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 ;)
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

Explosion 1.2k Jan 08, 2023
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
Score-Based Point Cloud Denoising (ICCV'21)

Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in

Shitong Luo 79 Dec 26, 2022
"Investigating the Limitations of Transformers with Simple Arithmetic Tasks", 2021

transformers-arithmetic This repository contains the code to reproduce the experiments from the paper: Nogueira, Jiang, Lin "Investigating the Limitat

Castorini 33 Nov 16, 2022
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

Welcome to Healthsea ✨ Create better access to health with spaCy. Healthsea is a pipeline for analyzing user reviews to supplement products by extract

Explosion 75 Dec 19, 2022
Perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites.

Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ

Madhusudan.C.S 53 Mar 01, 2022
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

In recent years, the dense retrievers based on pre-trained language models have achieved remarkable progress. To facilitate more developers using cutt

475 Jan 04, 2023
Labelling platform for text using distant supervision

With DataQA, you can label unstructured text documents using rule-based distant supervision.

245 Aug 05, 2022
Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization

Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization 📥 Download Datasets 📥 Download Trained Models INTRODUCTION TH2ZH (

Nakhun Chumpolsathien 5 Jan 03, 2022
A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型,适用于英语、普通话/中文、日语、韩语、俄语和藏语(当前已测试)。

简体中文 | English 并行语音合成 [TOC] 新进展 2021/04/20 合并 wavegan 分支到 main 主分支,删除 wavegan 分支! 2021/04/13 创建 encoder 分支用于开发语音风格迁移模块! 2021/04/13 softdtw 分支 支持使用 Sof

Atomicoo 161 Dec 19, 2022
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

303 Dec 17, 2022
String Gen + Word Checker

Creates random strings and checks if any of them are a real words. Mostly a waste of time ngl but it is cool to see it work and the fact that it can generate a real random word within10sec

1 Jan 06, 2022
Multi Task Vision and Language

12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-

Meta Research 711 Jan 08, 2023
Reproduction process of BERT on SST2 dataset

BERT-SST2-Prod Reproduction process of BERT on SST2 dataset 安装说明 下载代码库 git clone https://github.com/JunnYu/BERT-SST2-Prod 进入文件夹,安装requirements pip ins

yujun 1 Nov 18, 2021
Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

Negative Sampling for NER Unlabeled entity problem is prevalent in many NER scenarios (e.g., weakly supervised NER). Our paper in ICLR-2021 proposes u

Yangming Li 128 Dec 29, 2022
Residual2Vec: Debiasing graph embedding using random graphs

Residual2Vec: Debiasing graph embedding using random graphs This repository contains the code for S. Kojaku, J. Yoon, I. Constantino, and Y.-Y. Ahn, R

SADAMORI KOJAKU 5 Oct 12, 2022
**NSFW** A chatbot based on GPT2-chitchat

DangBot -- 好怪哦,再来一句 卡群怪话bot,powered by GPT2 for Chinese chitchat Training Example: python train.py --lr 5e-2 --epochs 30 --max_len 300 --batch_size 8

Tommy Yang 11 Jul 21, 2022
A minimal code for fairseq vq-wav2vec model inference.

vq-wav2vec inference A minimal code for fairseq vq-wav2vec model inference. Runs without installing the fairseq toolkit and its dependencies. Usage ex

Vladimir Larin 7 Nov 15, 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
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022