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Alexis Nasr
macaon2
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tagparse
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20
AC
Aloui_Dary
alexis
classifier
error_predictor
fixhelp
ignore_punct
johannes
libmacaon2
maca_common
maca_graph_parser
maca_trans_frame_parser
master
default
protected
morpho
new_config
partial_parser
perceptron
refactor
silvio
ssrnn
20 results
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Created with Raphaël 2.2.0
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A fix to allow user to give empty WE file
Corrected a bug where decoder printed gold features twice
Now using fasttext for word_emb representation
Corrected a bug
Now using a dico for every feature
Added a null terminaison to some buffer to avoid overflow when using strtok on an uninitialized buffer
Fixed a bug where forward and backward classifiers were not saved
MLP now use dev set
Multi Layer Perceptron now works with dummy classifiers like forward and backtracker
Multi layer perceptron works, but needs some improvements to perform better
maca_tm_decode is now able to run with multi layer perceptron, but is bugged.
mcf2fann done
Training with Multi Layer Perceptron is OK
Some changes to facilitate uncomming MLP commit
reconciling with master
added a verbose mode to maca_check_projectivity
added maca_check_projectivity that computes the ratio of non projective dependencies in a mcf file
maca_trans_attach_punct.c a tool for determining position of attachement for punctuation
fixed a bug (initialization of punct_label variable) in context.c
new movement called IGNORE to skip words in the buffer, used for punctuation
added movement ignore
We can now use TM states whose sole purpose is to advance forward or backward in the buffer
added roots2fann.c a tool that creates fann files from scene descriptions and verbs
minor changes in mcf2json, the root dependency has -1 as a governor
maj
AC
AC
Merge branch 'master' into AC
fixed a bug in cff2fann
fixed a bug in word.h
fixed a bug in word.h
fixed some details in mcf2json modified tokenizer to ignore comments
modified mcf2json so that it creates a directory with json files in it
Lemma is now predicted in morpho state (just after the tagger)
added three different features to words : SPEAKER DIRECORY FILE
Using the LEMMA dic from tape_alphabets.dic for lemma lookup instead of FORM, also feeding the LEMMA dic with every lemma from fplm. This improves lemma prediction by a lot.
Fixed word_get_gov so that it now return the expected value when word is NULL
construct the MLP structure automatically from a file
initial commit
initial commit
initial commit
Merge branch 'master' into classifier
classifier
classifier
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