages. So computer can understand a language which is directly related to electricity. So which language the computer can understand? The answer is binary language or machine language. The binary language consists of only two numbers 0 and 1 where 0 represent low voltage and 1 represent high voltage. New words can […]
WHAT IS THE LANGUAGE OF COMPUTER? Read More »
AgendaA prioritized list of parser tasks still to be executed. AlignmentMapping the text segments of a parallel text onto each other. AmbiguityAmbiguity is a situation in which a word, phrase or sentence conveys more than one meaning. Back-offA mechanism for smoothing the estimates of the probabilities of rare events by relying on less specific models.
GLOSSARY OF NLP TERMS Read More »
Natural Language Processing (NLP) aims to acquire, understand and generate the human languages such as English, French, Tamil, Hindi, etc. SYMBOLIC APPROACHES TO NATURAL LANGUAGE PROCESSING Symbolic Approaches also known as Rationalist approaches believe that significant part of the knowledge in the human mind is not derived by the senses but is fixed in advance,
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ABBREVIATIONS ATN – Augmented Transition Network CART – Classification And Regression TreeCAT – Computer Aided TranslationCF – Context FreeCFG – Context Free GrammarCG – Constraint GrammarCL – Controlled LanguageCS – Context Sensitive DCG – Definite Clause GrammarDET – DeterminerDLT – Distributed Language TranslationDM – Data Mining EBMT – Examble-Based Machine Translation FA – Finite AutomationFS
Natural language processing is successful in meeting the challenges as far as syntax is concerned. But it still has to go a long way in the areas of semantics and pragmatics. The issues still unresolved in semantics are finding the meaning of a word or a word sense, determining scopes of quantifiers, finding referents of anaphora,
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Contextual Word Similarity is nothing but identifying different types of similarities between words. It is one of the goals of Natural Language Processing. Statistical approaches are used for computing the degree of similarity between words. A word is represented by a word co-occurrence vector in which each entry corresponds to another word in the lexicon. The
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The observation of Zipf on the distribution of words in natural languages is called Zipf’s law. It desribes the word behaviour in an entire corpus and can be regarded as a roughly accurate characterization of certain empirical facts. According to Zipf’s law, Frequency * rank = constant. That is, the frequency of words multiplied by their ranks in a
WHAT IS COLLOCATION? Collocation or lexical collocation means two or more words co-occur in a sentence more frequently than by chance. A collocation is an expression that forms a specific meaning. It may be noun phrase like large house, verbal phrase like pick up, idioms, cliches or technical terms. Collocations are characterized by limited compositionality, that is, it is difficult
