In this study I tried to analyze the Chinese character composition of about 60 interview articles in two Taiwanese online magazines, evaluate the data, produce a character frequency chart, character knowledge vs text recognition chart, do absolute character prediction calculations and compare the data with previous analyses that I have done. I sampled a total of 45 235 characters and found that there was a total of 1865 unique characters in this sample. Based on my calculations I also found that in order to recognize 100% (using the word 'to recognize' and not 'to understand' on purpose throughout the article) of any given number of interview articles, one needs to know 2084 unique Chinese characters. When comparing this data to my previous news character analyses I found, that the interview character frequency list contains much more direct speech elements than the news article character frequency one does and I've mathematically proven, that interview articles are easier to read for beginner and intermediate students of Mandarin Chinese than news articles are.
Introduction
In the past posts I was trying to analyze the frequency of words and characters based on the data that I sampled over the period of 6 weeks from 4 section of Taiwanese news (please see the Character frequency analysis, Word frequency analysis and Character prediction analysis articles for more information).
In the past posts I was trying to analyze the frequency of words and characters based on the data that I sampled over the period of 6 weeks from 4 section of Taiwanese news (please see the Character frequency analysis, Word frequency analysis and Character prediction analysis articles for more information).
