How To Use Google Cloud Translation API
Posted on Jun 14, 2018 in Project Code • 10 min read
Google Cloud Translation API¶
Here is the code I used to translate the LTN corpora.
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import pandas as pd
import numpy as np
from google.cloud import translate
Explicitly set Google Authentication Credentials¶
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import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="PATH TO FILE"
Instantiate the Google translation client¶
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translate_client = translate.Client()
target='en'
Read in the wrangled results from web scraping¶
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df = pd.read_excel('liberty_results_wrangled.xlsx')
text = df['articleCH']
translatedEN =[]
failed = []
Notes when using Google Translation API¶
- set daily maximum quota to unlimited
- there is a user rate limit --> use
time.sleep()to buffer the quota instead rerunning the whole thing
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for idx, article in enumerate(text2):
print('Now at article ' + str(idx))
try:
translation = translate_client.translate(article, target_language=target)
translatedEN.append(translation['translatedText'])
except Exception as e:
print(e)
translatedEN.append('ao654vm0')
failed.append(idx)
time.sleep(100)
Create column in dataframe to store results¶
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df['translatedEN'] = translatedEN
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df.head()