Skip to main content

CrystalBLEU score implementation.

Project description

CrystalBLEU

Install

Install the requirements:

pip install crystalbleu

Usage

from collections import Counter
# Import CrystalBLEU
from crystalbleu import corpus_bleu

# Extract trivially shared n-grams
k = 500
frequencies = Counter(tokenized_corpus)
trivially_shared_ngrams = dict(frequencies.most_common(k))

# Calculate CrystalBLEU
crystalBLEU_score = corpus_bleu(
    references, candidates, ignoring=trivially_shared_ngrams)

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

crystalbleu-0.1.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

crystalbleu-0.1-py2.py3-none-any.whl (12.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file crystalbleu-0.1.tar.gz.

File metadata

  • Download URL: crystalbleu-0.1.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.24.0

File hashes

Hashes for crystalbleu-0.1.tar.gz
Algorithm Hash digest
SHA256 334828cf3f4f45b0ab94a52cbb0f950ac2b684db1e61ebb1d28e21c791ccd43b
MD5 42c69945e3ab4362aac359e1ec53006c
BLAKE2b-256 9c5af347e30ebdcf1090b104c839ea668ad5c285d48ecdc9e0cf86afaf6ede1c

See more details on using hashes here.

File details

Details for the file crystalbleu-0.1-py2.py3-none-any.whl.

File metadata

  • Download URL: crystalbleu-0.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 12.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.24.0

File hashes

Hashes for crystalbleu-0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 24833eb0f7e1c02a53a86603df35a3045142425b07e490233536290972af0a40
MD5 b63d0ccc2a56fbe0a29e3d5e8d55fd40
BLAKE2b-256 f4c1bd1d9e5b4fbad470af977b77b0ab48bde56048fa25f1f4d8698dcce46f57

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page