| commit | e3c7e64ed480c12def993110322ed444ff3f551d | [log] [tgz] |
|---|---|---|
| author | Marc Kupietz <kupietz@ids-mannheim.de> | Mon Oct 21 18:51:21 2024 +0200 |
| committer | Marc Kupietz <kupietz@ids-mannheim.de> | Mon Oct 21 18:51:21 2024 +0200 |
| tree | 16a94041ff1f2b689ecd6cdcd97f62dbfbbf3d10 | |
| parent | b86fee04916ba37b5f1e82eda58404b82fe03ee6 [diff] |
Bump version also in source code Change-Id: I3c60e888216bc8cb0264fe3c7c68a0cc670e43f1
Fork of wang2vec with extensions for re-training and count based models, support for tokens with frequencies > 2³² and a more accurate ETA prognosis.
cd dereko2vec mkdir build cd build cmake .. make && ctest3 --extra-verbose && sudo make install
The command to build word embeddings is exactly the same as in the original version, except that we added type 5 for setting up a purely count based collocation database.
The -type argument is a integer that defines the architecture to use. These are the possible parameters:
0 - cbow
1 - skipngram
2 - cwindow (see below)
3 - structured skipngram(see below)
4 - collobert's senna context window model (still experimental)
5 - build a collocation count database instead of word embeddings
./dereko2vec -train input_file -output embedding_file -type 0 -size 50 -window 5 -negative 10 -nce 0 -hs 0 -sample 1e-4 -threads 1 -binary 1 -iter 5 -cap 0
The KorAP-XML-CoNLL-U tool can be used to generate input files for dereko2vec from KorAP-XML ZIPs using its tokenization and setence boundary information, for example:
korapxml2conllu --word2vec wpd19.zip > wpd19.w2vinput
For example:
dereko2vec -train new.traindata -output new.vecs -save-net new.net -type 3 -size 200 -window 5 -negative 10 -threads 44 -binary 1 -iter 100 -read-vocab old.vocab -read-net old.net
@InProceedings{Ling:2015:naacl, author = {Ling, Wang and Dyer, Chris and Black, Alan and Trancoso, Isabel}, title="Two/Too Simple Adaptations of word2vec for Syntax Problems", booktitle="Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", year="2015", publisher="Association for Computational Linguistics", location="Denver, Colorado", } @InProceedings{FankhauserKupietz2019, author = {Peter Fankhauser and Marc Kupietz}, title = {Analyzing domain specific word embeddings for a large corpus of contemporary German}, series = {Proceedings of the 10th International Corpus Linguistics Conference}, publisher = {University of Cardiff}, address = {Cardiff}, year = {2019}, note = {\url{https://doi.org/10.14618/ids-pub-9117}} }