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Date: Mon, 19 Dec 2011 15:09:30 +0000 (UTC)
From: "Boris Galitsky (Updated) (JIRA)" <jira@apache.org>
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Subject: [jira] [Updated] (OPENNLP-414) Measure of phrase meaningfulness by
 web mining and search results similarity
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     [ https://issues.apache.org/jira/browse/OPENNLP-414?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Boris Galitsky updated OPENNLP-414:
-----------------------------------

    Attachment: patch.OPENNLP-414.txt

one more unique application of Similarity component to the problem of semantic filtering of speech recognition results
                
> 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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