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From Jack Krupansky <jack.krupan...@gmail.com>
Subject Re: Text dependent analyzer
Date Wed, 15 Apr 2015 12:46:34 GMT
Currently, how are you indexing sentence boundaries? Are you placing
sentences in distinct fields, leaving a position gap, or... what?

Ultimately it comes down to how you intend to query the data in a way that
respects sentence boundaries. To put it simply, whay exactly do you care
where the sentence boundaries are? Be specific, because that determines
what your queries should look like, which determines what the indexed text
should look like, which determines how the text should be analyzed.

-- Jack Krupansky

On Wed, Apr 15, 2015 at 8:12 AM, Shay Hummel <shay.hummel@gmail.com> wrote:

> Hi Ahment,
> Thank you for the reply,
> That's exactly what I am doing. At the moment, to index a document, I break
> it to sentences, and each sentence is analyzed (lemmatizing, stopword
> removal etc.)
> Now, what I am looking for is a way to create an analyzer (a class which
> extends lucene's analyzer). This analyzer will be used for index and query
> processing. It (a like the english analyzer) will receive the text and
> produce tokens.
> The Api of Analyzer requires implementing the createComponents which
> is not dependent
> on the text being analyzed. This fact is problematic since as you know the
> OpenNlp sentence breaking depends on the text it gets (OpenNlp uses the
> model files to provide spans of each sentence and then break them).
> Is there a way around it?
>
> Shay
>
> On Wed, Apr 15, 2015 at 3:50 AM Ahmet Arslan <iorixxx@yahoo.com.invalid>
> wrote:
>
> > Hi Hummel,
> >
> > You can perform sentence detection outside of the solr, using opennlp for
> > instance, and then feed them to solr.
> >
> >
> https://opennlp.apache.org/documentation/1.5.2-incubating/manual/opennlp.html#tools.sentdetect
> >
> > Ahmet
> >
> >
> >
> >
> > On Tuesday, April 14, 2015 8:12 PM, Shay Hummel <shay.hummel@gmail.com>
> > wrote:
> > Hi
> > I would like to create a text dependent analyzer.
> > That is, *given a string*, the analyzer will:
> > 1. Read the entire text and break it into sentences.
> > 2. Each sentence will then be tokenized, possesive removal, lowercased,
> > mark terms and stemmed.
> >
> > The second part is essentially what happens in english analyzer
> > (createComponent). However, this is not dependent of the text it
> receives -
> > which is the first part of what I am trying to do.
> >
> > So ... How can it be achieved?
> >
> > Thank you,
> >
> > Shay Hummel
> >
> > ---------------------------------------------------------------------
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> >
> >
>

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