Local cross-platform machine translation GUI, based on CTranslate2

Overview

DesktopTranslator

Local cross-platform machine translation GUI, based on CTranslate2

DesktopTranslator

Download Windows Installer

You can either download a ready-made Windows executable installer for DesktopTranslator, or build an installer yourself.
DesktopTranslator

Translation Models

Currently, DesktopTranslator supports CTranslate2 models, and SentencePiece subwording models (you need both). If you have a model for OpenNMT-py, OpenNMT-tf, or FairSeq, you can convert it to a CTranslate2 format.

If you would like to try out the app and you do not have a model, you can download my French-to-English generic model here.

  1. Unzip the fren.zip archive of the French-to-English generic model you just downloaded. It has two folders, ct2_model for the CTranslate2 model and sp_model for the SentencePiece subwording models of French (source) and English (target).
  2. In DesktopTranslator, click the CTranslate2 Model button, and select the ct2_model folder.
  3. Click the SentencePiece Model button, navigate to the sp_model folder, and select fr.model.
  4. In the left input text-area, type some text in French or use the File menu > Open... to open a *.txt file.
  5. Click the Translate button.

Build Windows Installer

If you want to adjust the code and then build an installer yourself, you can follow these steps:

  1. Install PyInstaller:
pip3 install pyinstaller
  1. To use PyInstaller, specify the Python file name and the argument -w to hide the console window:
pyinstaller -y -w "translator.py"
  1. Try the *.exe file under "dist\translator" to make sure it works. It might complain about the Pmw library. The solution is either remove the Balloon lines, or add this file to the same folder as the translate.py and run the aforementioned PyInstaller command again.
  2. Compress the contents of the “dist” directory created by PyInstaller into a *.zip archive.
  3. Download and install NSIS.
  4. Launch NSIS, click Installer based on a .ZIP file, and then click Open to locate the *.zip archive you have just created.
  5. If you want to make the files installed (extracted) to the “Program Files” of the target user, in the Default Folder enter $PROGRAMFILES
  6. If you want to add a shortcut to the internal *.exe file on the Desktop after installation, you can add something like this to the file “Modern.nsh” located at: "C:\Program Files\NSIS\Contrib\zip2exe". Depending on your OS, the path could be at “Program Files (x86)”. Note that the exe path should be consistent with the path you selected under NSIS’s “Default Folder” drop-down menu, the folder name, and the exe file name.
Section "Desktop Shortcut" SectionX
    SetShellVarContext current
    CreateShortCut "$DESKTOP\DesktopTranslator.lnk" "$PROGRAMFILES\DesktopTranslator\translator.exe"
SectionEnd
  1. Finally, click the NSIS Generate button, which will create the *.exe installer that can be shipped to other Windows machines, without the need to install any extra requirements.
  2. After installation, if you applied step #8, you should find an icon on the Desktop. To uninstall, you can simple remove the app forlder from "Program Files". For more NSIS options, check this example.
You might also like...
Open Source Neural Machine Translation in PyTorch
Open Source Neural Machine Translation in PyTorch

OpenNMT-py: Open-Source Neural Machine Translation OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine trans

Yet Another Neural Machine Translation Toolkit

YANMTT YANMTT is short for Yet Another Neural Machine Translation Toolkit. For a backstory how I ended up creating this toolkit scroll to the bottom o

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Non-Autoregressive Transformer Code release for Non-Autoregressive Neural Machine Translation by Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K.

Free and Open Source Machine Translation API. 100% self-hosted, offline capable and easy to setup.
Free and Open Source Machine Translation API. 100% self-hosted, offline capable and easy to setup.

