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)
Stuff related to Ben Eater's 8bit breadboard computer

8bit breadboard computer simulator This is an assembler + simulator/emulator of Ben Eater's 8bit breadboard computer. For a version with its RAM upgra

Marijn van Vliet 29 Dec 29, 2022
The official implementation of "BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?, ACL 2021 main conference"

BERT is to NLP what AlexNet is to CV This is the official implementation of BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Iden

Asahi Ushio 20 Nov 03, 2022
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
ConvBERT-Prod

ConvBERT 目录 0. 仓库结构 1. 简介 2. 数据集和复现精度 3. 准备数据与环境 3.1 准备环境 3.2 准备数据 3.3 准备模型 4. 开始使用 4.1 模型训练 4.2 模型评估 4.3 模型预测 5. 模型推理部署 5.1 基于Inference的推理 5.2 基于Serv

yujun 7 Apr 08, 2022
Basic yet complete Machine Learning pipeline for NLP tasks

Basic yet complete Machine Learning pipeline for NLP tasks This repository accompanies the article on building basic yet complete ML pipelines for sol

Ivan 20 Aug 22, 2022
Fuzzy String Matching in Python

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

SeatGeek 8.8k Jan 01, 2023
A script that automatically creates a branch name using google translation api and jira api

About google translation api와 jira api을 사용하여 자동으로 브랜치 이름을 만들어주는 스크립트 Setup 환경변수에 다음 3가지를 등록해야 한다. JIRA_USER : JIRA email (ex: hyunwook.kim 2 Dec 20, 2021

DomainWordsDict, Chinese words dict that contains more than 68 domains, which can be used as text classification、knowledge enhance task

DomainWordsDict, Chinese words dict that contains more than 68 domains, which can be used as text classification、knowledge enhance task。涵盖68个领域、共计916万词的专业词典知识库,可用于文本分类、知识增强、领域词汇库扩充等自然语言处理应用。

liuhuanyong 357 Dec 24, 2022
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

UIS-RNN Overview This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of s

Google 1.4k Dec 28, 2022
File-based TF-IDF: Calculates keywords in a document, using a word corpus.

File-based TF-IDF Calculates keywords in a document, using a word corpus. Why? Because I found myself with hundreds of plain text files, with no way t

Jakob Lindskog 1 Feb 11, 2022
This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers.

private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why

Xuechen Li 73 Dec 28, 2022
Transformer training code for sequential tasks

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

Meta Research 578 Dec 13, 2022
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.

Salesforce 261 Nov 12, 2022
Control the classic General Instrument SP0256-AL2 speech chip and AY-3-8910 sound generator with a Raspberry Pi and this Python library.

GI-Pi Control the classic General Instrument SP0256-AL2 speech chip and AY-3-8910 sound generator with a Raspberry Pi and this Python library. The SP0

Nick Bild 8 Dec 15, 2021
AutoGluon: AutoML for Text, Image, and Tabular Data

AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo

Amazon Web Services - Labs 5.2k Dec 29, 2022
Code for ACL 2020 paper "Rigid Formats Controlled Text Generation"

SongNet SongNet: SongCi + Song (Lyrics) + Sonnet + etc. @inproceedings{li-etal-2020-rigid, title = "Rigid Formats Controlled Text Generation",

Piji Li 212 Dec 17, 2022
HAN2HAN : Hangul Font Generation

HAN2HAN : Hangul Font Generation

Changwoo Lee 36 Dec 28, 2022
Tools to download and cleanup Common Crawl data

cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc

Meta Research 483 Jan 02, 2023
NLP applications using deep learning.

NLP-Natural-Language-Processing NLP applications using deep learning like text generation etc. 1- Poetry Generation: Using a collection of Irish Poem

KASHISH 1 Jan 27, 2022
中文空间语义理解评测

中文空间语义理解评测 最新消息 2021-04-10 🚩 排行榜发布: Leaderboard 2021-04-05 基线系统发布: SpaCE2021-Baseline 2021-04-05 开放数据提交: 提交结果 2021-04-01 开放报名: 我要报名 2021-04-01 数据集 pa

40 Jan 04, 2023