ALIGNING HIERARCHAL AND SEQUENTIAL DOCUMENT TREES TO IDENTIFY PARALLEL DATA

Patent №

US 7,805,289

Granted

2010-09-28

Filed 2006

Owner

MICROSOFT CORPORATION

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11483941

A set of candidate parallel pages is identified based on trigger words in one or more pages downloaded from a given network location (such as a website). A set of document trees representing each of the candidate pages are aligned to identify translationally parallel content and hyperlinks. The parallel content is further fed into conventional sentence aligner for parallel sentences. And the parallel hyperlinks usually refer to other parallel documents, and lead to a recursive mining of parallel documents.

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation0.99
Vision0.25
AI hardware0.01
Speech0.01
Evolutionary computation0.00
Planning0.00

Ownership

MICROSOFT CORPORATION

assignment · 181880639

Assignors

ZHOU, MING, NIU, CHENG, SHI, LEI

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

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