[jira] [Assigned] (OPENNLP-1261) Lang Detect fails to predict language on long input texts
[ https://issues.apache.org/jira/browse/OPENNLP-1261?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joern Kottmann reassigned OPENNLP-1261: --- Assignee: Joern Kottmann > Lang Detect fails to predict language on long input texts > - > > Key: OPENNLP-1261 > URL: https://issues.apache.org/jira/browse/OPENNLP-1261 > Project: OpenNLP > Issue Type: Improvement >Reporter: Joern Kottmann >Assignee: Joern Kottmann >Priority: Major > > If the input text is very long, e.g. 100k chars, then the lang detect > component fails to detect the language correctly, even though the text is > only written in one language. > This issue was tracked down to the context generator, where the count of the > ngrams are ignored. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (OPENNLP-1261) Language Detector fails to predict language on long input texts
[ https://issues.apache.org/jira/browse/OPENNLP-1261?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joern Kottmann updated OPENNLP-1261: Component/s: Language Detector Summary: Language Detector fails to predict language on long input texts (was: Lang Detect fails to predict language on long input texts) > Language Detector fails to predict language on long input texts > --- > > Key: OPENNLP-1261 > URL: https://issues.apache.org/jira/browse/OPENNLP-1261 > Project: OpenNLP > Issue Type: Improvement > Components: Language Detector >Reporter: Joern Kottmann >Assignee: Joern Kottmann >Priority: Major > > If the input text is very long, e.g. 100k chars, then the lang detect > component fails to detect the language correctly, even though the text is > only written in one language. > This issue was tracked down to the context generator, where the count of the > ngrams are ignored. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (OPENNLP-1261) Lang Detect fails to predict language on long input texts
[ https://issues.apache.org/jira/browse/OPENNLP-1261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16845904#comment-16845904 ] ASF GitHub Bot commented on OPENNLP-1261: - kottmann commented on pull request #350: OPENNLP-1261: The Language Detector should not ignore ngram counts. URL: https://github.com/apache/opennlp/pull/350 git push Thank you for contributing to Apache OpenNLP. In order to streamline the review of the contribution we ask you to ensure the following steps have been taken: ### For all changes: - [ ] Is there a JIRA ticket associated with this PR? Is it referenced in the commit message? - [ ] Does your PR title start with OPENNLP- where is the JIRA number you are trying to resolve? Pay particular attention to the hyphen "-" character. - [ ] Has your PR been rebased against the latest commit within the target branch (typically master)? - [ ] Is your initial contribution a single, squashed commit? ### For code changes: - [ ] Have you ensured that the full suite of tests is executed via mvn clean install at the root opennlp folder? - [ ] Have you written or updated unit tests to verify your changes? - [ ] If adding new dependencies to the code, are these dependencies licensed in a way that is compatible for inclusion under [ASF 2.0](http://www.apache.org/legal/resolved.html#category-a)? - [ ] If applicable, have you updated the LICENSE file, including the main LICENSE file in opennlp folder? - [ ] If applicable, have you updated the NOTICE file, including the main NOTICE file found in opennlp folder? ### For documentation related changes: - [ ] Have you ensured that format looks appropriate for the output in which it is rendered? ### Note: Please ensure that once the PR is submitted, you check travis-ci for build issues and submit an update to your PR as soon as possible. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > Lang Detect fails to predict language on long input texts > - > > Key: OPENNLP-1261 > URL: https://issues.apache.org/jira/browse/OPENNLP-1261 > Project: OpenNLP > Issue Type: Improvement >Reporter: Joern Kottmann >Priority: Major > > If the input text is very long, e.g. 100k chars, then the lang detect > component fails to detect the language correctly, even though the text is > only written in one language. > This issue was tracked down to the context generator, where the count of the > ngrams are ignored. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Created] (OPENNLP-1261) Lang Detect fails to predict language on long input texts
Joern Kottmann created OPENNLP-1261: --- Summary: Lang Detect fails to predict language on long input texts Key: OPENNLP-1261 URL: https://issues.apache.org/jira/browse/OPENNLP-1261 Project: OpenNLP Issue Type: Improvement Reporter: Joern Kottmann If the input text is very long, e.g. 100k chars, then the lang detect component fails to detect the language correctly, even though the text is only written in one language. This issue was tracked down to the context generator, where the count of the ngrams are ignored. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
