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 … The Beijing Language and Culture University created a balanced corpus of 15 billion characters. It’s based on news (δΊΊζ°‘ζ—₯ζŠ₯ 1946-2018οΌŒδΊΊζ°‘ζ—₯ζŠ₯ζ΅·ε€–η‰ˆ 2000-2018), literature (books … 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 …

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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 … PyCantonese comes with one built-in corpus, the Hong Kong Cantonese Corpus. For corpora other than HKCanCor, PyCantonese provides the function read_chat () to read in Cantonese … Word frequency list based on a 15 billion character corpus: BCC (BLCU ...

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