Credits & Licenses
CC-CEDICT Dictionary
This application uses data from CC-CEDICT (Creative Commons Chinese-English Dictionary), a Chinese-English dictionary project.
License: Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)
Source: MDBG Chinese Dictionary
CC-CEDICT is licensed under CC BY-SA 4.0. This means you are free to share and adapt the dictionary data, provided you give appropriate credit and distribute your contributions under the same license.
audio-cmn Audio Files
This application uses pre-recorded Chinese word audio files from the audio-cmn repository.
Source: hugolpz/audio-cmn on GitHub
These audio files are used for pronunciation of Chinese words. Please refer to the audio-cmn repository for the specific license terms and attribution requirements.
FSRS Algorithm
This application uses the Free Spaced Repetition Scheduler (FSRS) algorithm for optimal learning intervals.
License: MIT License
Source: open-spaced-repetition/free-spaced-repetition-scheduler
Copyright (c) FSRS contributors. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the condition that the above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
SUBTLEX-CH Word Frequency Data
This application uses word frequency data from SUBTLEX-CH (Chinese word and character frequencies based on film subtitles) for vocabulary expansion.
Source: Ghent University - Department of Experimental Psychology
URL: SUBTLEX-CH Dataset
Citation: Cai, Q., & Brysbaert, M. (2010). SUBTLEX-CH: Chinese word and character frequencies based on film subtitles. PLoS ONE, 5(6), e10729.
SUBTLEX-CH provides Chinese word frequencies based on film subtitles, which is more representative of modern spoken Chinese than traditional frequency dictionaries. The dataset is freely available for research and educational purposes.