Sunday, March 29, 2020

Shift of mood in the saga of Japan's coping with the coronavirus.



With the outbreak of COVID-19, countries all over the globe have taken stringent measures. Japan has been one of the rare exceptions, where even a partial lockdown has not been taken.

Things have started to change a bit in the run-up to this weekend. On Friday, Ms. Yuriko Koike, the governor of Tokyo spoke at a press conference and suggested that people refrain from going out unless necessary. The wordings and the regulations behind were not so draconian as in other parts of the world, but the Japanese people took the message. In a characteristically obedient response, there were very few people in the central districts of Tokyo on Saturday, with many shops and restaurant closed or operating under reduced staff and opening hours. 

The reaction to the coronavirus outbreak has been varied across countries, and it is interesting to observe how the dramatic development is being played out here in Tokyo and elsewhere in Japan. I am of course very much concerned with health and safety. At the same time, I would be actively interested in how Japan copes with this difficulty in her own way, as somebody born and grown up in this country.

Related video:

Atmosphere in Tokyo under potentially imminent lockdown.




Tuesday, March 24, 2020

Semantics is a part of the mind-brain problem.



Although research on artificial natural language processing has made great progress, so far it is avoiding the most salient feature of language: Meaning of words. 

For sure, among some circles a call for taking the semantics seriously would stir (superficial) jeers. However, at the end of the day, the meaning of words is the most obvious thing to tackle if you want to take natural language seriously.

Phenomenologically speaking, meanings of words are instances of intentional qualia. As is true for qualia in general, statistical approach cannot uncover the fundamental aspects of the meaning of words.

Statistical learning has made great progress in recent years. Feats like GPT-2 are impressive. However, these statistical methods cannot tackle the semantic sides of language no matter how impressive their results might appear. 

Semantics is a part of the mind-brain problem. Technical separation of language processing from consciousness studies is good for a while, but it cannot be the ultimate route for understanding why and how we speak.


Related video:
Meaning of words and intentionality