vsiivola variKN issues - Githubissues

vsiivola / variKN

A toolkit for producing n-gram language models. The highlights are the implementation of Kneser-Ney growing and revised Kneser pruning methods.

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Bump actions/download-artifact from 3 to 4.1.7 in /.github/workflows

#21 dependabot[bot] closed 2 months ago
0
varikn fails to install in fedora:40 docker

#20 thfrkielikone closed 5 months ago
8
update docs

#19 vsiivola closed 1 year ago
0
Add Python packaging

#18 svirpioj closed 1 year ago
2
Update documentation "cmake --build ."

#17 NightScream39 closed 2 years ago
1
Fix issue with no unigram smoothing, thanks to Shilin Gao.

#16 vsiivola closed 3 years ago
1
Negative `uniprob` in `renormalize_backoff` results in wrong unigrams logprobs in the output

#15 slgao1010 closed 3 years ago
7
Extend simpleinterpolate to more than 2 models

#14 psmit closed 5 years ago
3
add more public methods for Perplexity class

#13 svirpioj closed 5 years ago
0
count words also in the initial LM history

#12 svirpioj closed 6 years ago
2
add missing import to use shared_ptr correctly

#11 alhoo closed 6 years ago
2
Bug fixes

#10 svirpioj closed 7 years ago
1
The sentence start "<s>" and end "</s>"

#9 navta closed 7 years ago
5
Request for feedback: First setup to limiting final ngram size

#8 psmit closed 8 years ago
5
WIP: Refactor m_kn_i3c and m_kn_ic into m_kn in VarigramFuncs

#7 psmit closed 8 years ago
0
Add two more primes to sparse_matrix.h

#6 psmit closed 8 years ago
0
Add a PYTHON2 option

#5 psmit closed 8 years ago
0
Install the binaries and swig-wrapper on make install

#4 psmit closed 8 years ago
0
make the build work with current versions of Cmake

#3 abroekhof closed 9 years ago
1
Segmentation fault when training resegmented text

#2 ammansik closed 10 years ago
5
Write perplexity and logprob with higher precision.

#1 senarvi closed 11 years ago
0