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Alexis Nasr
macaon2
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master
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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
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modification de json2mcf et mcf2json pour la prise en compte du statut des annotations. Les annotations corrigées par les annotateurs sont identifiées, ainsi que les annotations automatiques reconnues comme erronées
master
master
ajout de fonctions pour éliminer ou ajouter un mot dans un mcf, utlisation de ces fonctions pour la conversion json2mcf
adding ignore file
johannes
johannes
added fields DIRECTORY and FILE in mcd files
Added --singleroot option to ensure a tree is produced
partial_parser
partial_parser
Merge branch 'master' of gitlab.lis-lab.fr:alexis.nasr/macaon2
modified sentence segmentation by the parser. The sentence segmentation is now provoked by a root action
ajout features morpho (M1-M24), résolution probleme pour l'ajout de chaine de caractère longues dans un dico, ajout d'otpion -N dans maca_tm_train pour indiquer dans quels fichiers écrire le modele et la structure du NN
Aloui_Dary
Aloui_Dary
fixed bug in movements.c
Corrected a problem where context->fp was set when we didn't want it
Corrected a bug with vocabularies
corrected a bug where a feature could be ignored
Neural network topology is no longer specified inthe code
Corrected a bug in the one hot representation
Corrected a bug where EOS did not pop the stack
Improved the way we delete duplicates examples
fixed a bug in parser oracle concerning action IGNORE
ignore_punct
ignore_punct
Removing duplicates examples only for tagger and parser
Added a way to delete duplicates training examples
fixed few bugs in conll_lib
Added the new features tc1 tc2 tc3 tc4
fine tuned mlp parameters for a good baseline
Fixed a bug where movement left arc was declared possible even when we finished reading the buffer
Added minor functionnalities to multi layer perceptron
Added a way to know if a transition is possible before taking it, so we take only possible transitions
Added a way to oversample the training dataset
tape_alphabets is now created using a TM
Added a new executable to create tape_alphabets.dic
Corrected a bug where array values were used but not set
Enabled shuffling of training examples
Making sure we use the same seed for all experiments
bug fixing in maca_corpora
added several tools to manipulate corpora in maca_corpora as well as conll2mcf
Added a way to ensure neural network shape is not changing during decoding
Made the shuffling of the training dataset optionnal
We now use less memory by only storing the current batch input of the dnn in memory
Created a class to represent a fann file in memory
Changed the way the machine change state after an invalid movement.
Added more info to debug mode in maca_tm_decoder. We are now able to see movement choices and scores.
scf2fann now correctly builds tape_alphabets
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