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Code Switch is a NLP tool can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
We used LinCE dataset for training multilingual BERT model using huggingface transformers. LinCE
has four language mixed data. We took three of it spanish-english
, hindi-english
and nepali-english
. Hope we will train and add other language and task too.
spa-eng
for spanish-englishhin-eng
for hindi-englishnep-eng
for nepali-englishpip install codeswitch
from codeswitch.codeswitch import LanguageIdentification
lid = LanguageIdentification('spa-eng')
# for hindi-english use 'hin-eng',
# for nepali-english use 'nep-eng'
text = "" # your code-mixed sentence
result = lid.identify(text)
print(result)
from codeswitch.codeswitch import POS
pos = POS('spa-eng')
# for hindi-english use 'hin-eng'
text = "" # your mixed sentence
result = pos.tag(text)
print(result)
from codeswitch.codeswitch import NER
ner = NER('spa-eng')
# for hindi-english use 'hin-eng'
text = "" # your mixed sentence
result = ner.tag(text)
print(result)
from codeswitch.codeswitch import SentimentAnalysis
sa = SentimentAnalysis('spa-eng')
sentence = "El perro le ladraba a La Gatita .. .. lol #teamlagatita en las playas de Key Biscayne este Memorial day"
result = sa.analyze(sentence)
print(result)
# [{'label': 'LABEL_1', 'score': 0.9587041735649109}]
FAQs
Code Switch is a NLP tool can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
We found that codeswitch demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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