Multilingual NLP and Legal Language Models

13 repos

Pre-trained transformer models and tools for natural language processing across multiple languages (French, English, German, Spanish) with a focus on semantic similarity, sentence representation, and legal domain applications. The cluster centers on PyTorch-based models like legal-xlm variants and multilingual sentence embeddings, designed for cross-lingual understanding, paraphrase detection, and specialized tasks like sentence boundary detection. This is a resource collection for practitioners building multilingual NLP systems and legal tech applications.

de ·3,523
el ·3,523
pytorch ·3,523
fr ·3,523
endpoints_compatible ·3,523
en ·3,523
es ·3,523
hi ·3,511
ar ·3,511
ru ·3,511