Ian, thank you for your suggestions.
I have looked to the TermEnum and TermDocs, but they don't offer a
combination with terms and frequencies (used by our autocompleter class)
from a filtered set of docs.
Eventually I implemented the following solution:
- In the source index, get all terms f
There are utilities floating around for getting output from analyzers
- would that help? I think there are some in LIA, probably others
elsewhere. The idea being that you grab the stored fields from the
index, pass them through your analyzer, grab the output and use that.
Or can you do something
I'm still struggling with this.
I've tried to implement the solution mentioned in previous reply, but
unfortunately there is a blocking issue with this:
I cannot find a way to create another index from the source index in a
way that the new index has the field values in it. The only way to copy
Thank you Mike,
I have thought about that solution myself, but the problem with this
approach is that the terms still need to be modified before building the
dictionary that is feed to the spell checker.
Also, the similarity scores which are used to determine the spell
suggestions are affected
could use simply index every term with a namespace prefix like:
Q::term
where Q is the namespace and term the term?
Then when you do spell corrections, submit each candidate term with the
namespace prefix prepended
-Mike
On 11/23/2011 9:28 AM, E. van Chastelet wrote:
I currently have an id
I currently have an idea to get it done, but it's not a nice solution.
If we have an index Q with all documents for all namespaces, we first
extract the list of all terms that appear for the field namespace in Q
(this field indicates the namespace of the document).
Then, for each namespace n
