13. The method of claim 9 , wherein the generating a recognized result comprises: reading a syntax pattern dictionary file and storing the syntax pattern dictionary file into a storage structure appropriate for a rule; generating a workspace including at least one of an active chart (achart), agenda, a first inactive chart (ichart), inactive agenda (igenda), a set of terminal nodes, a set of non-terminal nodes, and a result of parsing; applying syntax pattern dictionary of the syntax pattern dictionary file to the received part-of-speech tagged sentence; and parsing the received part-of-speech tagged sentence.
9. A syntax parsing method based on syntax pre-processing, the method performed by a syntax parsing apparatus comprising a processor and a memory, the method comprising: receiving a part-of-speech tagged sentence; recognizing, from the received part-of-speech tagged sentence, a pre-defined syntax pattern; generating, according to the recognized pre-defined syntax pattern, a recognized result; receiving basic noun phrase (BNP) attachment corpuses, converting, based on a predetermined grammar, the received BNP attachment corpus into learning corpuses by tagging basic noun phrases; classifying, using a Finite State Transducer (FST), the learning corpuses with a parenthesis and a word; extracting features from the classified learning corpuses; generating a BNP statistical model from the classified learning corpuses based on the extracted features; storing the generated BNP statistical model into the memory; recognizing a BNP from an input sentence using the recognized result and the generated BNP statistical model stored in the memory; parsing a syntax of the input sentence based on the recognized result and the recognized BNP; and generating a syntax tree based on the parsed syntax.