SUBTLEX-CH: Chinese word and character frequencies based on film subtitles.
SUBTLEX-CH: Chinese word and character frequencies based on film subtitles.
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DOI：
10.1371/journal.pone.0010729
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发表时间：
2010-06-02
期刊：
影响因子：
3.7
通讯作者：
Brysbaert M
中科院分区：
文献类型：
--
作者：
Cai Q;Brysbaert M
词频是语言研究中最重要的变量。然而，尽管人们对汉语的兴趣越来越大，但研究人员可用的词频测量方法却很少，而且质量也不如其他语言的研究人员。在New，Brysbaert和他的同事们在英语，法语和荷兰语的最新工作之后，我们根据电影和电视字幕语料库（4680万个字符，3350万个单词）组装了一个单词和字符频率数据库。与其他语言中的研究结果一致，新词和汉字频率比基于书面文本的测量更能解释汉语词命名和词汇决策绩效的差异。我们的研究结果证实，基于字幕的词频是对日常语言暴露的一个很好的估计，并捕获了文字处理效率的大部分差异。此外，我们的数据库是第一个包含有关单词上下文多样性的信息，并为多字符单词和使用单词的不同句法角色提供良好的频率估计。词频可供研究之用。
Word frequency is the most important variable in language research. However, despite the growing interest in the Chinese language, there are only a few sources of word frequency measures available to researchers, and the quality is less than what researchers in other languages are used to. Following recent work by New, Brysbaert, and colleagues in English, French and Dutch, we assembled a database of word and character frequencies based on a corpus of film and television subtitles (46.8 million characters, 33.5 million words). In line with what has been found in the other languages, the new word and character frequencies explain significantly more of the variance in Chinese word naming and lexical decision performance than measures based on written texts. Our results confirm that word frequencies based on subtitles are a good estimate of daily language exposure and capture much of the variance in word processing efficiency. In addition, our database is the first to include information about the contextual diversity of the words and to provide good frequency estimates for multi-character words and the different syntactic roles in which the words are used. The word frequencies are freely available for research purposes.
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