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題名 | Some Current Quantitative Problems in Corpus Linguistics and a Sketch of Some Solutions=語料庫語言學量化研究的問題及其解決方案 |
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作者 | Gries, Stefan Th.; Gries, Stefan Th.; | 書刊名 | 語言暨語言學 |
卷期 | 16:1 2015.01[民104.01] |
頁次 | 頁93-117 |
專輯 | Language and Computation: A Synergy |
分類號 | 312.13 |
關鍵詞 | 關連性度量; 詞次/詞種頻率; 混合效應/多層次模型; 以變異性為本的連結群聚法; Association measures; Mixed-effects/multi-level modeling; MuPDAR; Token/type frequencies; Variability-based neighbor clustering; |
語文 | 英文(English) |
中文摘要 | 目前迅速發展的語料庫語言學面臨眾多研究方法的挑戰。與語料庫語言學本身相關的方法論問題─資料的散布離差、詞種頻率/亂度、與資料隱含的方向性問題等,直接影響語料相關性指標的計算;忽視語料庫的資料取樣結構也與之後的統計分析結果直接相關。歷史語言學與學習者語料庫研究等領域應用語料庫語言學時,也有方法論的問題。本文詳細討論以上所提到的問題,並具體提出實例演示相對應的解決方法。 |
英文摘要 | This paper surveys a variety of methodological problems in current quantitative corpus linguistics. Some problems discussed are from corpus linguistics in general, such as the impact that dispersion, type frequencies/ entropies, and directionality (should) have on the computation of association measures as well as the impact that neglecting the sampling structure of a corpus can have on a statistical analysis. Others involve more specialized areas in which corpus-linguistic work is currently booming, such as historical linguistics and learner corpus research. For each of the problems, first ideas/pointers as to how these problems can be resolved are provided and exemplified in some detail. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。