A grammar checker is a software that detects and corrects misused words on phrases. Such programs are now available in all major word processing systems. However, most grammar checkers show high performance only in the detection of isolated word error...
A grammar checker is a software that detects and corrects misused words on phrases. Such programs are now available in all major word processing systems. However, most grammar checkers show high performance only in the detection of isolated word errors; their utility for context dependent errors is quite low, which involve correctly spelled words used incorrectly within a particular sentence. The detection of context sensitive errors is a relatively more complex process that requires grammar checkers to analyze surrounding contexts.
Korean grammar checkers typically detect context sensitive errors by employing heuristic rules; these rules are appended by language experts and appended each time a new error pattern is detected. Such grammar checkers, unfortunately, are inconsistent with recall, the fraction of errors that are detected. In order to resolve this shortcoming, statistical method that correct context sensitive spelling error, is proposed.
The method consists of two phases: calculate the number of context word that chi-square value with error word and corresponding word greater than the threshold. Compare the number of context word that exceed the threshold, determine whether the error or not error. If the number of the context word is same, compare the maximum chi-square value, determine whether the error or not error.
The proposed grammar checker’s performance was evaluated on the basis of 3 confusion pairs using recall and precision, measures that have their origins in the field of information retrieval. The precision of the proposed method, as compared with that of the typical grammar checker, was lower, but its recall was higher.
본 논문에서는 기존에 상용화되어 있는 한국어 맞춤법 검사기에서 사용하는 규칙 기반 문맥상 철자오류 교정 방법의 재현율을 극적으로 향상시켜 실용성을 높여보고자 통계적 방법을 이용...
본 논문에서는 기존에 상용화되어 있는 한국어 맞춤법 검사기에서 사용하는 규칙 기반 문맥상 철자오류 교정 방법의 재현율을 극적으로 향상시켜 실용성을 높여보고자 통계적 방법을 이용한 문맥 기반 오류 교정 방법을 제안하였다.
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