danielnavabarba
/

EDAN20-language-detector

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EDAN20 Language Detector

Language identification models developed for Assignment 4 of EDAN20 Language Technology at Lund University.

The system uses hashed character unigrams, bigrams and trigrams to classify text into eight languages.

Files

nld.joblib: scikit-learn model
nld_vectorizer.joblib: feature vectorizer
nld_lang_codes.joblib: language label mapping
nld.pth: PyTorch model weights

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