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Word frequency list based on a 15 billion character corpus: BCC (BLCU . . . The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018，人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as
Common Idioms; A Collection by Grade [HSK old HSK 中考 高考 . . . ] The corpus is much larger than the CCL (470 million characters), the CNC (100 million characters), the SUBTLEX-CH (47 million characters) and the LCMC (less than 2 million characters) It seems as if the frequency lists derived from this corpus might be the most reliable frequency lists currently available
Integrating BCC Corpus Data into Dictionary - Pleco Software Forums The BCC corpus seems to have pretty loose licensing terms Pleco already seems to be using frequency data to sort the search results Adding them meaningfully to dictionary definitions would be even better, I believe That is something which printed dictionaries can’t do
Media-related vocabulary gathering project - Pleco Software Forums With a small corpus of 650 articles from People's Daily, downloaded using a Python script, I hope to start providing a more modern frequency list of media-related vocabulary The frequency list has the following features: It uses all sections of the 人民日报 People's Daily newspaper, including the sports section
Flashcards for TOCFL (2023), CCCC, TBCL - Pleco Software Forums I've parsed out vocabulary from these taiwanese tests and converted to flashcards in pleco's format Useful e g for seeing term levels, intended part of speech and sometimes definitions examples TOCFL vocab was updated some couple years ago and I haven't yet seen a processed version of the
Sentences flashcards generator (Python script) - Pleco Software Forums The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018，人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as
Bigrams sorted by frequency with pinyin English? The Beijing Language and Culture University created a balanced corpus of 15 billion characters It’s based on news (人民日报 1946-2018，人民日报海外版 2000-2018), literature (books by 472 authors, including a significant portion of non-Chinese writers), non-fiction books, blog and weibo entries as well as
Integrating BCC Corpus Data into Dictionary I guess in my case, I could go with per-corpus flashcard sets to keep the per-corpus tagging, and one user dictionary (without tags) with all the per-corpus ranking info included in one entry per term
Word frequency list based on a 15 billion character corpus: BCC (BLCU . . . I would read in the BCC corpus frequency list as a dictionary, then Having concatenated all the news magazine articles as plain text, I would build a dictionary of all the words in the news magazine articles up to 8 characters long, counting their number of occurrences with the help of the BCC frequency list (which tells us which combinations