How to translate other languages to English in pandas dataframe

Question:

I am having an excel file where the "value" column contains different language statements. I want to translate the entire value column into English.

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For testing purpose I’m using the below code, but it’s throwing some exception

import pandas as pd
from googletrans import Translator
exl_file = 'ipfile1.xlsx'
df = pd.read_excel(exl_file)
print(df)

translator = Translator()
df1 = df['value'].apply(translator.translate, src='es', dest='en').apply(getattr, args=('text',))
print(df1)

Can you please guide how to apply translator on each rows to convert into English?

Asked By: Nabarun Chakraborti

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Source

Answers:

You can .apply the translator to the value column like this:

df['translated_value'] = df['value'].apply(lambda x: translator.translate(x, dest='en').text)
Answered By: oh_my_lawdy

Google Translate has limits on volume translated. EasyNMT is a scalable solution.

from easynmt import EasyNMT
model = EasyNMT("opus-mt")

df["value_en"] = df.apply(lambda row: model.translate(row["value"], target_lang="en"), axis=1)
Answered By: Saurabh Khanna