Fuzzy title matching

I have a few thousand rows of data related to movies, series and episodes. There is different representation of these titles for example the Friends-S3-E3or Friends-The one with the thumb or Friends-3.3.
I was wondering if we can’t train our own SLM, a very specific title match SLM to answer the basic questions of “tell me what title is represented by this string” or “Given that, this string is of the format -<E what is its real title?
Also, what approach should we follow to handle the scenario where we can have multiple language descriptions of the titles and our task is to get the title for unseen description.

Can we fine-tune a model which can handle the above problem description?