Kuvanveistäjä Nina Sailon (1906-1998) ensimmäinen Lotta-patsas paljastettiin Lappeenrannassa vuonna 1985. Patsaan rahoitti raumalainen talousneuvos Pauli Talvio.
Luonnollisen kokoinen pronssipatsas kuvaa lottaa talvimanttelissa ja matkavarusteet jalkojensa juuressa odottamassa kuljetusta komennukselle. Patsaan mallina oli rahoittaja Pauli Talvion vaimo Mirjami Talvio, joka oli toiminut sodan aikana lottana.
Patsaasta teetettiin kaksi toisintoa 2000-luvun alussa, joista toinen sijoitettiin Turkuun Tuomaanpuistoon ja toinen Tuusulaan, Lottamuseon puutarhaan.
Первая статуя Лотты работы скульптора Нины Сайло (1906-1998) была открыта в Лаппеенранте в 1985 году. Статую финансировал Паули Тальвио, финансовый консультант из Раумы.
Бронзовая статуя в натуральную величину изображает Лотту в зимнем пальто и дорожном снаряжении у ее ног, ожидающую транспортировки на командный пункт. Моделью статуи послужила жена финансиста Паули Тальвио Мирьями Тальвио, которая во время войны работала домработницей.
В начале 2000-х годов были изготовлены две версии статуи: одна из них была установлена в Туомаанпуйсто в Турку, а другая — в Туусуле, в саду Лоттамузео.
Researchers teach computer to be fluent in Finnish dialects
by University of Helsinki
A research group has built artificial intelligence (AI) models that can automatically detect, normalize and generate Finnish dialects. The results were published in The 2021 Conference on Empirical Methods in Natural Language Processing.
Collecting data for making an AI understand dialectal Finnish and Swedish has been on the news recently. The methods devised by the research group of Mika Hämäläinen, Niko Partanen, Khalid Alnajjar and Jack Rueter from the University of Helsinki take this further and enable an AI to be fluent in the Finnish dialects.
Within the paradigm of computational creativity, they have developed a method for converting standard Finnish into one of the 23 Finnish subdialects. Computers should not only be able to understand dialectal Finnish, but they should also be able to express themselves in a dialect.
"With our method, an intelligent system such as a robot can say akku on lopussa (battery is low), for example in Etelä-Karjala dialect akku o lopussa, Etelä-Satakunta dialect akku ol lopus or Länsi-Uusimaa dialect akku o lopus," Hämäläinen says.
For example, the commonly used algorithm of Google Translate fails to translate a dialectal Finnish sentence Oisko sulla jotai esimerkkei siit (Do you happen to have some examples of that) producing a completely incorrect "English" translation Oisko sulla something like that just because Google Translate has been built to work exclusively on standard Finnish. This same phenomenon can be observed with any AI tools that support Finnish like Apple Siri or dictation in macOS.
Dialects are detected from both spoken audio and text
The research shows that detecting dialects is a difficult task when relying on plain text. Dialect identification is easier when the model has access to audio as well because many dialects are marked with distinctive phonetic properties. Thus the latest research published by the researchers deals with detecting dialects from both spoken audio and text.
"The process of normalizing dialects to standard text has many benefits. It allows analyzing dialectal materials using tools for the Standard Finnish, and we can also use the normalized version as a search item when we want to find something from the dialectal materials", says Khalid Alnajjar.
The researchers remind that the problem of understanding dialects is complex and no model can understand natural language like humans do. But the created models open many more interesting directions for research, such as the degree to which a dialect deviates from the norm and what are the syntactic differences between different language varieties.
"With this we can improve the current state of Finnish natural language processing solutions and build AI models tailored for individuals. For example, we have already reached impressive results in speech recognition of one person's speech, even in endangered languages", Niko Partanen says
The research group has also developed a similar normalization methodology for the dialects of Swedish spoken in Finland (Hämäläinen et al., 2020b) and historical Finnish (Hämäläinen et al., 2021b).
The dialect generator can be tested online and the dialect normalizer and generator code have been released openly on Github. The dialect identification code can be found on Github as well.
Vuosina 1946–1948 evakot asutettiin muualle Suomeen. Siirtokarjalaisten traaginen kohtalo ja koti-ikävä sai heidät pitämään karjalaista kulttuuriaan ja heimoidentiteettiään yllä. Vuonna 1960 perustettu Pohjois-Karjalan lääni kohensi maakunnan kehitysnäkymiä. Pohjois-Karjalassa korostettiin karjalaista kalevalaista ja ortodoksista perintöä. Viipurin läänin rippeistä muodostettiin Kymen lääni, johon kuuluivat Etelä-Karjala ja Kymenlaakso. Etelä-Karjalassa pidettiin yllä Viipurin ja Kannaksen kulttuuriperintöä.
https://fi.wikipedia.org/wiki/Karjalan_historia
Nyky-Suomen Karjala-maakuntien alkuperäistä perustamisideaa
suomen maakuntakukat | the regional flowers of finland - [1] pohjois-karjala: prickly wild rose [2] etelä-karjala: lady of the snows [3] pohjois-savo: rowan [4] kainuu: heather [5] lappi: trollius europaeus [6] etelä-savo: nymphaea candida
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