10. A method for detecting sentence boundaries, comprising: extracting, by a computer, a sentence boundary candidate from an input document; extracting features used in two or more statistical algorithms from information on preceding and following contexts of the sentence boundary candidate; classifying whether the sentence boundary candidate is a sentence boundary or not, using the features and the two or more statistical algorithms; and extracting sentence units from the document based on a result of the classification of whether the sentence boundary candidate is a sentence boundary or not, wherein the classifying of whether the sentence boundary candidate is a sentence boundary or not comprises: classifying whether the sentence boundary candidate is a sentence boundary using the extracted features and a Maximum Entropy (ME) algorithm; classifying whether the sentence boundary candidate is a sentence boundary using the extracted features and a Support Vector Machine (SVM) algorithm; classifying whether the sentence boundary candidate is a sentence boundary using the extracted features and a Critical Random Field (CRF) algorithm; and selecting an optimum classification result from classification results of the ME-based classifier, the SVM-based classifier, and the CRF-based classifier as a final classification result, using the extracted features.
14. The method of claim 10 , wherein the extracting of features comprises: extracting information on whether the sentence boundary candidate is a punctuation mark; extracting information on whether a following syllable of the sentence boundary candidate is a blank; extracting information on first to n-th preceding syllables of the sentence boundary candidate and information on first to n-th following syllables of the sentence boundary candidate; extracting information on first to n-th preceding tokens of the sentence boundary candidate and information on first to n-th following tokens of the sentence boundary candidate; and extracting information on a number of quotation marks existing between a beginning of a target sentence and the sentence boundary candidate.