🅰️⇄🈂️ A LSTM/GRU-based machine translation modeling and evaluation pipeline in PyTorch

This project aims to build a Transformer from scratch and create a basic translation system from Arabic to English.

This is a simple repository on how to get started with the transformer model translation task. It uses the pre-defined models of the Transformer model and It's a simple guide on how to make your own version of Google Translate

Transformer model developed from scratch for a translation task. The design is heavily inspired by the original transformer model described in the seminal paper "Attention is All You Need".

Classic SMT and feed-forward neural networks: LT2212 V19 Assignment 4 group Rho

Archiv meiner Bachelorarbeit

Experiments on Neural Language Embeddings

The Backend service for Testing harness. Testing harness is an integrated dashboard to evaluate the capabilities of various LLM models Resources

Testing harness is an integrated dashboard to evaluate the capabilities of various LLM models

Text file language translation app that translates .txt, .csv, and .xlsx files on the local device using compact open source LLMs (no internet connection needed). Uses batch processing and token chunking which provides the ability to translate large file sizes while preserving semantic meaning across paragraphs / pages.

Use Encoder Decoder architecture with LSTM for English->German translation network

By clicking on the word see the translation

🤖 ➡︎ 🧑🏻‍🦰 Human-Like Story Generation from Caption Using Seq2Seq Model

Assyrian translation model using huggingface

Coding education project - Speech Process & NMT

Build a deep neural network with keras that functions as part of an end-to-end machine translation pipeline

🔣 ➡️ 🔠 Using IBM Watson Language Translation Service with Laravel 5

AdonisJS Lucid internationalization models.