Freeling
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. Much of this is also done in lttoolbox and apertium, but in some cases data or tools from Freeling could be useful.
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-parole.py
-- Convert between the output ofapertium-tagger
to Freeling style tagged output.
Both scripts require a file with correspondences between apertium tags and PAROLE style tags.
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 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 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).