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 fine-tuning Transformers 🤗 based seq2seq speech models in JAX/Flax.

Seq2Seq Speech in JAX A JAX/Flax repository for combining a pre-trained speech encoder model (e.g. Wav2Vec2, HuBERT, WavLM) with a pre-trained text de

Sanchit Gandhi 21 Dec 14, 2022
A collection of GNN-based fake news detection models.

This repo includes the Pytorch-Geometric implementation of a series of Graph Neural Network (GNN) based fake news detection models. All GNN models are implemented and evaluated under the User Prefere

SafeGraph 251 Jan 01, 2023
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Zhenhailong Wang 2 Jul 15, 2022
Exploration of BERT-based models on twitter sentiment classifications

twitter-sentiment-analysis Explore the relationship between twitter sentiment of Tesla and its stock price/return. Explore the effect of different BER

Sammy Cui 2 Oct 02, 2022
Semi-automated vocabulary generation from semantic vector models

vec2word Semi-automated vocabulary generation from semantic vector models This script generates a list of potential conlang word forms along with asso

9 Nov 25, 2022
AI_Assistant - This is a Python based Voice Assistant.

This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.

1 Jan 06, 2022
A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework.

Unpacker Karton Service A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework. This project is

c3rb3ru5 45 Jan 05, 2023
This is a GUI program that will generate a word search puzzle image

Word Search Puzzle Generator Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing Cont

11 Feb 22, 2022
A python package for deep multilingual punctuation prediction.

This python library predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.

Oliver Guhr 27 Dec 22, 2022
iBOT: Image BERT Pre-Training with Online Tokenizer

Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.

Bytedance Inc. 435 Jan 06, 2023
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

GAN stability This repository contains the experiments in the supplementary material for the paper Which Training Methods for GANs do actually Converg

Lars Mescheder 884 Nov 11, 2022
Longformer: The Long-Document Transformer

Longformer Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ***** New December 1st, 2020: Longforme

AI2 1.6k Dec 29, 2022
Kurumi ChatBot

KurumiChatBot Just another Telegram AI chat bot written in Python using Pyrogram. A public running instance can be found on telegram as @TokisakiChatB

Yoga Pranata 3 Jun 28, 2022
🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

🤗 🖼️ HuggingPics Fine-tune Vision Transformers for anything using images found on the web. Check out the video below for a walkthrough of this proje

Nathan Raw 185 Dec 21, 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
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa

THUHCSI 138 Oct 28, 2022
Sapiens is a human antibody language model based on BERT.

Sapiens: Human antibody language model ____ _ / ___| __ _ _ __ (_) ___ _ __ ___ \___ \ / _` | '_ \| |/ _ \ '

Merck Sharp & Dohme Corp. a subsidiary of Merck & Co., Inc. 13 Nov 20, 2022
A curated list of FOSS tools to improve the Hacker News experience

Awesome-Hackernews Hacker News is a social news website focusing on computer technologies, hacking and startups. It promotes any content likely to "gr

Bryton Lacquement 141 Dec 27, 2022
Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

Jifan Chen 22 Oct 21, 2022