{"version":"1.0","type":"rich","title":"Gist 285672","description":"This example demonstrates a language identification system by modeling text as bigram frequencies. It shows the most common two-letter sequences from a given input text, sorted by frequency. The Python code builds a bigram model using `ngrams` and `bigrams` functions, counts occurrences with a `defaultdict`, and removes rare bigrams below a threshold. It relies on the `collections` module and `operator.itemgetter` for sorting. The program reads a UTF-8 text file from the command line and prints the top ten bigrams with their counts.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-285672?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}