Lingtrain Alignment Studio

Intro

Lingtrain Alignment 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 highlightning.

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 depend 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

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.
Images configured to run locally are available on Docker Hub.
Run the following commads in your console: docker pull lingtrain/aligner:habr docker run -p 80:80 lingtrain/aligner:habr
App will be available in your browser on the localhost address.

Running in development mode

Clone this repo on your machine.

Backend

Flask/uwsgi backend REST API service. It's pretty simple and contains all the alignment logic.

cd /be python main.py

Frontend

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

cd /fe

Setup

npm install

Compile and run with hot-reloads for development

npm run serve

Feedback

You can crate 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.

ochebotar/a-studio