Method and System of Selecting Word Sequence for Text Written in Language Without Word Boundary Markers

Patent №

US 8,510,099

Granted

2013-08-13

Filed 2010

Owner

ALIBABA GROUP HOLDING LIMITED

Lab

AI components

2

nlp · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12746889

The present disclosure discloses a method and apparatus of selecting a word sequence for a text written in a language without word boundary in order to solve the problem of having excessively large computation load when selecting an optimal word sequence in existing technologies. The disclosed method includes: segmenting a segment of the text to obtain different word sequences; determining a common word boundary for the word sequences; and performing optimal word sequence selection for portions of the word sequences prior to the common word boundary. Because optimal word sequence selection is performed for portions of word sequences prior to a common word boundary, shorter independent units can be obtained, thus reducing computation load of word segmentation.

Natural languageSpeechG06F 40/129G06F 40/205G06F 40/289

AI classification

Natural language1.00
Speech1.00
Knowledge representation0.42
Machine learning0.34
Vision0.25
Planning0.17
AI hardware0.08
Evolutionary computation0.00

Ownership

ALIBABA GROUP HOLDING LIMITED

assignment · 245030289

Assignors

DAI, NENG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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