Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago

Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago

It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago

You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago

To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago

Kafkai An AI algorithm that can write articles from scratch. Source: 11 months ago

I heard this was the very best tool for writing research papers: https://kafkai.com/en/. Source: about 1 year ago

Anybody ever try https://kafkai.com/ or https://ai-writer.com/ within this medical writing context?? The way they market themselves at least seems to be that they're a little more advanced than the GPT-3 platforms 🤷‍♂️. Source: over 1 year ago

Content generation is such a time-suck for small businesses, and it seems like an interesting vertical to apply AI. The AI would generate the content after being given a prompt. There are already a few tools trying this, but the quality doesn't seem to be very high. Source: about 3 years ago