Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

Overview

Lingtrain Alignment Studio

asd

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.

  1. Make sure that docker is installed by typing the docker version command in your console.

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

  3. Run the following commads in your console:

    • docker pull lingtrain/aligner:v6
    • docker run -v C:\app\data:/app/data -v C:\app\img:/app/static/img -p 80:80 lingtrain/aligner:v6
    • Use lingtrain/aligner:v6-labse for LaBSE version (109 languages).
  4. App will be available in your browser on the localhost address.

  5. 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'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.

Creative Commons License

Owner
Sergei Averkiev
Software Engineer. Eager to learn languages and machine learning approaches. Live in Moscow.
Sergei Averkiev
Avocado hass time series vs predict price

AVOCADO HASS TIME SERIES VÀ PREDICT PRICE Trước khi vào Heroku muốn giao diện đẹp mọi người chuyển giúp mình theo hình bên dưới https://avocado-hass.h

hieulmsc 3 Dec 18, 2021
MICOM is a Python package for metabolic modeling of microbial communities

Welcome MICOM is a Python package for metabolic modeling of microbial communities currently developed in the Gibbons Lab at the Institute for Systems

57 Dec 21, 2022
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.

Miles Cranmer 924 Jan 03, 2023
Real-time stream processing for python

Streamz Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelin

Python Streamz 1.1k Dec 28, 2022
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions

ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions, in particular, the posterior distributions of Bayesian models in

Computational Data Science Lab 182 Dec 31, 2022
A Lightweight Hyperparameter Optimization Tool 🚀

The mle-hyperopt package provides a simple and intuitive API for hyperparameter optimization of your Machine Learning Experiment (MLE) pipeline.

Robert Lange 137 Dec 02, 2022
This is the code repository for LRM Stochastic watershed model.

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

1 Feb 14, 2022
Simplify stop motion animation with machine learning.

Simplify stop motion animation with machine learning.

Nick Bild 25 Sep 15, 2022
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S

Seldon 3.5k Jan 01, 2023
Distributed Computing for AI Made Simple

Project Home Blog Documents Paper Media Coverage Join Fiber users email list Uber Open Source 997 Dec 30, 2022

Decision Tree Regression algorithm implemented on Python from scratch.

Decision_Tree_Regression I implemented the decision tree regression algorithm on Python. Unlike regular linear regression, this algorithm is used when

1 Dec 22, 2021
Turns your machine learning code into microservices with web API, interactive GUI, and more.

Turns your machine learning code into microservices with web API, interactive GUI, and more.

Machine Learning Tooling 2.8k Jan 02, 2023
Machine-learning-dell - Repositório com as atividades desenvolvidas no curso de Machine Learning

📚 Descrição Neste curso da Dell aprofundamos nossos conhecimentos em Machine Learning. 🖥️ Aulas (Em curso) 1.1 - Python aplicado a Data Science 1.2

Claudia dos Anjos 1 Jan 05, 2022
CobraML: Completely Customizable A python ML library designed to give the end user full control

CobraML: Completely Customizable What is it? CobraML is a python library built on both numpy and numba. Unlike other ML libraries CobraML gives the us

Sriram Govindan 14 Dec 19, 2021
Free MLOps course from DataTalks.Club

MLOps Zoomcamp Our MLOps Zoomcamp course Sign up here: https://airtable.com/shrCb8y6eTbPKwSTL (it's not automated, you will not receive an email immed

DataTalksClub 4.6k Dec 31, 2022
Machine Learning for Time-Series with Python.Published by Packt

Machine-Learning-for-Time-Series-with-Python Become proficient in deriving insights from time-series data and analyzing a model’s performance Links Am

Packt 124 Dec 28, 2022
Lightning ⚡️ fast forecasting with statistical and econometric models.

Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni

Nixtla 2.1k Dec 29, 2022
whylogs: A Data and Machine Learning Logging Standard

whylogs: A Data and Machine Learning Logging Standard whylogs is an open source standard for data and ML logging whylogs logging agent is the easiest

WhyLabs 2k Jan 06, 2023
Learn how to responsibly deliver value with ML.

Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit

Goku Mohandas 32k Dec 30, 2022
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

alkaline-ml 1.3k Jan 06, 2023