Patent Document ID: 9971757
Application ID: 15445333

Base Claim:
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.

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Claim 7:
7. The apparatus of claim 1 , wherein the syntax parsing unit is configured to minimize a syntax parsing error caused by error propagation in a part-of-speech tagging step using a result of 1-best path part-of-speech tagging or n-best part-of-speech tagging.