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1

For chrome there are a few extensions that can add pinyin to the current web page: Add Pinyin Simplified-Traditional-Converter (includes pinyin) github repo (replaces the original text with pinyin rather than appending). A while ago I forked DoctorLai's repo and made it work in append mode rather than replace but the fork is more of an experiment rather ...


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An idea coming from here suggests to take the HSK vocabulary list annotated with pinyin and put the words list to Google translate. The post's author found 11% of words incorrectly converted for HSK level 1-3 words. The issue is that the official HSK website provides only a words-list without pinyin in an excel format. However, you can find respectively here ...


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You can try searching a site like http://www.fonts.net.cn/ with queries such as 繁行. Unfortunately, a lot of these just map simplified code points to traditional glyphs and don't even contain mappings for the corresponding traditional code points. But it looks like at least some of them work with traditional code points, such as 王漢宗中行書繁.


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Regarding #2, you can try installing Stylebot or a similar browser extension, then adding the following custom styles: body * { writing-mode: tb-rl; text-orientation: upright; } #stylebot-container * { writing-mode: lr-tb !important; } Layout will be anywhere from a bit messed up to massively messed up, depending on the site, but the text will be ...


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This is a non-trivial task. For example, in the sentence below, are 李三 张三 both name of people? 李三买了一张三角桌子。 A deep-learning based algorithm is your best bet, for example: https://zhuanlan.zhihu.com/p/61227299 https://github.com/wainshine/Chinese-Names-Corpus


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Depending on your use case, you could consider an approach like the following: Segment the text into words using some tried-and-trained machine learning algorithm (this step alone will already yield imperfect results). Look up each word in the free and downloadable CC-Cedict dictionary. Check if the Pinyin field for that word's CC-Cedict entry begins with ...


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It seems to be an impossible task. For example this sentence 加利福尼亚在美国。 There are two names in the sentence, the first one has five characters, and the second one has two characters. Unless you have come across these names before, you would not know. Names after 叫 must be a very tiny part of all places where a name springs up.


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