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HOME > Research > Natural Language Processing    
 

Natural Language Processing

 

 Natural language processing is the research that aims to automate our everyday language activities in all possible forms. The ultimate objective of this research is to develop a computer program that can read, write, listen, and speak like a human being.

In order to carry out Natural language processing, a series of analytic processes regarding the language we use must be performed. Morphological analysis refers to an operation that divides words in a sentence into the smallest linguistic unit with semantic meaning (a morpheme). Parts-of-speech tagging is an operation that groups each word into already-defined specific categories (parts of speech) such as noun, verb, and adjective. Because a word can act as different parts of speech depending on how it is used in a sentence, simply arranging the word with its corresponding part of speech cannot solve this problem.

 

 Parsing is a method that finds the grammatical structure of a given sentence by analyzing the sentence. Through Parsing, a vast amount of information can be obtained, including grammatical information about the given sentence. Parsing also serves as the base for most programs that apply Natural language processing. Natural language processing is applied in many different areas. Machine Translation is the automatic translation of any written words into a different language. Information Retrieval automatically retrieves the information a user wishes to find from a variety of texts. Text Categorization is an operation that finds and classifies the subjects of a given text, and Clustering is an operation that groups together texts or data with similar contents. These applications can greatly help our everyday lives.