72Maksim03/Armenian-Character-Network
A Python project that extracts and visualizes character co-occurrence networks from Armenian literary texts. It uses a multilingual NER model to identify characters and an LLM API for name normalization, then builds and visualizes a network graph showing character relationships.
A pipeline for Armenian Named Entity Recognition (NER) and network analysis. Downloads Armenian text data, preprocess...
A Python package for collecting, processing, and normalizing a Western Armenian language corpus. It provides a full E...
A demonstration repository for a pre-trained Armenian text embedding model, showcasing applications in text classific...
AzgIntel is an AI-powered NLP pipeline for Armenian text classification using a BERT-based multilingual model. It pro...
A rule-based morphological analyzer for Modern Eastern Armenian built with uniparser-morph. It performs full morpholo...
A Python tool for sentiment analysis on Armenian literary texts from the Eastern Armenian National Corpus (EANC). It ...