Search Results for "mandarin"

TAME LLM is an open-source initiative focused on building and releasing large language models optimized for Traditional Mandarin and the linguistic context of Taiwan. The project includes models such as Llama-3-Taiwan-70B, which are fine-tuned versions of large transformer architectures trained on extensive corpora containing both Traditional Mandarin and English text. These models are designed to support applications such as conversational AI, knowledge retrieval, and domain-specific reasoning in fields like manufacturing, law, healthcare, and electronics. ...

...It supports character-level and phrase-level conversion, character variant conversion and regional idioms among Mainland China, Taiwan and Hong Kong. This is not translation tool between Mandarin and Cantonese, etc.

CTeX-kit is a collection of TeX/LaTeX/ConTeXt macro packages, related scripts, and resource files made specifically for Chinese TeX users, especially Mandarin users. This project aims to bring together many existing efforts including ctex, xeCJK, zhspacing, LuaTeX-related Chinese support, etc.

...The Kokoro-82M model it uses is compact (82M parameters) yet natural sounding, trained on under 100 hours of audio, and supports multiple languages, including English (US/UK), Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese. Audiblez can run entirely from the command line via a PyPI package or through a simple cross-platform GUI built on wxPython, giving both advanced users and non-technical users an accessible workflow.

Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text datasets to learn linguistic patterns, long-range dependencies, and semantic nuance typical of Chinese writing, making it useful for tasks like text classification, question answering, named entity recognition, and language generation. ...

Chinese-LLaMA-Alpaca-3 is an open-source project that provides Mandarin-focused large language models based on Meta’s LLaMA-3 architecture, with both foundational and instruction-tuned variants to support high-quality Chinese natural language understanding and generation. It extends the original LLaMA models with expanded Chinese vocabularies and additional pretraining on Chinese corpora to improve semantic encoding and decoding specifically for Chinese text.

...It includes a large collection of “Kaldi-style” recipes for many datasets such as LJSpeech, LibriTTS, VCTK, JSUT, CMU Arctic, and multiple singing voice corpora in Japanese, Mandarin, Korean, and more. The project provides pre-trained models, Colab demos, and example configurations, allowing researchers to quickly evaluate vocoder quality or adapt models to new datasets.

...Recognize video/audio speech to generate subtitle files (support Chinese-English translation, bilingual subtitles) Extract speech text from video/audio. Batch translation, filter processing/encoding SRT subtitle files. Using the Alibaba Cloud speech recognition interface, the accuracy is high, and the standard Mandarin/English recognition rate is over 95%. Video recognition does not need to upload the original video, which is convenient, fast and time-saving.

MockingBird is an open-source voice cloning and real-time speech generation toolkit that lets you clone a speaker’s voice from a short audio sample (reportedly as little as 5 seconds) and then synthesize arbitrary speech in that voice. It builds on deep-learning based TTS / voice-cloning technology (in the lineage of projects such as Real-Time-Voice-Cloning), but extends it with support for Mandarin Chinese and multiple Chinese speech datasets — broadening its applicability beyond English. The codebase is implemented in Python (with PyTorch) and includes modules for encoder, synthesizer, vocoder, preprocessing, and inference, as well as demo scripts and a web-server interface for easier experimentation or deployment. MockingBird supports both using pretrained models and training your own synthesizer (with custom datasets), giving flexibility for voice-cloning or custom-voice synthesis depending on your needs.

...It was initiated shortly after TensorFlow’s open-sourcing, with translation and proofreading contributions from a community of volunteers who aimed to bridge the language barrier for learners in China and other Mandarin communities. The repo mirrors the structure of the original English docs: chapters, sections, code examples, API references, and supplementary content like configuration and build guides. It includes additional files like a PDF version (compiled LaTeX/TeX sources), table of contents mappings, and translation metadata to track contributions. ...

The ZDT (Zhongwen Development Tool) is written in Java using the Eclipse RCP to help users study mandarin Chinese. The most important feature is the flashcard study feature. ZDT currently contains: * a Flashcard plugin for memorizing Chinese characters, their meaning and their pinyin/pronunciation. The user is able to import Character lists or enter them manually. This * a Dictionary search plugin with three dictionaries: ADSO, CeDict, HanDeDict.

A module that allows users to log in to a phpBB board using existing accounts such as Windows Live, Facebook and OpenID.

TCUI is a Graphical User Interface for mobile devices, running on Java 2 Microedition. So, this lighweight (only 47 KiB) library provides you automatic GUI. Components: Window, Pane, Tree, List, Menu, Text, Label, Combo, Check, Soft bar, Popup menu.

Mandarin is an open source ICQ client, build on the TCUI of the same author.

A desktop program to assist learners of Mandarin to understand and learn to read Chinese text. When the user enters Chinese-language text, ZWDisplay will display the text with the pronunciation of each word (in Pinyin) and an English translation.

This project is intended to aid students of Chinese (Mandarin) to memorize and review both Chinese characters and words. A method similar to flash cards is used.