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<DIV>Indeed, if none of the above mentioned approaches work for your
purpose. You can have your corpora POS-tagged (if they are not) and quite
conveniently retrieve Verb+ particle with Regular Expressions in text editors
like Powergrep or Editpad Pro, or some other Reg-supporting concordancers like
AntConc.</DIV>
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<DIV><B>From:</B> <A
href="mailto:corpora-request@uib.no">corpora-request</A></DIV>
<DIV><B>Date:</B> 2013-06-17 18:00</DIV>
<DIV><B>To:</B> <A href="mailto:corpora@uib.no">corpora</A></DIV>
<DIV><B>Subject:</B> Corpora Digest, Vol 72, Issue 15</DIV></DIV></DIV>
<DIV>
<DIV>Today's Topics:</DIV>
<DIV> </DIV>
<DIV> 1. Re: Looking for corpus tool/software to extract phrasal</DIV>
<DIV> verbs (Phil Gooch)</DIV>
<DIV> </DIV>
<DIV> </DIV>
<DIV>----------------------------------------------------------------------</DIV>
<DIV> </DIV>
<DIV>Message: 1</DIV>
<DIV>Date: Mon, 17 Jun 2013 10:57:54 +0100</DIV>
<DIV>From: Phil Gooch <philgooch@gmail.com></DIV>
<DIV>Subject: Re: [Corpora-List] Looking for corpus tool/software to</DIV>
<DIV>extract phrasal verbs</DIV>
<DIV>To: "corpora@uib.no" <corpora@uib.no></DIV>
<DIV> </DIV>
<DIV>If you use GATE, you could try the predicate phrase chunker at</DIV>
<DIV>https://github.com/philgooch/BioPred--Biomedical-Predicate-VerbGroup-Chunker</DIV>
<DIV>although this was developed for biomedical texts, it might work in other</DIV>
<DIV>contexts. You can then use the GATE Orthomatcher to extract co-occurrences.</DIV>
<DIV> </DIV>
<DIV>Otherwise, if you are using Python, you could write some rules using the</DIV>
<DIV>CliPs library, http://www.clips.ua.ac.be/pages/pattern-search</DIV>
<DIV> </DIV>
<DIV>Phil</DIV>
<DIV> </DIV>
<DIV> </DIV>
<DIV>On Mon, Jun 17, 2013 at 9:48 AM, LEUNG, Maggie SN [12901991r] <</DIV>
<DIV>maggie.sn.leung@connect.polyu.hk> wrote:</DIV>
<DIV> </DIV>
<DIV>> Dear Corpora-List users,</DIV>
<DIV>></DIV>
<DIV>> I would like to have your recommendation on any corpus linguistics tool</DIV>
<DIV>> or software which can be used to automatically extract all co-occurrences</DIV>
<DIV>> of any verb + particle combinations (irrespective of whether a particle is</DIV>
<DIV>> adverbial or prepositional) from a corpus. The corpus is about 9 million</DIV>
<DIV>> words.</DIV>
<DIV>></DIV>
<DIV>></DIV>
<DIV>> Thanks and best regards,</DIV>
<DIV>> Maggie</DIV>
<DIV>></DIV>
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<DIV>End of Corpora Digest, Vol 72, Issue 15</DIV>
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