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Въ японскомъ языкѣ гендерная дифференціація сказывается даже на  морфологіи. Многія женщины ставятъ приставку о- ко многимъ существительнымъ, для приданія своей рѣчи оттѣнка уважительности. Поскольку въ наши дни воспитатели дѣтских садовъ и учителя начальной…
Въ языкахъ чукотско-камчатской семьи различія между мужской и женской рѣчью выходятъ на фонетическій уровень!

Тамъ, где мужчины-чукчи произносятъ дрожащій сонорный звукъ Р или сочетаніе РК, женщины произносятъ звукъ Ц или ЦЦ.

Напримѣръ, мальчикъ назовётъ моржа «рыркы», а дѣвочка «цыццы».



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Въ языкахъ чукотско-камчатской семьи различія между мужской и женской рѣчью выходятъ на фонетическій уровень!

Тамъ, где мужчины-чукчи произносятъ дрожащій сонорный звукъ Р или сочетаніе РК, женщины произносятъ звукъ Ц или ЦЦ.

Напримѣръ, мальчикъ назовётъ моржа «рыркы», а дѣвочка «цыццы».

BY ptasie mleczko


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The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. The regulator said it had received information that messages containing stock tips and other investment advice with respect to selected listed companies are being widely circulated through websites and social media platforms such as Telegram, Facebook, WhatsApp and Instagram. In the United States, Telegram's lower public profile has helped it mostly avoid high level scrutiny from Congress, but it has not gone unnoticed. The Securities and Exchange Board of India (Sebi) had carried out a similar exercise in 2017 in a matter related to circulation of messages through WhatsApp. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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