Hi, Ayuko here.

Hi. Ayuko here. Yes, I’d love it if you say hi!
Most of the content on my blog is in Japanese; some posts are written in English. In Google Chrome and Safari, you can translate a webpage into a language of your choice by right-clicking and choosing Translate. They do a surprisingly good job, and I appreciate it because none of us speaks everything. (If things don’t make sense feel free to let me know. I’ll be happy to explain.)


That said, there’s a caveat. Neural machine translation like Google Translate will alter the sentiment of the source text. And the sentiment that comes out will likely be more negative than the original.


I’ve always wondered why the Japanese texts translated by machine often have this slightly depressed (or depressing or dissatisfied) tone I don’t detect in the original sentences. Japanese and English are the only two languages in which I’m proficient enough to read between the lines. So I wasn’t sure if this was a Japanese-English thing.


A few weeks ago I was checking the English translation of a Japanese newsletter, noticed this again, and finally googled why. There were many pieces of research for various language combinations. The data analysis parts of an academic paper I have no idea what they’re talking about, but I do enjoy reading the discussion parts.


So here’s this AI layperson’s narrative on how to interpret Google Translate’s job.
1. We humans are naturally biased to be negative, because a lion in the bush.
2. Machine imitates humans, thus will translate a lot like us.
3. For accurate translation, turn up the positivity just a little.  Setting > Sentiment Adjustment. :)



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慢性膵炎の人が ちょっとしあわせになる 13のレシピ物語」


If you feel like hearing from me every other Friday:
So far I’ve been writing my newsletters in Japanese, but each issue has a machine-translated English version at the end of the Japanese original, courtesy of “DeepL Translate: the world’s most accurate translator.” It’s free. I don’t know if it’s the world’s most accurate, but it’s my current favorite. No, they’re not paying me. I should be paying them! ;)

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