A sentence aligner for comparable corpora

Related tags

Text Data & NLPyalign
Overview

About

Yalign is a tool for extracting parallel sentences from comparable corpora.

Statistical Machine Translation relies on parallel corpora (eg.. europarl) for training translation models. However these corpora are limited and take time to create. Yalign is designed to automate this process by finding sentences that are close translation matches from comparable corpora. This opens up avenues for harvesting parallel corpora from sources like translated documents and the web.

Installation

Yalign requires that you install scikit-learn.

After that you can install Yalign from PyPi via pip:

sudo pip install yalign

Usage

Firstly we need to download and unpack the english to spanish model.

wget https://raw.githubusercontent.com/machinalis/yalign/develop/data/models/0.1/en-es.tar.gz
tar -xvzf en-es.tar.gz

Now we can use the yalign-align script along with the english to spanish model to align two web pages.

yalign-align en-es http://en.wikipedia.org/wiki/Antiparticle http://es.wikipedia.org/wiki/Antipart%C3%ADcula

Yalign is not limited to any one language pair. By creating your own models you can align any two languages. For more details on how to use yalign and on yalign's implementation please read the docs.

The Yalign Team:

Yalign is a Machinalis project. You can view our other open source contributions here.

Andrew Vine
Gonzalo García Berrotarán
Rafael Carrascosa
Elías Andrawos
Laura Alonso Alemany
Owner
Machinalis
Machinalis
Weakly-supervised Text Classification Based on Keyword Graph

Weakly-supervised Text Classification Based on Keyword Graph How to run? Download data Our dataset follows previous works. For long texts, we follow C

Hello_World 20 Dec 29, 2022
Mapping a variable-length sentence to a fixed-length vector using BERT model

Are you looking for X-as-service? Try the Cloud-Native Neural Search Framework for Any Kind of Data bert-as-service Using BERT model as a sentence enc

Han Xiao 11.1k Jan 01, 2023
A library for finding knowledge neurons in pretrained transformer models.

knowledge-neurons An open source repository replicating the 2021 paper Knowledge Neurons in Pretrained Transformers by Dai et al., and extending the t

EleutherAI 96 Dec 21, 2022
Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Fast (GAN Based Neural) Vocoder Chinese README Todo Submit demo Support NHV Discription Include MelGAN, HifiGAN and Multiband-HifiGAN, maybe include N

Zhengxi Liu (刘正曦) 134 Dec 16, 2022
What are the best Systems? New Perspectives on NLP Benchmarking

What are the best Systems? New Perspectives on NLP Benchmarking In Machine Learning, a benchmark refers to an ensemble of datasets associated with one

Pierre Colombo 12 Nov 03, 2022
Mkdocs + material + cool stuff

Modern-Python-Doc-Example mkdocs + material + cool stuff Doc is live here Features out of the box amazing good looking website thanks to mkdocs.org an

Francesco Saverio Zuppichini 61 Oct 26, 2022
NLP-SentimentAnalysis - Coursera Course ( Duration : 5 weeks ) offered by DeepLearning.AI

Coursera Natural Language Processing Specialization This repository contains material related to Coursera Natural Language Processing Specialization.

Nishant Sharma 1 Jun 05, 2022
GSoC'2021 | TensorFlow implementation of Wav2Vec2

GSoC'2021 | TensorFlow implementation of Wav2Vec2

Vasudev Gupta 73 Nov 28, 2022
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio

Machine Translation @ UPC 21 Dec 20, 2022
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

huybery 60 Dec 31, 2022
Levenshtein and Hamming distance computation

distance - Utilities for comparing sequences This package provides helpers for computing similarities between arbitrary sequences. Included metrics ar

112 Dec 22, 2022
Reformer, the efficient Transformer, in Pytorch

Reformer, the Efficient Transformer, in Pytorch This is a Pytorch implementation of Reformer https://openreview.net/pdf?id=rkgNKkHtvB It includes LSH

Phil Wang 1.8k Dec 30, 2022
DiY Oxygen Concentrator based on the OxiKit

M19O2 DiY Oxygen Concentrator based on / inspired by the OxiKit, OpenOx, Marut, RepRap and Project Apollo platforms. About Read about the project on H

Maker's Asylum 62 Dec 22, 2022
AMUSE - financial summarization

AMUSE AMUSE - financial summarization Unzip data.zip Train new model: python FinAnalyze.py --task train --start 0 --count how many files,-1 for all

1 Jan 11, 2022
Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

KB-NER: a Knowledge-based System for Multilingual Complex Named Entity Recognition The code is for the winner system (DAMO-NLP) of SemEval 2022 MultiC

116 Dec 27, 2022
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning English | 中文 ❗ Now we provide inferencing code and pre-training models

164 Jan 02, 2023
An Explainable Leaderboard for NLP

ExplainaBoard: An Explainable Leaderboard for NLP Introduction | Website | Download | Backend | Paper | Video | Bib Introduction ExplainaBoard is an i

NeuLab 319 Dec 20, 2022
Built for cleaning purposes in military institutions

Ferramenta do AL Construído para fins de limpeza em instituições militares. Instalação Requer python = 3.2 pip install -r requirements.txt Usagem Exe

0 Aug 13, 2022
Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"

TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Created by Jiahao Pang, Duanshun Li, and Dong Tian from InterDigital In

InterDigital 21 Dec 29, 2022
Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5

NLP-Summarizer Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5 This project aimed to provide in

Samuel Sharkey 1 Feb 07, 2022