1. A syntax parsing apparatus based on preprocessing, the apparatus comprising a processor and a memory, wherein said processor comprising: a pattern chunk recognizing unit configured to receive a part-of-speech tagged sentence, recognize, from the received part-of-speech tagged sentence, a pre-defined syntax pattern, and generate, according to the recognized pre-defined syntax pattern, a recognized result; a basic noun phrase recognizing unit comprising a basic noun phrase statistics learning module configured to receive basic noun phrase (BNP) attachment corpuses, convert, based on a predetermined grammar, the received BNP attachment corpuses into learning corpuses by tagging basic noun phrases, classify, using a Finite State Transducer (FST), the learning corpuses with a parenthesis and a word, extract features from the classified learning corpuses, generate a BNP statistical model from the classified learning corpuses based on the extracted features, and store the generated BNP statistical model into the memory, and a statistics-based basic noun phrase recognizing module configured to receive the recognized result from the pattern chunk recognizing unit and the generated BNP statistical model from the memory, and recognize a BNP from an input sentence using the recognized result and the generated BNP statistical model; and a syntax parsing unit configured to receive the recognized result and the recognized BNP, parse a syntax of the input sentence based on the recognized result and the recognized BNP, and generate a syntax tree based on the parsed syntax.
1. A syntax parsing apparatus based on preprocessing, the apparatus comprising a processor and a memory, wherein said processor comprising: a pattern chunk recognizing unit configured to receive a part-of-speech tagged sentence, recognize, from the received part-of-speech tagged sentence, a pre-defined syntax pattern, and generate, according to the recognized pre-defined syntax pattern, a recognized result; a basic noun phrase recognizing unit comprising a basic noun phrase statistics learning module configured to receive basic noun phrase (BNP) attachment corpuses, convert, based on a predetermined grammar, the received BNP attachment corpuses into learning corpuses by tagging basic noun phrases, classify, using a Finite State Transducer (FST), the learning corpuses with a parenthesis and a word, extract features from the classified learning corpuses, generate a BNP statistical model from the classified learning corpuses based on the extracted features, and store the generated BNP statistical model into the memory, and a statistics-based basic noun phrase recognizing module configured to receive the recognized result from the pattern chunk recognizing unit and the generated BNP statistical model from the memory, and recognize a BNP from an input sentence using the recognized result and the generated BNP statistical model; and a syntax parsing unit configured to receive the recognized result and the recognized BNP, parse a syntax of the input sentence based on the recognized result and the recognized BNP, and generate a syntax tree based on the parsed syntax. 4. The apparatus of claim 1 , wherein the pre-defined syntax pattern is expressed, according to a syntax rule writing principle, with at least one of a section dividing recognized syntax patterns according to a syntax pattern type or a syntax chunk type, a definition (define) statement expressing and simplifying a complicated node, a virtual node tag (virtual tag) parameterizing a part of tags, a subcategory (subcat) defining a vocabulary category, and a rule including patterns and actions.