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 ;)
Repositório da disciplina no semestre 2021-2

Avisos! Nenhum aviso! Compiladores 1 Este é o Git da disciplina Compiladores 1. Aqui ficará o material produzido em sala de aula assim como tarefas, w

6 May 13, 2022
End-to-End Speech Processing Toolkit

ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18

ESPnet 5.9k Jan 03, 2023
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

Weitang Liu 1.6k Jan 03, 2023
A library for end-to-end learning of embedding index and retrieval model

Poeem Poeem is a library for efficient approximate nearest neighbor (ANN) search, which has been widely adopted in industrial recommendation, advertis

54 Dec 21, 2022
Interpretable Models for NLP using PyTorch

This repo is deprecated. Please find the updated package here. https://github.com/EdGENetworks/anuvada Anuvada: Interpretable Models for NLP using PyT

Sandeep Tammu 19 Dec 17, 2022
AI_Assistant - This is a Python based Voice Assistant.

This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.

1 Jan 06, 2022
DiY Oxygen Concentrator based on the OxiKit

M19O2 DiY Oxygen Concentrator based on / inspired by the OxiKit, OpenOx, Marut, RepRap and Project Apollo platforms. About Read about the project on H

Maker's Asylum 62 Dec 22, 2022
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
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specia

Zihan Liu 89 Nov 10, 2022
Code Generation using a large neural network called GPT-J

CodeGenX is a Code Generation system powered by Artificial Intelligence! It is delivered to you in the form of a Visual Studio Code Extension and is Free and Open-source!

DeepGenX 389 Dec 31, 2022
숭실대학교 컴퓨터학부 전공종합설계프로젝트

✨ 시각장애인을 위한 버스도착 알림 장치 ✨ 👀 개요 현대 사회에서 대중교통 위치 정보를 이용하여 사람들이 간단하게 이용할 대중교통의 정보를 얻고 쉽게 대중교통을 이용할 수 있다. 해당 정보는 각종 어플리케이션과 대중교통 이용시설에서 위치 정보를 제공하고 있지만 시각

taegyun 3 Jan 25, 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
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

Moment-DETR QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries Jie Lei, Tamara L. Berg, Mohit Bansal For dataset de

Jie Lei 雷杰 133 Dec 22, 2022
Intent parsing and slot filling in PyTorch with seq2seq + attention

PyTorch Seq2Seq Intent Parsing Reframing intent parsing as a human - machine translation task. Work in progress successor to torch-seq2seq-intent-pars

Sean Robertson 159 Apr 04, 2022
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

TextAttack 🐙 Generating adversarial examples for NLP models [TextAttack Documentation on ReadTheDocs] About • Setup • Usage • Design About TextAttack

QData 2.2k Jan 03, 2023
Experiments in converting wikidata to ftm

FollowTheMoney / Wikidata mappings This repo will contain tools for converting Wikidata entities into FtM schema. Prefixes: https://www.mediawiki.org/

Friedrich Lindenberg 2 Nov 12, 2021
Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER (EMNLP 2021).

Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. @inproceedings{tedes

Babelscape 40 Dec 11, 2022
State of the art faster Natural Language Processing in Tensorflow 2.0 .

tf-transformers: faster and easier state-of-the-art NLP in TensorFlow 2.0 ****************************************************************************

74 Dec 05, 2022
Espial is an engine for automated organization and discovery of personal knowledge

Live Demo (currently not running, on it) Espial is an engine for automated organization and discovery in knowledge bases. It can be adapted to run wit

Uzay-G 159 Dec 30, 2022
Code for our ACL 2021 (Findings) Paper - Fingerprinting Fine-tuned Language Models in the wild .

🌳 Fingerprinting Fine-tuned Language Models in the wild This is the code and dataset for our ACL 2021 (Findings) Paper - Fingerprinting Fine-tuned La

LCS2-IIITDelhi 5 Sep 13, 2022