An Amharic News Text classification Dataset
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Updated
May 17, 2024 - Jupyter Notebook
An Amharic News Text classification Dataset
A toolset for Amharic Language pre-processing. Includes an Amharic Stemmer, Transliterator, Stopword remover , Lexical analyzer, Corpus indexer and Term weighter.
AmQA - The first Amharic Open Domain Question Answering Dataset
This repository contains implementations of various Natural Language Processing (NLP) tasks and tools specifically for the Amharic language using Java. The goal is to provide a comprehensive set of tools to facilitate NLP research and development for Amharic.
Amharic RAG Ad Builder is an open-source project that delivers a powerful Retrieval-Augmented Generation (RAG) pipeline tailored for creating engaging Amharic text advertisements on Telegram channels. It leverages advanced language models to generate contextually relevant ads, enhancing advertising strategies for the Ethiopian market.
This repository contains the MSc thesis project titled "A Generic Multitask Summarizer for Amharic Text Documents". The project addresses the challenges of information overload and automatic text analysis by providing a versatile and parameterizable framework for extractive text summarization.
Projects related to Amharic NLP
collection of some interesting personal projects. Afaratlas , Amharic-NLP,General-NLP,Generative-Learning-algorithms,RL
Interact with your PDFs through natural language queries. Optimized for Amharic with native Geez script support, this tool combines document analysis with Google's Gemini AI for intelligent insights. Securely manage sessions with Redis. Modern interface meets robust backend processing for seamless file interactions. Ask questions, get answers.
Repository for different programs related to NLP
የቁጥር ምላሾች የተሰጡባቸውን የአማርኛ ቃላዊ ጥያቄዎች እና በእንግሊዝኛ እና በአማርኛ የተደረጉ የውይይት ልውውጦችን የያዘ የዳታ ስብስብ። የአማርኛ ቋንቋን የመረዳት እና የማመንጨት ችሎታ ያላቸውን የተፈጥሮ ቋንቋ ማቀነባበሪያ (NLP) ሞዴሎችን ለማሰልጠን እና ለመገምገም ጠቃሚ ነው።(A dataset of Amharic word problems with numeric answers and English–Amharic dialogues—ideal for training and evaluating Amharic NLP models.)
A collection of Ethiopian names
Amharic Context Aware Spell Checker
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