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From Michael Sokolov <>
Subject Re: analyzer context during search
Date Thu, 12 Apr 2018 10:24:43 GMT
I think you can achieve what you are asking by having a field for every
possible combination of pairs of input and output. Obviously this would
explode the size of your index, so it's not ideal.

Another alternative would be indexing all variants into a single field,
using different analyzers for different inputs. Doing this requires extra
context when choosing the analyzer (our the token streams that it
generates) as you say. See
for one idea of how to accomplish this.

On Wed, Apr 11, 2018, 9:34 AM Chris Tomlinson <>

> Hello,
> I’m working on a project where it would be most helpful for
> getWrappedAnalyzer() in an extension to DelegatingAnalyzerWrapper to have
> access to more than just the fieldName.
> The scenario is that we are working with several languages: Tibetan,
> Sanskrit and Chinese; that each have several encodings, e.g., Simplified
> Chinese (zh-hans), Traditional Chinese (zh-hant), Pinyin with diacritics
> (zh-pinyin) and Pinyin without diacritics (zh-pinyin-ndia). Our data is
> from many sources which each use a variety of encodings and we wish to
> preserve the original encodings used in the data.
> For Chinese, for example, we have an analyzer that creates a TokenStream
> of Pinyin with diacritics for any of the input encodings. Thus it is
> possible in some situations to retrieve documents originally input as
> zh-hans and so on.
> The same applies to the other languages.
> One objective is to allow the user to input a query in zh-pinyin, for
> example, and to retrieve documents that were originally indexed in any of
> the variant encodings.
> The current scheme, in Apache Jena + Lucene, is to create a fieldName that
> includes the original name plus a language tag, e.g., label_zh-hans, so
> that the getWrappedAnalyzer() can then retrieve a registered analyzer for
> zh-hans that will then index using Pinyin tokens as mentioned above.
> For Chinese, we end up with documents that have four different fields:
> label_zh-hans, label_zh-hant, label_zh-pinyin, and label_zh-pinyin-ndia, so
> that when indexing we know what input encoding was used so that an
> appropriate analyzer configuration can be chosen since the analyzer has to
> be aware of the incoming encoding.
> At search time we could try a search like:
>     (label_zh-hans:a-query-in-pinyin OR label_zh-hant:a-query-in-pinyin OR
> label_zh-pinyin:a-query-in-pinyin OR label_zh-pinyin-ndia:a-query-in-pinyin)
> But this can not work since the information that the query is in zh-pinyin
> is not available to the getWrappedAnalyzer(), only the original encoding is
> available as a part of the field name and so it is not possible to know
> that the query string is in zh-pinyin so that is tokenized correctly when
> querying the other fields.
> I’m probably over-thinking things, but it seems to me that if I had a way
> of accessing additional context when choosing an analyzer so that there
> would be information that the query string is in pinyin and the various
> field names are available as usual.
> I don’t see how a custom query analyzer would help here. We would know
> that the context of the call to the analyzer wrapper was for query versus
> indexing but we still don’t know the field name versus the encoding of the
> query.
> I imagine this sort of scenario has been solved by others numerous times
> but I’m stumped as to how to implement.
> Thanks in advance for any help,
> Chris

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