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 (人民日报 1946-2018，人民日报海外版 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 …
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 …
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 ...