| commit | b1032200256cb3e15461548b5deb16b670611a7b | [log] [tgz] |
|---|---|---|
| author | feldmueller <feldmueller@posteo.de> | Tue Feb 11 09:02:09 2025 +0100 |
| committer | feldmueller <feldmueller@posteo.de> | Tue Feb 11 09:02:09 2025 +0100 |
| tree | 7cc3c642a4724034e08d653ee1d947d5e853d711 | |
| parent | 8b16977598153ae586de7edd83582ed5f37c2333 [diff] |
add script to create vocab counts based on focus corpus Change-Id: I84dc39ce8230fc61b6e2c31b963dd2f2cce51aab
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
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
dereko2vec -train new.traindata -output new.rocksdb -type 5 -window 5 -threads 8 -binary 1 -iter 1 -read-vocab old.vocab -sample 0 -min-count 0 dereko2vec -train new.traindata -output .temp.rocksdb -type 5 -window 5 -threads 8 -binary 1 -iter 1 -save-vocab new_focus.vocab -sample 0 -min-count 0 rm -rf .temp.rocksdb python scripts/merge_vocabs.py old.vocab new_focus.vocab new.vocab
@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}} }