Polyglot is a natural language pipeline that supports massive multilingual applications.
- Free software: GPLv3 license
- Documentation: http://polyglot.readthedocs.org.
- Tokenization (165 Languages)
- Language detection (196 Languages)
- Named Entity Recognition (40 Languages)
- Part of Speech Tagging (16 Languages)
- Sentiment Analysis (136 Languages)
- Word Embeddings (137 Languages)
- Morphological analysis (135 Languages)
- Transliteration (69 Languages)
- Rami Al-Rfou @
rmyeid gmail com
import polyglot
from polyglot.text import Text, Wordtext = Text("Bonjour, Mesdames.")
print("Language Detected: Code={}, Name={}\n".format(text.language.code, text.language.name))Language Detected: Code=fr, Name=French
zen = Text("Beautiful is better than ugly. "
"Explicit is better than implicit. "
"Simple is better than complex.")
print(zen.words)[u'Beautiful', u'is', u'better', u'than', u'ugly', u'.', u'Explicit', u'is', u'better', u'than', u'implicit', u'.', u'Simple', u'is', u'better', u'than', u'complex', u'.']
print(zen.sentences)[Sentence("Beautiful is better than ugly."), Sentence("Explicit is better than implicit."), Sentence("Simple is better than complex.")]
text = Text(u"O primeiro uso de desobediência civil em massa ocorreu em setembro de 1906.")
print("{:<16}{}".format("Word", "POS Tag")+"\n"+"-"*30)
for word, tag in text.pos_tags:
print(u"{:<16}{:>2}".format(word, tag))O DET primeiro ADJ uso NOUN de ADP desobediência NOUN civil ADJ em ADP massa NOUN ocorreu ADJ em ADP setembro NOUN de ADP 1906 NUM . PUNCT
text = Text(u"In Großbritannien war Gandhi mit dem westlichen Lebensstil vertraut geworden")
print(text.entities)[I-LOC([u'Gro\xdfbritannien']), I-PER([u'Gandhi'])]
print("{:<16}{}".format("Word", "Polarity")+"\n"+"-"*30)
for w in zen.words[:6]:
print("{:<16}{:>2}".format(w, w.polarity))word = Word("Obama", language="en")
print("Neighbors (Synonms) of {}".format(word)+"\n"+"-"*30)
for w in word.neighbors:
print("{:<16}".format(w))
print("\n\nThe first 10 dimensions out the {} dimensions\n".format(word.vector.shape[0]))
print(word.vector[:10])Bush Reagan Clinton Ahmadinejad Nixon Karzai McCain Biden Huckabee Lula
The first 10 dimensions out the 256 dimensions
- [-2.57382345 1.52175975 0.51070285 1.08678675 -0.74386948 -1.18616164
2.92784619 -0.25694436 -1.40958667 -2.39675403]
word = Text("Preprocessing is an essential step.").words[0]
print(word.morphemes)[u'Pre', u'process', u'ing']
from polyglot.transliteration import Transliterator
transliterator = Transliterator(source_lang="en", target_lang="ru")
print(transliterator.transliterate(u"preprocessing"))препрокессинг