Difference between revisions of "Freeling"
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* Extraction of multiword units into <code>locucion.dat</code> file. |
* Extraction of multiword units into <code>locucion.dat</code> file. |
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==Installing from SVN== |
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See [http://garraf.epsevg.upc.es/freeling/doc/userman/html/node13.html their docs]. For the configure stage on a Mac, I had to use: |
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env LDFLAGS=-L/opt/local/lib CPPFLAGS=-I/opt/local/include ./configure |
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==External links== |
==External links== |
Revision as of 14:45, 7 October 2009
Freeling is a suite of language processing tools, including a tokeniser, sentence splitter, morphological analyser, sense tagger, named-entity recogniser, chunker and dependency parser, etc. It is used for example in the Spanish→Basque MT system Matxin. Much of the work of the suite is also done in lttoolbox, constraint grammar and apertium, but in some cases data or tools from Freeling could be useful to apertium, and data from apertium could be useful to Freeling.
Tools
There are some scripts in apertium SVN (module apertium-tools/freeling
) for converting between apertium formats and Freeling formats.
dix-to-maco.py
-- Convert between an lttoolbox expanded dictionary and a Freeling 'maco' format full-form list.tagger-to-freeling.py
-- Convert between the output ofapertium-tagger
to Freeling style tagged output.freeling-to-tagger.py
-- Convert Freeling tagged output to apertium tagged output.
Both scripts require a file with correspondences between apertium tags and PAROLE style tags. The following mappings exist:
br-tags.parole.txt
-- Mappings between apertium tags and PAROLE tags for Bretoncy-tags.parole.txt
-- Mappings between apertium tags and PAROLE tags for Welshes-tags.parole.txt
-- Mappings between apertium tags and PAROLE tags for Spanish
Examples
Say for example we want to analyse and tag a text with apertium format, and then convert to Freeling format in order to perform a chunking.
$ echo "Bro gozh ma zadoù" | lt-proc br-fr.automorf.bin | cg-proc br-fr.rlx.bin | apertium-tagger -p -g br-fr.prob ^Bro/Bro<n><f><sg>$ ^gozh/kozh<adj><mf><sp>$ ^ma/ma<det><pos><mf><sp>$ ^zadoù/tad<n><m><pl>$ $ echo "Bro gozh ma zadoù" | lt-proc br-fr.automorf.bin | cg-proc br-fr.rlx.bin | apertium-tagger -p -g br-fr.prob | \ tagger-to-freeling.py parole-tags.txt Bro Bro NCFSV0 gozh kozh AQ0CN0 ma ma DP0CN0 zadoù tad NCMPV0 $ echo "Bro gozh ma zadoù" | lt-proc br-fr.automorf.bin | cg-proc br-fr.rlx.bin | apertium-tagger -p -g br-fr.prob | \ tagger-to-freeling.py parole-tags.txt | fl-chunker -f br.cfg sn_[ +grup-n_[ +(Bro Bro NCFSV0 -) (gozh kozh AQ0CN0 -) ] ] det_[ +(ma ma DP0CN0 -) ] grup-n_[ +(zadoù tad NCMPV0 -) ] ]
Or perhaps we want to analyse and tag directly with a Freeling analyser generated from an lttoolbox dictionary:
$ echo "Bro gozh ma zadoù" | fl-morph -f br.cfg Bro bro NCFSV0 0.992647 0.00735294 gozh kozh AQ0CN0 0.975 0.025 ma ma NCMSV0 0.934028 ma DP0CN0 0.0590278 ma CS 0.00347222 0.00347222 zadoù tad NCMPV0 0.992647 0.00735294 $ echo "Bro gozh ma zadoù" | fl-morph -f br.cfg | fl-tagger -f br.cfg Bro bro NCFSV0 0.992647 gozh kozh AQ0CN0 0.975 ma ma NCMSV0 0.934028 zadoù tad NCMPV0 0.992647
(Note: In this example, the tagging is erroneous, resulting from a poorly trained HMM).
Todo
- Extraction of multiword units into
locucion.dat
file.
Installing from SVN
See their docs. For the configure stage on a Mac, I had to use:
env LDFLAGS=-L/opt/local/lib CPPFLAGS=-I/opt/local/include ./configure
External links
- FreeLing Home Page
- the Ubuntu NLP Repository contains a packaged version for Debian-based distributions.