일본 IT뉴스 어휘 분석 연구

A Study on the Vocabulary of IT News in Japan

本稿は日本の経済専門ニュースの『産経ニュース』の経済欄のIT分野記事 の1ヵ月分をその分析対象にした。『KH Coder』を利用して語彙を分析して分析された語彙を基に語彙の品詞別、語種別の分析をおこなって異なり語の数が多い語彙の順に整理した。調査の結果、異なり語数は1,964語で出現頻度を数えて一番多く出る語彙から提示して語彙学習の優先順位を決定できるようになる。 品詞別の分類は名詞が73.3%、動詞が14.1%、形容詞が5.9%、副詞が 5.7%、感動詞が0.2%、否定助動詞が0.2%、未知語が0.2%を占めた。 語種別の分類は異なり語数の1,964語の中で語種別分類の対象となる語 彙数は1,716語である。語種を和語、漢語、外来語、混種語に分け、和語はひらがな語彙と漢字語彙に分けた。漢語は別に分類して、外来語は片仮名語彙とローマ字語彙に分けた。混種語は「和語+漢語」「漢語+和語」「外来語+漢語」に分けた。

In this work, we analyze one-month articles about IT in the field of economy extracted from Sankei News. We utilize the tool KH Coder in order to analyze the vocabulary of the articles in terms of parts-of-speech and kinds of words and organize the result in the order of the frequency of word types. This process reveals that the number of word types is 1,964, which enables us to determine the preference order whereby learners study words in the order of frequently attested words. As for the classification of words based on parts-of-speech, the nouns account for 73.3%, the verbs 14.1%, the adjectives 5.9%, the adverbs 5.7%, the interjections 0.2%, the negative auxiliaries 0.2%, and the unknown words 0.2%. As for the classification of words based on kinds of word, the number of target words is 1,716 out of 1,964 word types. The kinds of words in this study consist of native Japanese words, Chinese loan words, non-Chinese loan words, and hybrid words, with native Japanese words being further subdivided into hiragana-words and kanji-words. Chinese loan words being set side, non-Chinese loan words are divided into katakana-words and Romanized-words. Hybrid words are divided into “native Japanese words+Chinese loan words,” “Chinese loan words+native Japanese words,” and “non-Chinese loan words + Chinese loan words.”