5. The apparatus of claim 1 , wherein the pattern chunk recognizing unit comprises: a rule loading module configured to read a syntax pattern dictionary file and store the syntax pattern dictionary file into a storage structure appropriate for a rule; a workspace generating module configured to generate 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; and a parsing module configured to parse the received part-of-speech tagged sentence by applying syntax pattern dictionary of the syntax pattern dictionary file to the received part-of-speech tagged sentence.
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.