But before getting into the concept and approaches related to meaning representation, we need to understand the building blocks of semantic system. Semantic analysis creates a representation of the meaning of a sentence. The scope of antonymy is as follows −Īpplication of property or not − Example is ‘life/death’, ‘certitude/incertitude’Īpplication of scalable property − Example is ‘rich/poor’, ‘hot/cold’Īpplication of a usage − Example is ‘father/son’, ‘moon/sun’. It is the relation between two lexical items having symmetry between their semantic components relative to an axis. Examples are ‘author/writer’, ‘fate/destiny’. It is the relation between two lexical items having different forms but expressing the same or a close meaning. In that case it would be the example of homonym because the meanings are unrelated to each other. For example, if we talk about the same word “Bank”, we can write the meaning ‘a financial institution’ or ‘a river bank’.
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The main difference between them is that in polysemy, the meanings of the words are related but in homonymy, the meanings of the words are not related. The building in which such an institution is located.īoth polysemy and homonymy words have the same syntax or spelling. For example, the word “bank” is a polysemy word having the following meanings − In other words, we can say that polysemy has the same spelling but different and related meaning. It is a word or phrase with different but related sense. Polysemy is a Greek word, which means “many signs”. For example, the word “Bat” is a homonymy word because bat can be an implement to hit a ball or bat is a nocturnal flying mammal also. It may be defined as the words having same spelling or same form but having different and unrelated meaning. For example, the word color is hypernym and the color blue, yellow etc. Here the generic term is called hypernym and its instances are called hyponyms. It may be defined as the relationship between a generic term and instances of that generic term. Elements of Semantic Analysisįollowings are some important elements of semantic analysis − Hyponymy That is why the job, to get the proper meaning of the sentence, of semantic analyzer is important. For example, analyze the sentence “Ram is great.” In this sentence, the speaker is talking either about Lord Ram or about a person whose name is Ram. The most important task of semantic analysis is to get the proper meaning of the sentence. In the second part, the individual words will be combined to provide meaning in sentences. Studying the combination of individual words It is the first part of the semantic analysis in which the study of the meaning of individual words is performed. That is why semantic analysis can be divided into the following two parts − Studying meaning of individual word
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We already know that lexical analysis also deals with the meaning of the words, then how is semantic analysis different from lexical analysis? Lexical analysis is based on smaller token but on the other side semantic analysis focuses on larger chunks. The work of semantic analyzer is to check the text for meaningfulness.
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The purpose of semantic analysis is to draw exact meaning, or you can say dictionary meaning from the text.