That's what I'm talking about.
Now, I can propose possible methods for you to consider, as you build this out.
Let's look at the last thing you wrote, because this seems like the real goal and is more challenging than just randomly separating strings...
If you have datasets (the strings that will go into column A) limited to 12 characters in length, it's quite possible to create a "search engine" to find meaningful words. I'm not really conversant with finite state machines, directed graphs and tries [link], so I'll leave that to you.
My approach, which may work with small datasets, is to create a dictionary of 3-letter words, 4-letter words and 5-letter words. You would pre-load this dictionary every time you wanted to process a list of words in column A.
Now a simple iteration would be required to loop through each string. For example, if the string is "thenicecat" you would compare the following substrings to your 3-letter word dictionary: THE, HEN, ENI, NIC, ICE, CEC, ECA and CAT
Depending on what you were hoping to accomplish, you could pause after each successful match and start a second search for another word. If you don't find a 3-letter word immediately following THE, you could check the 4-letter word dictionary and so on.
Obviously, the success of the splitting will depend on how comprehensive your dictionary is. But let's assume you have all the words. It won't take long for your procedure to detect THE, NICE and CAT. You can output the split string and move on to the next string in the list.
I hope this gives you some ideas for how to proceed.