Lingtrain Aligner — ML powered library for the accurate texts alignment.

Related tags

Text Data & NLPlingtrain-aligner
Overview

Lingtrain Aligner

ML powered library for the accurate texts alignment in different languages.

Cover

Purpose

Main purpose of this alignment tool is to build parallel corpora using two or more raw texts in different languages. Texts should contain the same information (i.e., one text should be a translated analog oh the other text). E.g., it can be the Drei Kameraden by Remarque in German and the Three Comrades — it's translation into English.

Process

There are plenty of obstacles during the alignment process:

  • The translator could translate several sentences as one.
  • The translator could translate one sentence as many.
  • There are some service marks in the text
    • Page numbers
    • Chapters and other section headings
    • Author and title information
    • Notes

While service marks can be handled manually (the tool helps to detect them), the translation conflicts should be handled more carefully.

Lingtrain Aligner tool will do almost all alignment work for you. It matches the sentence pairs automatically using the multilingual machine learning models. Then it searches for the alignment conflicts and resolves them. As output you will have the parallel corpora either as two distinct plain text files or as the merged corpora in widely used TMX format.

Supported languages and 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. 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

Profit

  • Parallel corpora by itself can used as the resource for machine translation models or for linguistic researches.
  • My personal goal of this project is to help people building parallel translated books for the foreign language learning.
You might also like...
Sentence boundary disambiguation tool for Japanese texts (日本語文境界判定器)

Bunkai Bunkai is a sentence boundary (SB) disambiguation tool for Japanese texts. Quick Start $ pip install bunkai $ echo -e '宿を予約しました♪!まだ2ヶ月も先だけど。早すぎ

Megagon Labs 160 Dec 23, 2022
Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

Udit Arora 19 Oct 28, 2022
Neural text generators like the GPT models promise a general-purpose means of manipulating texts.

Boolean Prompting for Neural Text Generators Neural text generators like the GPT models promise a general-purpose means of manipulating texts. These m

Jeffrey M. Binder 20 Jan 9, 2023
Biterm Topic Model (BTM): modeling topics in short texts
Biterm Topic Model (BTM): modeling topics in short texts

Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua

Maksim Terpilowski 49 Dec 30, 2022
This repository contains Python scripts for extracting linguistic features from Filipino texts.

Filipino Text Linguistic Feature Extractors This repository contains scripts for extracting linguistic features from Filipino texts. The scripts were

Joseph Imperial 1 Oct 5, 2021
Text Classification in Turkish Texts with Bert
Text Classification in Turkish Texts with Bert

You can watch the details of the project on my youtube channel Project Interface Project Second Interface Goal= Correctly guessing the classification

null 42 Dec 31, 2022
Code for our paper
Code for our paper "Mask-Align: Self-Supervised Neural Word Alignment" in ACL 2021

Mask-Align: Self-Supervised Neural Word Alignment This is the implementation of our work Mask-Align: Self-Supervised Neural Word Alignment. @inproceed

THUNLP-MT 46 Dec 15, 2022
A pytorch implementation of the ACL2019 paper
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

RE2 This is a pytorch implementation of the ACL 2019 paper "Simple and Effective Text Matching with Richer Alignment Features". The original Tensorflo

null 286 Jan 2, 2023
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Ankur Dhuriya 10 Oct 13, 2022
Comments
  • File Already Exists

    File Already Exists

    Делаю docker pull lingtrain/aligner:v4 Загружаю текстовый файл и...

    image

    После вот такого предупреждения ничего не происходит Причём оно вылазит на любой текстовый файл

    opened by puffofsmoke 1
  • Fix XML creation:

    Fix XML creation:

    • prevent parent tag duplication for (langs, author, title)
    • add tags for tmx export
    • use 'direction' for splitting paragraphs
    • do not use bs4 (generates incorrect xml), change to lxml
    opened by BorisNA 0
  • A error when I use “splitter.split_by_sentences_wrapper”，please help check the error

    A error when I use “splitter.split_by_sentences_wrapper”，please help check the error

    when I use “splitted_from = splitter.split_by_sentences_wrapper(text1_prepared, lang_from)” return list，

    But I see that there will be a conflict when insert sqlite ，specific error：

    File "ling_test.py", line 36, in aligner.fill_db(db_path, splitted_from, splitted_to) File "lingtrain_aligner/aligner.py", line 498, in fill_db db.executemany("insert into languages(key, val) values(?,?)", [("from", lang_from), ("to", lang_to)]) sqlite3.InterfaceError: Error binding parameter 1 - probably unsupported type.

    opened by Amen-bang 5
  • Add text splitting into small parts

    Add text splitting into small parts

    The current version ignores the H1-H5 headers that were added by user. But when book was translate text from chapter 1 will be translate as a chapter 1 text into another language. You can use this fact and split a big text to small parts.

    Next idea - try split a big text to small blocks automatically: Select a few sentences from original text(for example 10 sentences) and using loop try to find translate block in the thanslated text.

