Lingtrain Studio

💡 Intro

Lingtrain Studio is the ML based app for accurate texts alignment on different languages.

• Extracts parallel corpora from two texts.
• Makes the formatted parallel book from it with sentence highlighting.

⚡ Articles

• 👅 Язык твой — друг твой. Развиваем малые языки
• 🔥 Lingtrain Studio. Книги для всех, даром
• 🧩 How to create bilingual books. Part 2. Lingtrain Alignment Studio
• 📘 How to make a parallel texts for language learning. Part 1. Python and Colab version
• 🔮 Lingtrain Aligner. Приложение для создания параллельных книг, которое вас удивит
• 📌 Сам себе Гутенберг. Делаем параллельные книги

🧬 Models

Automated alignment process relies on the sentence embeddings models. Embeddings are multidimensional vectors of a special kind which are used to calculate a distance between the sentences. You can also plug your own model using the interface described in models directory. Supported languages list depends on the selected backend model.

• distiluse-base-multilingual-cased-v2
  • more reliable and fast
  • moderate weights size — 500MB
  • supports 50+ languages
  • full list of supported languages can be found in this paper
• LaBSE (Language-agnostic BERT Sentence Embedding)
  • can be used for rare languages
  • pretty heavy weights — 1.8GB
  • supports 100+ languages
  • full list of supported languages can be found here
• SONAR (Sentence-level multimOdal and laNguage-Agnostic Representations)
  • Supports about 200 languages (approximately these)
  • A large model (3 GB of weights)
  • Ideally, requires you to indicate the source language explicitly
  • Was originally released at facebookresearch/SONAR based on fairseq2, but here uses a HuggingFace port.

💻 Running on local machine

You can run the application on your computer using docker. Make sure that docker is installed by typing the docker version command in your console.

docker-compose

1. docker-compose build

2. docker-compose up

Docker Hub

1. Images configured to run locally are available on Docker Hub.

2. Run the following commands in your console:

   • docker pull lingtrain/studio:v7.2
   • docker run -v C:\app\data:/app/data -v C:\app\img:/app/static/img -p 80:80 lingtrain/studio:v7.2

3. App will be available in your browser on the localhost address.

4. If you need to run the container on another port (e.g. localhost:8081):

   • Change the API_URL parameter in config.js
   • Rebuild the docker container
   • Start it with changed -p parameter (e.g. -p 8081:80)

🔨 Running in development mode

Clone this repo on your machine.

Backend

Flask/uwsgi backend REST API service. It contains all the alignment logic.

• Go to the backend directory

  • cd /backend

• Install the requirements

  • pip install -r requirements.txt

• Run the backend application

  • python main.py

Frontend

SPA. Vue + vuex + vuetify. UI for managing alignment process using BE and a tool for translators to edit processing documents.

• Go to the frontend directory

  • cd /frontend

• Install the requirements

  • npm install -f

• Compile and run with hot-reloads for development

  • npm run serve

Application will be available on localhost:8080

✉️ Feedback

You can create an issue or send me a message in telegram: @averkij

🔑 License

This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International license. See LICENSE.