LibreTranslate Try it online! | API Docs | Community Forum Free and Open Source Machine Translation API, entirely self-hosted. Unlike other APIs, it d

Training open neural machine translation models

Train Opus-MT models This package includes scripts for training NMT models using MarianNMT and OPUS data for OPUS-MT. More details are given in the Ma

Learning to Rewrite for Non-Autoregressive Neural Machine Translation
Learning to Rewrite for Non-Autoregressive Neural Machine Translation

RewriteNAT This repo provides the code for reproducing our proposed RewriteNAT in EMNLP 2021 paper entitled "Learning to Rewrite for Non-Autoregressiv

Implementaion of our ACL 2022 paper Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

Releases(v0.2.1)
Owner
Yasmin Moslem
Machine Translation Researcher
Yasmin Moslem
(ACL 2022) The source code for the paper "Towards Abstractive Grounded Summarization of Podcast Transcripts"

Towards Abstractive Grounded Summarization of Podcast Transcripts We provide the source code for the paper "Towards Abstractive Grounded Summarization

10 Jul 01, 2022
Correctly generate plurals, ordinals, indefinite articles; convert numbers to words

NAME inflect.py - Correctly generate plurals, singular nouns, ordinals, indefinite articles; convert numbers to words. SYNOPSIS import inflect p = in

Jason R. Coombs 762 Dec 29, 2022
Kerberoast with ACL abuse capabilities

targetedKerberoast targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts

Shutdown 213 Dec 22, 2022
A method to generate speech across multiple speakers

VoiceLoop PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a n

Facebook Archive 873 Dec 15, 2022
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context This Repository contains the code on AVA of our ACM MM 2021 paper: LSTC: Boosting

Tencent YouTu Research 9 Oct 11, 2022
EMNLP 2021 paper "Pre-train or Annotate? Domain Adaptation with a Constrained Budget".

Pre-train or Annotate? Domain Adaptation with a Constrained Budget This repo contains code and data associated with EMNLP 2021 paper "Pre-train or Ann

Fan Bai 8 Dec 17, 2021
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 05, 2021
🗣️ NALP is a library that covers Natural Adversarial Language Processing.

NALP: Natural Adversarial Language Processing Welcome to NALP. Have you ever wanted to create natural text from raw sources? If yes, NALP is for you!

Gustavo Rosa 21 Aug 12, 2022
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT

Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).

Kevin Meng 130 Dec 21, 2022
🦅 Pretrained BigBird Model for Korean (up to 4096 tokens)

Pretrained BigBird Model for Korean What is BigBird • How to Use • Pretraining • Evaluation Result • Docs • Citation 한국어 | English What is BigBird? Bi

Jangwon Park 183 Dec 14, 2022
Higher quality textures for the Metal Gear Solid series.

Metal Gear Solid: HD Textures Higher quality textures for the Metal Gear Solid series. The goal is to maximize the quality of assets that the engine w

Samantha 6 Dec 06, 2022
Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks

Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre

THUNLP 2.3k Jan 08, 2023
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP

Stat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP This is the first course from our trio courses: Statistics Foundatio

Omid Safarzadeh 83 Dec 29, 2022
This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 - treatments and vaccinations.

Project: Text Analysis - This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 -

1 Mar 14, 2022
This is a general repo that helps you develop fast/effective NLP classifiers using Huggingface

NLP Classifier Introduction This project trains a bert model on any NLP classifcation model. And uses the model in make predictions on new data using

Abdullah Tarek 3 Mar 11, 2022
Wikipedia-Utils: Preprocessing Wikipedia Texts for NLP

Wikipedia-Utils: Preprocessing Wikipedia Texts for NLP This repository maintains some utility scripts for retrieving and preprocessing Wikipedia text

Masatoshi Suzuki 44 Oct 19, 2022
Amazon Multilingual Counterfactual Dataset (AMCD)

Amazon Multilingual Counterfactual Dataset (AMCD)

35 Sep 20, 2022
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

A2T: Towards Improving Adversarial Training of NLP Models This is the source code for the EMNLP 2021 (Findings) paper "Towards Improving Adversarial T

QData 17 Oct 15, 2022
Conversational text Analysis using various NLP techniques

Conversational text Analysis using various NLP techniques

Rita Anjana 159 Jan 06, 2023
Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries

GTFONow Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries. Features Automatically escalate privileges using miscon

101 Jan 03, 2023