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Posted to issues@opennlp.apache.org by "Boris Galitsky (Resolved) (JIRA)" <ji...@apache.org> on 2012/03/22 18:26:22 UTC
[jira] [Resolved] (OPENNLP-414) Measure of phrase meaningfulness by
web mining and search results similarity
[ https://issues.apache.org/jira/browse/OPENNLP-414?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Boris Galitsky resolved OPENNLP-414.
------------------------------------
Resolution: Fixed
evaluated and tests passed
> Measure of phrase meaningfulness by web mining and search results similarity
> -----------------------------------------------------------------------------
>
> Key: OPENNLP-414
> URL: https://issues.apache.org/jira/browse/OPENNLP-414
> Project: OpenNLP
> Issue Type: New Feature
> Components: Similarity
> Reporter: Boris Galitsky
> Assignee: Boris Galitsky
> Attachments: patch.OPENNLP-414.txt
>
>
> State-of-art speech recognition systems like Nuance, Dragon, Google, etc give a set of speech-to-text results, some of them are meaningful, and some are not. This component does semantic confirmation/rejection of speech recognition candidates based on their presence on the web. This is one more application of Similarity component to solve problems which are hard to tackle otherwise.
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