CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조

Overview

CJK computer science terms comparison

GitHub Netlify Creative Commons License

This repository contains the source code of the website. You can see the website from the following link:

Greater China, Japan, and Korea, the so-called Sinosphere (漢字文化圈; literally: "Chinese character cultural sphere"), have borrowed many concepts through Sinoxenic vocabularies from the West since the modern era. Some of them have their own translations, but some have imported translations from neighboring countries. In some translations, both native and foreign stems are combined. As a result, Sinosphere countries share a lot of words, but to some extent they have their own parts. And this is no different in computer science translations.

This page contains comparison tables of how computer science terms, mostly derived from English, are translated and called in different regions of Sinosphere.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Introduction

Cognates

Cognates are words that are derived from one side or share a common etymology.

For example, the English word computer and the Korean word 컴퓨터, the Japanese word 計算科学 (keisan kagaku) and the Chinese word 計算科學 (jìsuàn kēxué), that are both meaning computational science, are cognates.

Cognates are indicated by the same colored border.

Calque (loan translation)

Calque is a word or phrase borrowed from another language by literal word-for-word or root-for-root translation.

For example, the Chinese word 軟件 is a translation of the English word software, which translates the English words soft (ruǎn; soft or flexible) and ware (jiàn; clothes or item) respectively.

Matching words/roots between languages in this way are underlined with the same color & shape.

Homophonic translations

For a root transcribed from a foreign word, the original word is displayed on the root.

For example, as the Japanese word コンピュータ (konpyu-ta) is a transcription of English word computer, it is displayed like: コンピュータcomputer.

Romanized pronunciation

The pronunciation of each word is shown in Latin letters in parentheses below the word. The transcription system for each language is as follows:

Mandarin (China & Taiwan) : Hanyu Pinyin

Cantonese (Hong Kong) : Jyutping (Linguistic Society of Hong Kong Cantonese Romanization Scheme)

Japanese : Hepburn romanization

Korean : Revised Romanization of Korean

Basic terms

Show table.

Units

Show table.

Fields of study

Show table.

Computer programming

Show table.

Tools

Show table.

Theory of computation

Show table.

*[CJK]: Chinese, Japanese, and Korean languages

Owner
Hong Minhee (洪 民憙)
A software engineer from Seoul. An advocate of F/OSS, Open Web, and Cypherpunk. Hack into East Asian languages.
Hong Minhee (洪 民憙)
German Text-To-Speech Engine using Tacotron and Griffin-Lim

jotts JoTTS is a German text-to-speech engine using tacotron and griffin-lim. The synthesizer model has been trained on my voice using Tacotron1. Due

padmalcom 6 Aug 28, 2022
A paper list for aspect based sentiment analysis.

Aspect-Based-Sentiment-Analysis A paper list for aspect based sentiment analysis. Survey [IEEE-TAC-20]: Issues and Challenges of Aspect-based Sentimen

jiangqn 419 Dec 20, 2022
硕士期间自学的NLP子任务,供学习参考

NLP_Chinese_down_stream_task 自学的NLP子任务,供学习参考 任务1 :短文本分类 (1).数据集:THUCNews中文文本数据集(10分类) (2).模型:BERT+FC/LSTM,Pytorch实现 (3).使用方法: 预训练模型使用的是中文BERT-WWM, 下载地

12 May 31, 2022
vits chinese, tts chinese, tts mandarin

vits chinese, tts chinese, tts mandarin 史上训练最简单,音质最好的语音合成系统

AmorTX 12 Dec 14, 2022
Natural language Understanding Toolkit

Natural language Understanding Toolkit TOC Requirements Installation Documentation CLSCL NER References Requirements To install nut you need: Python 2

Peter Prettenhofer 119 Oct 08, 2022
Neural-Machine-Translation - Implementation of revolutionary machine translation models

Neural Machine Translation Framework: PyTorch Repository contaning my implementa

Utkarsh Jain 1 Feb 17, 2022
Code to reprudece NeurIPS paper: Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks

Accelerated Sparse Neural Training: A Provable and Efficient Method to FindN:M Transposable Masks Recently, researchers proposed pruning deep neural n

itay hubara 4 Feb 23, 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
CLIPfa: Connecting Farsi Text and Images

CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they

Sajjad Ayoubi 66 Dec 14, 2022
A Practitioner's Guide to Natural Language Processing

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, Text

Dipanjan (DJ) Sarkar 1.5k Jan 03, 2023
Retraining OpenAI's GPT-2 on Discord Chats

Train OpenAI's GPT-2 on Discord Chats Retraining a Text Generation Model on Discord Chats using gpt-2-simple that wraps existing model fine-tuning and

Ayush Mishra 4 Oct 27, 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
Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

18 Nov 28, 2022
Dé op-de-vlucht Pieton vertaler. Wereldwijd gebruikt door meer dan 1.000+ succesvolle bedrijven!

Dé op-de-vlucht Pieton vertaler. Wereldwijd gebruikt door meer dan 1.000+ succesvolle bedrijven!

Lau 1 Dec 17, 2021
Quick insights from Zoom meeting transcripts using Graph + NLP

Transcript Analysis - Graph + NLP This program extracts insights from Zoom Meeting Transcripts (.vtt) using TigerGraph and NLTK. In order to run this

Advit Deepak 7 Sep 17, 2022
A python script that will use hydra to get user and password to login to ssh, ftp, and telnet

Hydra-Auto-Hack A python script that will use hydra to get user and password to login to ssh, ftp, and telnet Project Description This python script w

2 Jan 16, 2022
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。

【关于 NLP】那些你不知道的事 作者:杨夕、芙蕖、李玲、陈海顺、twilight、LeoLRH、JimmyDU、艾春辉、张永泰、金金金 介绍 本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。 目录架构 一、【

1.4k Dec 30, 2022
Application for shadowing Chinese.

chinese-shadowing Simple APP for shadowing chinese. With this application, it is very easy to record yourself, play the sound recorded and listen to s

Thomas Hirtz 5 Sep 06, 2022
小布助手对话短文本语义匹配的一个baseline

oppo-text-match 小布助手对话短文本语义匹配的一个baseline 模型 参考:https://kexue.fm/archives/8213 base版本线下大概0.952,线上0.866(单模型,没做K-flod融合)。 训练 测试环境:tensorflow 1.15 + keras

苏剑林(Jianlin Su) 132 Dec 14, 2022
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Phil Wang 5k Jan 02, 2023