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marcan42's profile
Hector Martin
Hector Martin
Hector Martin
@marcan42

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Hector Martin

@marcan42

If it ain't broke, I'll fix it! I'm porting Linux to Apple Silicon Macs at @AsahiLinux. http://patreon.com/marcan  | http://github.com/sponsors/marcan 

Tokyo, Japan
marcan.st
Joined May 2009

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    1. Hector Martin‏ @marcan42 12 Mar 2020
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      Replying to @AT1ST @NiwaRhythm

      Casual/slangy Japanese is full of context-sensitive contractions and abbreviations that machine translation has no hope of ever getting right without being actually intelligent.

      1 reply 4 retweets 271 likes
    2. Alexander The 1st‏ @AT1ST 12 Mar 2020
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      Replying to @marcan42 @NiwaRhythm

      Ah, so it's like how someone in English might say that something's "The bomb" to say it's awesome, and it getting interpreted into "The explosive device" in a different language then?

      6 replies 10 retweets 333 likes
    3. This Tweet is unavailable.
    4. Hector Martin‏ @marcan42 13 Mar 2020
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      Replying to @TigerGold59 @AT1ST @NiwaRhythm

      Machine learning cannot handle this in all cases. You need hard AI (or better). The kind that could be reasonably said to be conscious and given human rights.

      1 reply 0 retweets 5 likes
    5. Hector Martin‏ @marcan42 13 Mar 2020
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      Replying to @marcan42 @TigerGold59 and

      Watch this for a good explanation why.https://youtu.be/GAgp7nXdkLU 

      1 reply 0 retweets 1 like
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    8. Hector Martin‏ @marcan42 13 Mar 2020
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      Replying to @TigerGold59 @AT1ST @NiwaRhythm

      The space of possible language is much, much more vast than the entire body of written human works. Most sentences have never been said before, ever. Therefore, learning from past translations isn't going to give you a solution for new ones. It'll help, but it won't solve it.

      1 reply 0 retweets 4 likes
    9. Alexander The 1st‏ @AT1ST 13 Mar 2020
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      Replying to @marcan42 @TigerGold59 @NiwaRhythm

      Also, language is a moving target. Like if machine learning was trying to learn how to identify bees by photos of bees, and then they evolved into a different species while machine learning was trying to learn to identify bees.

      1 reply 0 retweets 2 likes
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      Hector Martin‏ @marcan42 13 Mar 2020
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      Replying to @TigerGold59 @AT1ST @NiwaRhythm

      It really doesn't work like that. You need actual intelligence, not just "more training". Did you watch the video?

      3:49 PM - 13 Mar 2020
      2 replies 0 retweets 0 likes
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        2. Hector Martin‏ @marcan42 13 Mar 2020
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          Replying to @TigerGold59 @AT1ST @NiwaRhythm

          A human does not use just the text. A human uses the full extent of shared consciousness, culture, current events, imagination, etc. Translation is a creative endeavour, not a mechanical one.

          1 reply 0 retweets 4 likes
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