    You can use the next psedocode:

    left_array = original_sentences[100:110]
sum=[]
for i=50;i<150 do:
   right_array_candidate=translated_sentences[i:i+10]
   sum[i]=sum(cosunuse_distance(left_array,right_array_candidate))

rigth_array=get_index_with_max_value(sum)

left_text_split_index=left_array[0]
rigth_text_split_index=rigth_array[0]
    opened by AigizK 0
Releases(0.1.0)
Owner
Sergei Averkiev
Software Engineer. Eager to learn languages and machine learning approaches. Live in Moscow.
Sergei Averkiev
GitHub Repository
Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Machine Translation This repository contains the original implementation of the unsupervised PBSMT and NMT models presented in Phrase-Bas

Facebook Research 1.5k Dec 28, 2022
Associated Repository for "Translation between Molecules and Natural Language"

MolT5: Translation between Molecules and Natural Language Associated repository for "Translation between Molecules and Natural Language". Table of Con

67 Dec 15, 2022
Ray-based parallel data preprocessing for NLP and ML.

Wrangl Ray-based parallel data preprocessing for NLP and ML. pip install wrangl # for latest pip install git+https://github.com/vzhong/wrangl See exa

Victor Zhong 33 Dec 27, 2022
A tool helps build a talk preview image by combining the given background image and talk event description

talk-preview-img-builder A tool helps build a talk preview image by combining the given background image and talk event description Installation and U

PyCon Taiwan 4 Aug 20, 2022
Problem: Given a nepali news find the category of the news

Classification of category of nepali news catorgory using different algorithms Problem: Multiclass Classification Approaches: TFIDF for vectorization

pudasainishushant 2 Jan 09, 2022
Production First and Production Ready End-to-End Keyword Spotting Toolkit

Production First and Production Ready End-to-End Keyword Spotting Toolkit

223 Jan 02, 2023
BiNE: Bipartite Network Embedding

BiNE: Bipartite Network Embedding This repository contains the demo code of the paper: BiNE: Bipartite Network Embedding. Ming Gao, Leihui Chen, Xiang

leihuichen 214 Nov 24, 2022
Transcribing audio files using Hugging Face's implementation of Wav2Vec2 + "chain-linking" NLP tasks to combine speech-to-text with downstream tasks like translation and summarisation.

PART 2: CHAIN LINKING AUDIO-TO-TEXT NLP TASKS 2A: TRANSCRIBE-TRANSLATE-SENTIMENT-ANALYSIS In notebook3.0, I demo a simple workflow to: transcribe a lo

Chua Chin Hon 30 Jul 13, 2022
Creating a Feed of MISP Events from ThreatFox (by abuse.ch)

ThreatFox2Misp Creating a Feed of MISP Events from ThreatFox (by abuse.ch) What will it do? This will fetch IOCs from ThreatFox by Abuse.ch, convert t

17 Nov 22, 2022
An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode.

WordleSolver An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode. How to use the program Copy this proje

Akil Selvan Rajendra Janarthanan 3 Mar 02, 2022
Long text token classification using LongFormer

Long text token classification using LongFormer

abhishek thakur 161 Aug 07, 2022
Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics.

Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics. Jury offers a smooth and easy-to-use interface. It uses datasets for underlying metric computa

Open Business Software Solutions 129 Jan 06, 2023
Mlcode - Continuous ML API Integrations

mlcode Basic APIs for ML applications. Django REST Application Contains REST API

Sujith S 1 Jan 01, 2022
Code for EMNLP20 paper: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training"

ProphetNet-X This repo provides the code for reproducing the experiments in ProphetNet. In the paper, we propose a new pre-trained language model call

Microsoft 394 Dec 17, 2022
BERN2: an advanced neural biomedical namedentity recognition and normalization tool

BERN2 We present BERN2 (Advanced Biomedical Entity Recognition and Normalization), a tool that improves the previous neural network-based NER tool by

DMIS Laboratory - Korea University 99 Jan 06, 2023
**NSFW** A chatbot based on GPT2-chitchat

DangBot -- 好怪哦，再来一句 卡群怪话bot，powered by GPT2 for Chinese chitchat Training Example: python train.py --lr 5e-2 --epochs 30 --max_len 300 --batch_size 8

Tommy Yang 11 Jul 21, 2022
Deep Learning for Natural Language Processing - Lectures 2021

This repository contains slides for the course "20-00-0947: Deep Learning for Natural Language Processing" (Technical University of Darmstadt, Summer term 2021).

0 Feb 21, 2022
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Multilabel time series classification with LSTM Tensorflow implementation of model discussed in the following paper: Learning to Diagnose with LSTM Re

Aaqib 552 Nov 28, 2022
Words_And_Phrases - Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours

Words_And_Phrases Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours Abbreviations Abbreviation

Subhadeep Mandal 1 Feb 01, 2022
skweak: A software toolkit for weak supervision applied to NLP tasks

Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels wi

Norsk Regnesentral (Norwegian Computing Center) 850 Dec 28, 2022