u/Hedgehog_Dapper

I am new to the embedding model and am using multilingual data; I want to match their similarities. Do I need to translate all of them into English for a good result, or will a multilingual embedding model handle it on its own?

Example

text1: Vaccines cause infertility
text2: Impfstoffe verursachen Unfruchtbarkeit

Can the multilingual embedding model match them without the translation of text2?

I am living in Germany. I wanted to travel from Cologne to Brest. The Global Pass allows a one-day inbound and outbound journey in the country of residence.

So, can I start my journey from Cologne(Germany) to Paris(France) by counting one travel day? Or do I need 1 for inbound in the home country and another (same day) for France?

In France, can we travel without seat booking on the TGV?