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https://issues.apache.org/jira/browse/HIVEMALL-146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takuya Kitazawa closed HIVEMALL-146.
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Resolution: Done
> Implement yet another UDF to generate n-grams from a list of words
> ------------------------------------------------------------------
>
> Key: HIVEMALL-146
> URL: https://issues.apache.org/jira/browse/HIVEMALL-146
> Project: Hivemall
> Issue Type: New Feature
> Reporter: Takuya Kitazawa
> Assignee: Takuya Kitazawa
>
> Hive has {{ngrams()}} function to obtain n-grams of a list of words:
> https://cwiki.apache.org/confluence/display/Hive/StatisticsAndDataMining#StatisticsAndDataMining-ngrams()andcontext_ngrams():N-gramfrequencyestimation
> While the existing function returns "estimated" top-k list of frequent
> n-grams, NLP applications sometimes need to get "exact" list of n-grams which
> include all of 1-, 2-, ..., n-grams. To give an example, for an input
> \["machine", "learning"\], we might expect to get the following result:
> \["machine", "learning", "machine learning"\].
> Hence, this ticket requests to implement yet another UDF something like
> {{ngrams()}}. Implementation could be similar to {{getNgrams()}} in the
> Stanford CoreNLP library:
> https://github.com/stanfordnlp/CoreNLP/blob/d6318a0cb06dba635550477bc843952cc5a5f868/src/edu/stanford/nlp/util/StringUtils.java#L2132-L2142
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