Translation for Trilium Notes. Trilium Notes 中文版.

Overview

Trilium Translation

中文说明 This repo provides a translation for the awesome Trilium Notes. Currently, I have translated Trilium Notes into Chinese. Tested with trilium version 0.47.2 - 0.47.4.

Star this repo if you like it, thx :)

If you have old data, PLEASE BACK UP YOUR DATA BEFORE USE.

20210606135851579_1868988429

How to use

  1. Download from the latest Release that suit your computer system.
  2. Unzip and execute(trilium for Linux, trilium.sh for Linux sever, trilium.exe for Windows, trilium.app for macOS).
  3. Enjoy :)

How to run server with docker

For Trilium Notes server, you can run it with docker simply by executing:

docker-compose up -d

It will download the Chinese version of Trilium I built on Docker Hub.

Open http://127.0.0.1:8080 in your browser to access the server page.

How to translate

If you would like to check the code (my codes comes with Chinese and English comments, check it) and compile it by yourself. Here is some information may be useful.

WARNING! The scripts I wrote includes some 'rm -rf' commands, modify and use codes with care!

How does the translation work

It extracts the resource files from the latest Trilium Notes official release and use regular expression to replace UI text for each file. Then pack the translated files back into the package. Done.

Compile Environment Requirement

My environment is Manjaro(Linux)/macOS based, but you can make some change to work on other platform. You need to change some path configuration in my code to work on your machine.

Python3 with module

pip3 install requests --user

Nodejs with module

npm install -g asar
npm install -g webpack
npm install -g webpack-cli

7z if you want to make release

Translate Process

  1. Modify configurations in settings.py by the comments.
  2. Do translate in translations.py. (See translations_cn.py. There are over 1000 lines to translate, be patient :) )
  3. Run python3 init.py to download latest Trilium Notes.
  4. Run python3 trilium_trans.py to make a translation patch.
  5. Run python3 make_release.py to apply patch to releases for all platforms.

Note: In translations.py there are some texts begin or ends with quotes were made on purpose for regex match, do not remove them in your translation. There are some text like '${xxxx}' in the translation, these are the placeholder in the original Trilium Notes source code, do not modify them unless you know what you are doing.

More text to translate

If you'd like to translate more text, mark each text in the file that you want to translate with double brackets{{}} like I did in trilium_trans.py.

Put everything between double brackets into the dict in translations.py and translate to the language you like. (Some text were ended with }. Try to avoid triple brackets by change from ${xxx}}}' to something like ${xxx}'}} )

Limitations

The translation is hard-coded in the frontend/backend source code, so you can not switch between languages. If there were some mistakes in the translation, Trilium Notes may not function correctly. Therefore, please back up your data before use.

If you break Trilium Notes somehow, you need to redownload everything with init.py.

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

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Sockeye This package contains the Sockeye project, an open-source sequence-to-sequence framework for Neural Machine Translation based on Apache MXNet

An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

VizSeq is a Python toolkit for visual analysis on text generation tasks like machine translation, summarization, image captioning, speech translation

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

A deep learning-based translation library built on Huggingface transformers

DL Translate A deep learning-based translation library built on Huggingface transformers and Facebook's mBART-Large 💻 GitHub Repository 📚 Documentat

A Paper List for Speech Translation

Keyword: Speech Translation, Spoken Language Processing, Natural Language Processing

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Phrase-Based & Neural Unsupervised Machine Translation
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

A PyTorch implementation of paper
A PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021

Chimera: Learning Shared Semantic Space for Speech-to-Text Translation This is a Pytorch implementation for the "Chimera" paper Learning Shared Semant

Comments
  • docker 应用版本:0.51.2 ,启动出现错误

    docker 应用版本:0.51.2 ,启动出现错误

    ./node/bin/node[6]: ../src/node_platform.cc:61:std::unique_ptr node::WorkerThreadsTaskRunner::DelayedTaskScheduler::Start(): Assertion `(0) == (uv_thread_create(t.get(), start_thread, this))' failed. 1: 0xb09980 node::Abort() [./node/bin/node] 2: 0xb099fe [./node/bin/node] 3: 0xb78f9e [./node/bin/node] 4: 0xb79066 node::NodePlatform::NodePlatform(int, v8::TracingController*) [./node/bin/node] 5: 0xaccf49 node::InitializeOncePerProcess(int, char**, node::InitializationSettingsFlags, node::ProcessFlags::Flags) [./node/bin/node] 6: 0xacd1f9 node::Start(int, char**) [./node/bin/node] 7: 0x7fe215850d90 [/lib/x86_64-linux-gnu/libc.so.6] 8: 0x7fe215850e40 __libc_start_main [/lib/x86_64-linux-gnu/libc.so.6] 9: 0xa4076c [./node/bin/node] Aborted (core dumped)

    opened by Mn-Simple 9
  • 【问题】关于当前笔记显示其他笔记内容的问题

    【问题】关于当前笔记显示其他笔记内容的问题

    那个text类型的笔记是跟着0.56.1版本升级到0.56.2的。(个人电脑创建的笔记,跟着软件一同升级的数据,0.56.2) 那个book类型的笔记是在其他电脑上用旧版本0.56.1软件创建的,而且是以导入的方式导入到个人电脑中的。(其他电脑创建的笔记,软件并没有升级,还是0.56.1)

