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translation-quality-estimator

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0.1.1 translation_quality_estimator-0.1.1-py3-none-any.whl

Wheel Details

Project: translation-quality-estimator
Version: 0.1.1
Filename: translation_quality_estimator-0.1.1-py3-none-any.whl
Download: [link]
Size: 4898
MD5: 2a30f42a45927063997d6cd069e21094
SHA256: 4f7b22aff97de63be0306e63e60c9f02ece9603e1af7eeb31fe7ba2f3e1a2795
Uploaded: 2020-11-14 19:31:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: translation-quality-estimator
Version: 0.1.1
Summary: To estimate the quality of translation
Author: Rishav Ray
Author-Email: rishavray29[at]gmail.com
Home-Page: https://github.com/theRay07/Translation-Quality-Estimator
License: MIT
Keywords: nlp bert translation quality estimator
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Requires-Dist: sentence-transformers (>=0.3.8)
Description-Content-Type: text/markdown
[Description omitted; length: 2493 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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tqe/embedding/transformer_emb.py sha256=gRpMcw7GcPouuTsOh4gGIfyD-2i2I2k5tTLevdEkhXw 664
tqe/similarity/cosine_similarity.py sha256=S7vmhGA3OLpfozGQNa_dnAcGMeV3Gv2z8RrIHyb4aH4 395
translation_quality_estimator-0.1.1.dist-info/LICENSE sha256=mssdcgWHjk_K4N1Dslq-DqnFO3iKqgPZPMiaxL4Mu48 1087
translation_quality_estimator-0.1.1.dist-info/METADATA sha256=DLyRXdx4d9UFQsJtzQYCLSvIozsQ2TJcBivb-ErdslA 3287
translation_quality_estimator-0.1.1.dist-info/WHEEL sha256=D1Wh14kWDxPnrM-5t_6UCB-UuQNrEODtRa3vF4OsvQY 97
translation_quality_estimator-0.1.1.dist-info/top_level.txt sha256=aalp-SQY-Ina_4ebEKiv63_LmK38-Y9JeMo8wxkPh-8 33
translation_quality_estimator-0.1.1.dist-info/RECORD — —

top_level.txt

tqe
tqe/embedding
tqe/similarity