Auto translate textbox from Japanese to English or Indonesia

Overview

priconne-auto-translate

Auto translate textbox from Japanese to English or Indonesia

Screenshot

How to use

  • Install python first, Anaconda is recommended
  • Install python depedency with command: pip install -r requirement.txt
  • Install tesseract for windows, Download here, select tesseract-ocr-w64-setup-v5.0.0-alpha.20210811.exe
  • Download japanese datapack at this repository
  • Copy trainneddata file to C:\Program Files\Tesseract-OCR\tessdata
  • Run Princess Connect Re:Dive
  • Run run.py with command : python run.py --data fast --translate googleDict or just python run.py

Available command

--data

select japanese detection datapack.\

  • fast is lightweight but not accurate.
  • medium is not light but not heavy either, fairly accurate.
  • best is heavy but it is very accurate. default is best

--translate

Select translator endpoint.\

  • azure using bing translate, need API key, free is limited 2 millions of character
  • ibm using IBM Translate, not really accurate.
  • googleModule using googletrans module, not accurate, IP maybe blocked if too many request
  • googleDict using google dictionary endpoint, somewhat accurate. Default is googleDict

PR is wellcome!

Yes, I need your help to improve this program. My code is messy but at least it work.
If there any improvement, PR is always open!

Issue

Please open issue if there is any bug or have question!

ToDo

  • Overlay to the game.
  • Improve performance with multithreading / multiprocessing
Owner
Aji Priyo Wibowo
Just someone make something during lazy time.
Aji Priyo Wibowo
Contains links to publicly available datasets for modeling health outcomes using speech and language.

speech-nlp-datasets Contains links to publicly available datasets for modeling various health outcomes using speech and language. Speech-based Corpora

Tuka Alhanai 77 Dec 07, 2022
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. Proceedings of EMNLP 2021

AAGCN-ACSA EMNLP 2021 Introduction This repository was used in our paper: Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment An

Akuchi 36 Dec 18, 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
SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning

SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning We propose a SASE mode

Tower 1 Nov 20, 2021
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Speech_38_ru_commands Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR Программа умеет распознавать 38 ключевы

Andrey 9 May 05, 2022
Unsupervised text tokenizer focused on computational efficiency

YouTokenToMe YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast Byte Pair Encoding (BPE)

VK.com 847 Dec 19, 2022
Wrapper to display a script output or a text file content on the desktop in sway or other wlroots-based compositors

nwg-wrapper This program is a part of the nwg-shell project. This program is a GTK3-based wrapper to display a script output, or a text file content o

Piotr Miller 94 Dec 27, 2022
American Sign Language (ASL) to Text Converter

Signterpreter American Sign Language (ASL) to Text Converter Recommendations Although there is grayscale and gaussian blur, we recommend that you use

0 Feb 20, 2022
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
TalkNet: Audio-visual active speaker detection Model

Is someone talking? TalkNet: Audio-visual active speaker detection Model This repository contains the code for our ACM MM 2021 paper, TalkNet, an acti

142 Dec 14, 2022
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion

NeX: Real-time View Synthesis with Neural Basis Expansion Project Page | Video | Paper | COLAB | Shiny Dataset We present NeX, a new approach to novel

537 Jan 05, 2023
Syntax-aware Multi-spans Generation for Reading Comprehension (TASLP 2022)

SyntaxGen Syntax-aware Multi-spans Generation for Reading Comprehension (TASLP 2022) In this repo, we upload all the scripts for this work. Due to siz

Zhuosheng Zhang 3 Jun 13, 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
An open-source NLP library: fast text cleaning and preprocessing.

An open-source NLP library: fast text cleaning and preprocessing

Iaroslav 21 Mar 18, 2022
novel deep learning research works with PaddlePaddle

Research 发布基于飞桨的前沿研究工作,包括CV、NLP、KG、STDM等领域的顶会论文和比赛冠军模型。 目录 计算机视觉(Computer Vision) 自然语言处理(Natrual Language Processing) 知识图谱(Knowledge Graph) 时空数据挖掘(Spa

1.5k Jan 03, 2023
Linking data between GBIF, Biodiverse, and Open Tree of Life

GBIF-biodiverse-OpenTree Linking data between GBIF, Biodiverse, and Open Tree of Life The python scripts will rely on opentree and Dendropy. To set up

2 Oct 03, 2022
Japanese Long-Unit-Word Tokenizer with RemBertTokenizerFast of Transformers

Japanese-LUW-Tokenizer Japanese Long-Unit-Word (国語研長単位) Tokenizer for Transformers based on 青空文庫 Basic Usage from transformers import RemBertToken

Koichi Yasuoka 3 Dec 22, 2021
VMD Audio/Text control with natural language

This repository is a proof of principle for performing Molecular Dynamics analysis, in this case with the program VMD, via natural language commands.

Andrew White 13 Jun 09, 2022
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search

multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search

hellonlp 30 Dec 12, 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