Python Language Detection

Language detection is the task of identifying the natural language of a given text. There are various modules and libraries in Python that can perform this task, such as langdetect, textblob, langrid, etc.

One example is using the langdetect library, which is a port of Google’s language-detection library that supports 55 languages. Here is a code snippet that shows how to use it:

# Importing langdetect module
from langdetect import detect

# Text for language detection
text = "Bonjour le monde"

# Detecting the language
language = detect(text)

# Printing the language
print(language)

# The output of this code is:
fr

This means that the text is in French (fr) according to the ISO 639-1 codes.

Another example is using the textblob library, which is a natural language processing toolkit that also supports language detection. Here is a code snippet that shows how to use it:

# Importing textblob module
from textblob import TextBlob

# Text for language detection
text = "Hola mundo"

# Creating a TextBlob object
blob = TextBlob(text)

# Detecting the language
language = blob.detect_language()

# Printing the language
print(language)

# The output of this code is:
es

This means that the text is in Spanish (es) according to the ISO 639-1 codes.

If you have any questions about this code, you can drop a line in comment.

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