MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.

Overview

MILES

Multilingual Lexical Simplifier
Explore the docs »

Read LSBert Paper · Report Bug · Request Feature

About The Project

MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking. MILES currently supports 22 languages: Arabic, Bulgarian, Catalan, Czech, Danish, Dutch, English, Finnish, French, German, Hungarian, Indonesian, Italian, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian.

As a result of not using any language-specific resources (WordNets, POS taggers, parallel corpora, etc.), MILES does not always offer synonymous substitutions for complex words. Although almost always simpler than the original, selected substitutions may alter the meaning of the text. Please keep this in mind, and feel free to download and tailor MILES to a language of your choosing!

Prerequisites

FastText Embeddings

It is recommended that fastText embeddings are downloaded for your target language/s. These will be used by MILES to make notably more accurate simplifications. To install fastText embeddings for MILES, download the .vec embeddings for you target language here. Once done, place the .vec file in simplifier/embeddings/ before running the key vector generation script with the ISO 639-1 code for the selected language:

python simplifier/embeddings/gen_keyed_vectors.py <ISO 639-1 code>

Usage

Flask App

MILES simplifications can be done using either a simple Flask app provided or the command line. To start using the Flask app, run app.py with ISO 639-1 language code:

python app.py -l <ISO 639-1 code>

Once running, open 127.0.0.1 in your browser and start simplifying!

flask app

Command Line

If you would prefer to use the command line, there are a couple of options available:

  1. Simplifying sentences:

    python simplify.py -t <sentence> -l <ISO 639-1 code>
  2. Simplifying text files:

    python simplify.py -f <text_file> -l <ISO 639-1 code>

Note: If no language code is provided, text will be simplified assuming it's English. The default language can be changed in simplifier/config.py.

Framework

flowchart

Roadmap

See the open issues for a list of proposed features (and known issues).

Contact

If you have any questions or concerns, message me on LinkedIn or email me at [email protected].

Owner
Kane
MSc Computer Science by Research student. Areas of interest include text simplification and other areas of NLP.
Kane
Repository for the paper: VoiceMe: Personalized voice generation in TTS

🗣 VoiceMe: Personalized voice generation in TTS Abstract Novel text-to-speech systems can generate entirely new voices that were not seen during trai

Pol van Rijn 80 Dec 29, 2022
Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form.

Neural G2P to portuguese language Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written for

fluz 11 Nov 16, 2022
A raytrace framework using taichi language

ti-raytrace The code use Taichi programming language Current implement acceleration lvbh disney brdf How to run First config your anaconda workspace,

蕉太狼 73 Dec 11, 2022
Rhyme with AI

Local development Create a conda virtual environment and activate it: conda env create --file environment.yml conda activate rhyme-with-ai Install the

GoDataDriven 28 Nov 21, 2022
NLPShala , the best IDE for all Natural language processing tasks.

The revolutionary IDE for all NLP (Natural language processing) stuffs on the internet.

Abhi 3 Aug 08, 2021
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

David Thorne 0 Feb 06, 2022
A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

Ian 1 Jan 15, 2022
scikit-learn wrappers for Python fastText.

skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu

Shay Palachy 233 Sep 09, 2022
ChatterBot is a machine learning, conversational dialog engine for creating chat bots

ChatterBot ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on

Gunther Cox 12.8k Jan 03, 2023
A complete NLP guideline for enthusiasts

NLP-NINJA A complete guide for Natural Language Processing in Python Table of Contents S.No. Topic Level Meaning 1 Tokenization 🤍 Beginner 2 Stemming

MAINAK CHAUDHURI 22 Dec 27, 2022
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

What is MUSE? MUSE stands for Multilingual Universal Sentence Encoder - multilingual extension (16 languages) of Universal Sentence Encoder (USE). MUS

Dani El-Ayyass 47 Sep 05, 2022
Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis

MLP Singer Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis. Audio samples are available on our demo page.

Neosapience 103 Dec 23, 2022
Stuff related to Ben Eater's 8bit breadboard computer

8bit breadboard computer simulator This is an assembler + simulator/emulator of Ben Eater's 8bit breadboard computer. For a version with its RAM upgra

Marijn van Vliet 29 Dec 29, 2022
My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per

Aflah 9 Oct 31, 2022
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.

T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep

Jeong Ukjae 13 Dec 13, 2022
Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.

背景 安装教程 快速上手 (一)预训练模型 (二)机器翻译 (三)文本分类 TenTrans 进阶 1. 多语言机器翻译 2. 跨语言预训练 背景 TrenTrans是一个统一的端到端的多语言多任务预训练平台,支持多种预训练方式,以及序列生成和自然语言理解任务。 安装教程 git clone git

Tencent Minority-Mandarin Translation Team 42 Dec 20, 2022
A number of methods in order to perform Natural Language Processing on live data derived from Twitter

A number of methods in order to perform Natural Language Processing on live data derived from Twitter

1 Nov 24, 2021
We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Voice Based Personal Assistant We have built a Voice based Personal Assistant for people to access files hands free in their device using natural lang

Rushabh 2 Nov 13, 2021
Converts text into a PDF of handwritten notes

Text To Handwritten Notes Converts text into a PDF of handwritten notes Explore the docs » · Report Bug · Request Feature · Steps: $ git clone https:/

UVSinghK 63 Oct 09, 2022
100+ Chinese Word Vectors 上百种预训练中文词向量

Chinese Word Vectors 中文词向量 中文 This project provides 100+ Chinese Word Vectors (embeddings) trained with different representations (dense and sparse),

embedding 10.4k Jan 09, 2023