    我点击第一个笔记(text),显示的内容是正常的,点击下一个笔记,这个笔记类型是书(book),也很正常,但是问题来了,当点击前一个笔记(text)时,内容却不是第一个笔记(text)的内容,而是另一个笔记书(book)的内容,这就很奇怪了? 而且我还测试了上一级目录,发现内容都是book笔记的内容。 这个bug影响非常严重

    opened by nvcutrb 6
  • 如何管理图片

    如何管理图片

    感谢大佬提供的中文版本。 我的环境是Ubuntu 22.04 LTS x86_64(Py3.7.8) ,使用了宝塔和docker架设了trilium中文版。我在使用trilium的时候上传了一些图片,我现在不想要这些图片了,我该如何去删除?直接删除相关笔记的话,是否可以同时删除笔记里的图片和附件?谢谢了

    opened by maple185 2
  • 翻译修正:Copy/clone应为复制/克隆

    翻译修正:Copy/clone应为复制/克隆

    嗨,有一个小问题,右键菜单里的Copy/clone翻译成复制/克隆会更精准一点,因为triliumCopy/clone里的Copy不是字面意义的copy而是一种引用,具体解释可以参考这个克隆笔记

    我称这些为“clones”(克隆),但这有点误导性 - 没有原始和克隆的笔记 - 两个父类别中的笔记是相同的。

    同样,Clone to建议翻译成克隆到:)

    enhancement 
    opened by YiChuJun 2
Releases(v0.57.5_20221216)
Owner
A Python Holic ;)
Dust model dichotomous performance analysis

Dust-model-dichotomous-performance-analysis Using a collated dataset of 90,000 dust point source observations from 9 drylands studies from around the

1 Dec 17, 2021
Code associated with the Don't Stop Pretraining ACL 2020 paper

dont-stop-pretraining Code associated with the Don't Stop Pretraining ACL 2020 paper Citation @inproceedings{dontstoppretraining2020, author = {Suchi

AI2 449 Jan 04, 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
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

Abel 211 Dec 28, 2022
MASS: Masked Sequence to Sequence Pre-training for Language Generation

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Microsoft 1.1k Dec 17, 2022
Official PyTorch Implementation of paper "NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting", EGSR 2021.

NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting Official PyTorch Implementation of paper "NeLF: Neural Light-tran

Ken Lin 38 Dec 26, 2022
Open-World Entity Segmentation

Open-World Entity Segmentation Project Website Lu Qi*, Jason Kuen*, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia This projec

DV Lab 408 Dec 29, 2022
Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer

Sentiment Analysis Project This project contains two sentiment analysis programs for Hotel Reviews using a Hotel Reviews dataset from Datafiniti. The

Simran Farrukh 0 Mar 28, 2022
Coreference resolution for English, German and Polish, optimised for limited training data and easily extensible for further languages

Coreferee Author: Richard Paul Hudson, msg systems ag 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 German 1.2.3 Polish 1

msg systems ag 169 Dec 21, 2022
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.

Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her

Roberto Sanchez 0 Aug 04, 2021
LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language

LegalNLP - Natural Language Processing Methods for the Brazilian Legal Language ⚖️ The library of Natural Language Processing for Brazilian legal lang

Felipe Maia Polo 125 Dec 20, 2022
Repository for the paper: VoiceMe: Personalized voice generation in TTS

🗣 VoiceMe: Personalized voice generation in TTS Abstract Novel text-to-speech systems can generate entirely new voices that were not seen during trai

Pol van Rijn 80 Dec 29, 2022
Simple translation demo showcasing our headliner package.

Headliner Demo This is a demo showcasing our Headliner package. In particular, we trained a simple seq2seq model on an English-German dataset. We didn

Axel Springer News Media & Tech GmbH & Co. KG - Ideas Engineering 16 Nov 24, 2022
The entmax mapping and its loss, a family of sparse softmax alternatives.

entmax This package provides a pytorch implementation of entmax and entmax losses: a sparse family of probability mappings and corresponding loss func

DeepSPIN 330 Dec 22, 2022
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search

Introduction This codebase contains source-code of the Python-based implementation (ARES) of our SIGIR 2022 paper. Chen, Jia, et al. "Axiomatically Re

Jia Chen 17 Nov 09, 2022
KoBART model on huggingface transformers

KoBART-Transformers SKT에서 공개한 KoBART를 편리하게 사용할 수 있게 transformers로 포팅하였습니다. Install (Optional) BartModel과 PreTrainedTokenizerFast를 이용하면 설치하실 필요 없습니다. p

Hyunwoong Ko 58 Dec 07, 2022
A Python package implementing a new model for text classification with visualization tools for Explainable AI :octocat:

A Python package implementing a new model for text classification with visualization tools for Explainable AI 🍣 Online live demos: http://tworld.io/s

Sergio Burdisso 285 Jan 02, 2023
Simple program that translates the name of files into English

Simple program that translates the name of files into English. Useful for when editing/inspecting programs that were developed in a foreign language.

0 Dec 22, 2021
This is an incredibly powerful calculator that is capable of many useful day-to-day functions.

Description 💻 This is an incredibly powerful calculator that is capable of many useful day-to-day functions. Such functions include solving basic ari

Jordan Leich 37 Nov 19, 2022
Visual Automata is a Python 3 library built as a wrapper for Caleb Evans' Automata library to add more visualization features.

Visual Automata Copyright 2021 Lewi Lie Uberg Released under the MIT license Visual Automata is a Python 3 library built as a wrapper for Caleb Evans'

Lewi Uberg 55 Nov 17, 2022