Automatic segmentation of continuous text using statistical appr

Details Automatic segmentation of continuous text using statistical appr Automatic segmentation of continuous text using statistical appr

1996-09-04

1998-09-08

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

704 1, 704257, 707531, G06F 1727, G06F 1720

Patent

active

058060219

ABSTRACT:
An automatic segmenter for continuous text segments such text in a rapid, consistent and semantically accurate manner. Two statistical methods for segmentation of continuous text are used. The first method, called "forward-backward matching", is easy and fast but can produce occasional errors in long phrases. The second method, called "statistical stack search segmenter", utilizes statistical language models to generate more accurate segmentation output at an expense of two times more execution time than the "forward-backward matching" method. In some applications where speed is a major concern, "forward-backward matching" can be used, while in other applications where highly accurate output is desired, "statistical stack search segmenter" is ideal.

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