(12/12/11 22:58), Matthew Willson wrote:
Hi all
At Swiftkey we've developed a lot of expertise in language modelling in the
course of developing
predictive text entry products. We're now increasingly looking to solve
information retrieval
problems using related techniques, and have identified Lucene 4 as a potential
basis for this work.
Ours aren't standard web search applications though. We face some
interesting challenges in incorporating NLP techniques into a scalable search
architecture, and from
our work so far it's clear that a fair amount of custom development will be
necessary on top of
Lucene. So we're reaching out for advice -- to help us avoid engineering
pitfalls, speed up our
understanding of relevant Lucene internals and extension points, and to ensure
we make the best use
of existing work in the Lucene ecosystem.
For the right person this is something we're happy to pay for, either as
commercial support, a
consulting gig or potentially a full-time role out of our London office
surrounded by a great
engineering team full of NLP experts.
We're also keen to give back to the Lucene community and open to discussion
around open-sourcing
some of the results of our work, potentially sponsoring specific pieces of
feature development where
we can identify a piece of work which fits into the community roadmap.
Do get in touch with p...@swiftkey.net if this sounds interesting to you, or
anyone else you know!
Cheers,
-Matthew
Hi Matthew,
Just an FYI, I'm one of persons who believe Lucene 4 is convenient for
developing NLP tools,
as I've experienced developing a NLP tool that automatically obtains synonym
knowledge from
dictionary corpus:
http://soleami.com/blog/lucene-4-is-super-convenient-for-developing-nlp-tools.html
http://www.slideshare.net/KojiSekiguchi/wikipediasolr
koji
--
http://soleami.com/blog/lucene-4-is-super-convenient-for-developing-nlp-tools.html
