クラシック映画からの英単語検索 -HuckEng.0- at Mac App Store analyse

Learn English words from emotion. In what context, with what kind of expression and utterance, do Hepburn or Bergman use that word? Last scene of "Roman Holiday", the princess responds to the correspondent asking "Which of the cities visited did Your Highness enjoy the most?", “Rome, by all means, Rome. I will cherish my visit here, in memory, as long as I live.” The most beautiful love confession and farewell notice among the masterpieces. (The word "love" does not appear in the dialogue of Princess Ann at all, but when you search for "love" this line including the thesaurus "cherish" will be presented. The last of "Casablanca". Bogarts cool farewell, “Well always have Paris. We got it back last night.” This app was made to know the emotions put in English words. We can search words from the scenes of classic films and learn the actors use what kind of context, body and facial expression, and utterance to use that word. We plan to add pieces of public domain sequentially. (How to use) When you enter a word in English or Japanese, the meaning of the word is output in English, followed by the scene of the movie including the word or thesaurus of that word and the dialogue of the scene are output. As for the search target, 1. Heroine, 2. The main character, 3. Everyone, you can choose one out of the three types, The dialogue output format is 1. Only English sentences, 2. Serif with a token, 3. It is possible to select each Japanese sentence. By selecting from the cc (closed caption) button, it is also possible to output English text or spoken dialogue in the screen. In the scene search, 1. love (kiss, embrace, farewell ...) 2. action (prank, shrug, fiddle ...), In facial expression search, 1. laugh (joy ...) 2. smile 3. fun (pout, satisfaction, longing, fib, lie, fiddle ...) 4. sad (lonely, worry, confused ...) 5. fear (hysteria ...) 6. disgust (bored ...) 7. anger 8. surprise (appalled ...) 9. natural (noble, intent, prim ...) You can search scenes from nine types of facial expressions.