An Attempt to Classify and Extract Role Language by Using a Quantitative Approach

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Other Title
  • 計量的アプローチによる役割語の分類と抽出の試み
  • 計量的アプローチによる役割語の分類と抽出の試み : テレビゲーム『ドラゴンクエスト3』を例に
  • ケイリョウテキ アプローチ ニ ヨル ヤクワリゴ ノ ブンルイ ト チュウシュツ ノ ココロミ : テレビゲーム 『 ドラゴンクエスト 3 』 オ レイ ニ
  • In the Case of Video Game “Dragon Quest 3”
  • テレビゲーム『ドラゴンクエスト3』を例に

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Abstract

This paper attempts to classify and extract role language from a video game which is a new linguistic text. After using cluster analysis and specialization coefficient on “Dragon Quest 3 ”, I found 6 clusters as follows: 1. Outsiders’ language (the case particles GA/WO, and the adverbial particle HA are seldom used); 2. Women’s language (the pronoun ATASHI, the auxiliary verb CHAU, the adverbial particles TTARA/NANNTE, the conjunction particle KEREDO, the final particles KASHIRA/MONO/WA/NO/NE, and the interjections KYA-/MAA/ARA are frequently used); 3. Neutral language (there are no characteristic expressions in this group); 4. Elders’ language (the pronouns SONATA/WASHI, the auxiliary verbs JYA/TORU/DEARU/MAI, the adverbial particle NAZO, the final particles NOU/ZOI/ZO, and the interjection YAREYARE are frequently used); 5. Men’s language (the pronouns OMEE/ORE/ANNTA, the auxiliary verbs YAGARU/CHIMAU/TEYARU, the adverbial particle NANNKA, the final particles ZE/I/SA, and the interjections HEI/OI are frequently used); 6. Boys’ language (the pronoun BOKU, the final particles YOU/SA/YA/NAA, the quasi-nominal particle N, and the interjections WA-I/NEE are frequently used). It means that adverbial particles and conjunction particles receiving less attention before may be a factor of role language.

Journal

  • Mathematical Linguistics

    Mathematical Linguistics 32 (2), 103-116, 2019-06-20

    The Mathematical Linguistic Society of Japan

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