Khasi-English Semantic Search Model
First production-ready semantic search model for Khasi-English language pairs.
Overview
This model enables semantic search between English and Khasi languages, supporting Northeast India's linguistic diversity. Trained on 66,794 English-Khasi translation pairs.
Use Cases
- Cross-lingual semantic search (English ↔ Khasi)
- Document similarity in bilingual contexts
- Cultural content discovery for Northeast India
- Educational language learning tools
Performance
- English-Khasi similarity: 0.69-0.74
- Model size: ~90MB (lightweight deployment)
- 384-dimensional embeddings
Quick Start
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('MWirelabs/khasi-english-semantic-search')
sentences = ['Hello', 'hangne', 'Good morning']
embeddings = model.encode(sentences)
Developed by MWirelabs for Northeast India AI innovation.
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