Langdetect Mistook Text as Nepali

Langdetect Mistook Text as Nepali | Generated by AI

Home 2025.08

Ah, I see — thanks for clarifying.

In the log you pasted:

Debug: raw langdetect output: [('ne', 0.9999953270916105)]
Debug: normalized langdetect output: [('ne', 0.9999953270916105)]
Debug: Detected languages: [('ne', 0.9999953270916105)]

Here ne is not the French word — it’s actually a language code emitted by langdetect.

The langdetect library sometimes returns "ne" as the ISO 639-1 code for Nepali.

"en" = English
"fr" = French
"hi" = Hindi
"ne" = Nepali

So in this case, langdetect thought your text was Nepali with probability ~0.99999.

That’s why your validation failed with:

Translated text does not contain the target language 'hi' (detected: [('ne', 0.9999953270916105)])

👉 To summarize:

ne here = ISO language code Nepali, not the French negation word "ne".
It shows up when langdetect decides your input looks like Nepali.

Do you want me to show you how to normalize or remap ne (Nepali) in your _map_target_code so your validator doesn’t choke when unexpected languages pop up?

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