![]() ![]() Frodo, you shouldn’t make fun I was being serious.įrodo: So was I.” The Lord of the Rings: The Two Towersįrodo: I know, Sam. And that’s saying a lot.’įrodo: You’ve left out one of the chief characters – Samwise the Brave. Frodo was really courageous, wasn’t he, Dad?’ ‘Yes, my boy, the most famousest of hobbits. Sam: I wonder if people will ever say, ‘Let’s hear about Frodo and the Ring.’ And they’ll say ‘Yes, that’s one of my favorite stories. “ Sam: I wonder if we’ll ever be put into songs or tales. “ Sam: You know I don’t usually hold with foreign food, but this Elvish stuff – it’s not bad.įrodo: Nothing dampens your spirits, Sam.” The Lord of the Rings: The Two Towers To learn more, see the privacy policy.“ Frodo: Mordor… I hope the others find a safer road.įrodo: I don’t suppose we’ll ever see them again.įrodo: Sam… I’m glad you’re with me.” The Lord of the Rings: The Fellowship of the Ring Please note that Related Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source code that was used to bring you this list of term themed words: Concept Net, WordNet, and is still lots of work to be done to get this to give consistently good results, but I think it's at the stage where it could be useful to people, which is why I released it. You will probably get some weird results every now and then - that's just the nature of the engine in its current state. related words - rather than just direct synonyms.Īs well as finding words related to other words, you can enter phrases and it should give you related words and phrases, so long as the phrase/sentence you entered isn't too long. ![]() These algorithms, and several more, are what allows Related Words to give you. Another algorithm crawls through Concept Net to find words which have some meaningful relationship with your query. The vectors of the words in your query are compared to a huge database of of pre-computed vectors to find similar words. One such algorithm uses word embedding to convert words into many dimensional vectors which represent their meanings. ![]() Related Words runs on several different algorithms which compete to get their results higher in the list. ![]()
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