other,16-3-C94-1026,ak same <term> concepts </term> , ideas , <term> entities </term> , and <term> events </term> . <term> Simulated
tech,0-4-C94-1026,ak entities </term> , and <term> events </term> . <term> Simulated annealing approach </term> is used to implement this <term> alignment
tech,9-2-C94-1026,ak translation-based criterion </term> , a <term> part-of-speech-based criterion </term> is proposed . We postulate that <term>
other,2-1-C94-1026,ak <term> homophone errors </term> . To align <term> bilingual texts </term> becomes a crucial issue recently
other,19-3-C94-1026,ak ideas , <term> entities </term> , and <term> events </term> . <term> Simulated annealing approach
other,6-3-C94-1026,ak postulate that <term> source texts </term> and <term> target texts </term> should share the same <term> concepts
other,7-6-C94-1026,ak importantly , the experimental objects are <term> Chinese-English texts </term> , which are selected from different
other,15-6-C94-1026,ak which are selected from different <term> language families </term> . In <term> optical character recognition
other,12-3-C94-1026,ak texts </term> should share the same <term> concepts </term> , ideas , <term> entities </term> , and
other,3-3-C94-1026,ak </term> is proposed . We postulate that <term> source texts </term> and <term> target texts </term> should
tech,8-4-C94-1026,ak approach </term> is used to implement this <term> alignment algorithm </term> . The preliminary experiments show
tech,3-2-C94-1026,ak issue recently . Rather than using <term> length-based or translation-based criterion </term> , a <term> part-of-speech-based criterion
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