Abstract: A method is provided for parsing text in a corpus. The method includes hypothesizing a possible new entry for a dictionary based on a first segment of text. A successful parse is then formed for the first segment of text using the possible new entry. Based on the successful parse, the dictionary is changed to include the new entry. The new entry in the dictionary is then used to parse a second segment of text.

Abstract: A method is provided for parsing text in a corpus. The method includes hypothesizing a possible new entry for a dictionary based on a first segment of text. A successful parse is then formed for the first segment of text using the possible new entry. Based on the successful parse, the dictionary is changed to include the new entry. The new entry in the dictionary is then used to parse a second segment of text.

Abstract: A word segmentation method to identify proper names in input text includes locating a sequence of single-characters in the input text not forming part of a multiple-character word. The method further includes comparing the sequence of single-characters to a lexical knowledge base to identify if a first portion of the sequence corresponds to stored identifiable portions of a proper name, and comparing the sequence of single-characters to the lexical knowledge base to identify if a second portion of the sequence proximate the first portion includes characters known to comprise a second portion of a proper name. Instructions can be provided on a computer readable medium to implement the method.

Abstract: The present invention segments a non-segmented input text. The input text is received and segmented based on parameter values associated with parameterized word formation rules. In one illustrative embodiment, the input text is processed into a form which includes parameter indications, but which preserves the word-internal structure of the input text. Thus, the parameter values can be changed without entirely re-processing the input text.

Abstract: The present invention provides a facility for selecting from a sequence of natural language characters combinations of characters that may be words. The facility uses indications, for each of a plurality of characters, of (a) the characters that occur in the second position of words that begin with the character and (b) the positions in which the character occurs in words. For each of a plurality of contiguous combinations of characters occurring in the sequence, the facility determines whether the character occurring in the second position of the combination is indicated to occur in words that begin with the character occurring in the first position of the combination. If so, the facility determines whether every character of the combination is indicated to occur in words in a position in which it occurs in the combination. If so, the facility determines that the combination of characters may be a word.

Abstract: The present invention provides a facility for selecting from a sequence of natural language characters combinations of characters that may be words. The facility uses indications, for each of a plurality of characters, of (a) the characters that occur in the second position of words that begin with the character and (b) the positions in which the character occurs in words. For each of a plurality of contiguous combinations of characters occurring in the sequence, the facility determines whether the character occurring in the second position of the combination is indicated to occur in words that begin with the character occurring in the first position of the combination. If so, the facility determines whether every character of the combination is indicated to occur in words in a position in which it occurs in the combination. If so, the facility determines that the combination of characters may be a word.

Abstract: A method and apparatus are provided that identify confused characters in a text written in a language having a large number of distinct characters. To identify the confused characters, a set of characters from the text are segmented into individual characters. A confusable character for at least one of the segmented characters is then retrieved. Lexical information is identified for both the segmented characters and the retrieved confusable characters and is used to parse the segmented characters and the confusable characters. Based on the parse, a segmented character is identified that has been confused with a confusable character.

Abstract: A word segmentation method to identify proper names in input text includes locating a sequence of single-characters in the input text not forming part of a multiple-character word. The method further includes comparing the sequence of single-characters to a lexical knowledge base to identify if a first portion of the sequence corresponds to stored identifiable portions of a proper name, and comparing the sequence of single-characters to the lexical knowledge base to identify if a second portion of the sequence proximate the first portion includes characters known to comprise a second portion of a proper name. Instructions can be provided on a computer readable medium to implement the method.