Python binding for CRF++
pip install pycrfpp
from pycrfpp import Tagger
# -v 3: access deep information like alpha,beta,prob
# -nN: enable nbest output. N should be >= 2
tagger = Tagger("-m ../model -v 3 -n2")
# clear internal context
tagger.clear()
# add context
tagger.add("Confidence NN")
tagger.add("in IN")
tagger.add("the DT")
tagger.add("pound NN")
tagger.add("is VBZ")
tagger.add("widely RB")
tagger.add("expected VBN")
tagger.add("to TO")
tagger.add("take VB")
tagger.add("another DT")
tagger.add("sharp JJ")
tagger.add("dive NN")
tagger.add("if IN")
tagger.add("trade NN")
tagger.add("figures NNS")
tagger.add("for IN")
tagger.add("September NNP")
print(f"column size: {tagger.xsize()}")
print(f"token size: {tagger.size()}")
print(f"tag size: {tagger.ysize()}")
print("tagset information:")
ysize = tagger.ysize()
for i in range(0, ysize - 1):
print("tag {i} {tagger.yname(i)}")
tagger.parse()
print(f"conditional prob={tagger.prob()} log(Z)={tagger.Z()}")
size = tagger.size()
xsize = tagger.xsize()
for i in range(0, (size - 1)):
for j in range(0, (xsize-1)):
print(tagger.x(i, j) , "\t")
print(tagger.y2(i) , "\t")
print("Details")
for j in range(0, (ysize-1)):
print("\t" , tagger.yname(j) , "/prob=" , tagger.prob(i,j),"/alpha=" , tagger.alpha(i, j),"/beta=" , tagger.beta(i, j))
print("\n"),
print("nbest outputs:")
for n in range(0, 9):
if not tagger.next():
continue
print("nbest n=" , n , "\tconditional prob=" , tagger.prob())
# you can access any information using tagger.y()...
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Release files for pycrfpp 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycrfpp-0.1.0.tar.gz | 8.1 kB | Details |
Built distributions (wheels)
Total release size: 7.2 MB
Release files / pycrfpp-0.1.0.tar.gz
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|---|---|
| Size | 8.1 kB |
| Tags | Source |
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Release files / pycrfpp-0.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pycrfpp-0.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl |
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Release files / pycrfpp-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pycrfpp-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-cp312-cp312-musllinux_1_1_x86_64.whl |
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| Download URL | pycrfpp-0.1.0-cp312-cp312-macosx_10_9_x86_64.whl |
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Release files / pycrfpp-0.1.0-cp39-cp39-macosx_10_9_universal2.whl
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Release files / pycrfpp-0.1.0-cp38-cp38-musllinux_1_1_x86_64.whl
| Download URL | pycrfpp-0.1.0-cp38-cp38-musllinux_1_1_x86_64.whl |
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No |
| Uploaded via |
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Release files / pycrfpp-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
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Release files / pycrfpp-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | pycrfpp-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Release files / pycrfpp-0.1.0-cp38-cp38-macosx_10_9_universal2.whl
| Download URL | pycrfpp-0.1.0-cp38-cp38-macosx_10_9_universal2.whl |
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| Size | 178.0 kB |
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No |
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Release files / pycrfpp-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl
| Download URL | pycrfpp-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl |
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| Size | 656.1 kB |
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No |
| Uploaded via |
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Release files / pycrfpp-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pycrfpp-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 137.6 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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No |
| Uploaded via |
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Release files / pycrfpp-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | pycrfpp-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl |
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| Size | 97.4 kB |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
