alvations/lightyear

lightyear

To infinity and beyond...

Install

pip install -U lightyear

Usage

Typical Hyp + Ref Setup

[in]:

from lightyear import Buzz

hyp = 'The dog bit the man.'
ref = 'The dog had bit the man.'

buzz = Buzz()
buzz.score(hyp, ref)

[out]:

{'bert_score': 94.1470742225647,
 'bleu_score': 51.15078115793242,
 'comet_score': 100,
 'sentbert_score': 94.68643069267273,
 'chrf_score': 67.64711450656517,
 'ter_score': 16.666666666666664}

Hyp + Ref + Src setup

[in]:

from lightyear import Buzz

src = 'The dog bit the man.'
hyp = 'Hund Mann gebissen.'
ref = 'Der Hund hatte den Mann gebissen.'

buzz = Buzz(metrics='all', trg_lang='de', lowercase=True)

print(buzz.score(hyp, ref))
print(buzz.score(hyp, ref, src))

[out]:

{'bert_score': 77.92478203773499, 'bleu_score': 30.18153515504547, 'comet_score': 17.846399545669556, 'sentbert_score': 95.38536667823792, 'chrf_score': 51.512405379593574, 'ter_score': 50.0}
{'bert_score': 77.92478203773499, 'bleu_score': 30.18153515504547, 'comet_score': 6.618038564920425, 'sentbert_score': 95.38536667823792, 'chrf_score': 51.512405379593574, 'ter_score': 50.0}

Only fast metrics

[in]:

from lightyear import Buzz

buzz = Buzz(metrics='fast', lowercase=True)

with open('hyp.txt') as hfin, open('ref.txt') as rfin:
    for hyp, ref in zip(hfin, rfin):
        print(buzz.score(hyp, ref))

{'bleu_score': 11.631736348831648, 'chrf_score': 25.66796545720479, 'ter_score': 100.0}
{'bleu_score': 21.3643503198117, 'chrf_score': 38.2883972133884, 'ter_score': 75.0}

Using Machine Translators

[in]:

from lightyear.translators import HelsinkiMarianTranslator
from lightyear.translators import M2MTranslator
from lightyear.translators import NLLBTranslator

hema = HelsinkiMarianTranslator()
print(hema.translate('en', 'de', 'I am pregnant'))
print(hema.translate('de', 'zh', 'Ich bin schwanger'))

print()

m2m = M2MTranslator()
print(m2m.translate('en', 'de', 'I am pregnant'))
print(m2m.translate('de', 'zh', 'Ich bin schwanger'))

print()

nllb = NLLBTranslator()
print(nllb.translate('eng_Latn', 'deu_Latn', 'I am pregnant'))
print(nllb.translate('deu_Latn', 'zho_Hans', 'Ich bin schwanger'))

[out]:

Ich bin schwanger
我怀孕了 我怀孕了

Ich bin schwanger.
我怀孕了

Ich bin schwanger.
我怀孕了