TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).
torch tutorial and paper implementation mainly about NLP
Curated list of publicly available parallel corpus for Indian Languages
An effective and simple tool to calculate SacreBLEU, Token-BLEU, BLEU w/ compound splitting for fairseq
Machine translation using the seq2seq model
nlpNatural Language Processing MAterial
The goal of this challenge is to build a machine translation model to translate sentences from Yorùbá language to English language in several domains like news articles, daily conversations, spoken dialog transcripts and books.
Machine translation application from English to Turkish with LSTM.
This project translates English to French with deep learning models.
Translating English text to Hindi using translator
📚🧠🌐 Welcome to TextAIHub repository! Explore the fascinating realm of NLP, text generation, sentiment analysis, and beyond. Join us in propelling language understanding to new frontiers through state-of-the-art AI models and advanced techniques. Together, let's ignite a revolution in text processing! 🚀💬🌍
This Repository provides the functionality to translate sentence present in one language to another.(English to Hindi)
Essay on Machine Translation
Fuente de datos: libro AYMARA ARUSKIPAWINAKA: Conversaciones en aimara, producido por Román Pairumani Ajacopa y Alejandra Bertha Carrasco Lima, Centro de Apoyo en Investigación y Educación Multidisciplinaria – CAIEM, 2022.
The project is all about to perform language divergence among two language or ancient languages like Hindi and Sanskrit using simple parser algorithms and all the code of tokenization's and words order are written in basic C language.
Machine Translation Model Comparisons for English to French using mT5 and Llama 2
Seq2Seq model for Neural Machine Translation in Pytorch that translates German into English.
This project focuses on efficient machine translation for nine Indic languages using the fine-tuned Gemma2-2B LLM and adapter switching, reducing computational overhead. It also leverages agentic methods and the Groq API for quality assurance and accurate translation analysis between source and target segments.
Developed a Transformer Network from scratch using Pytorch for English to Persian Machine Translation- Deep Neural Network Course Project
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