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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.

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

Inflectional morphology provides a unique platform for a discussion of whether morphological productivity is rule-based or analogy-based. The present study testing 140 children ( range = 29 to 97 months; M(SD) = 64.1(18.8)) on an elicited production task investigated the acquisition of the irregular distribution in the Turkish aorist. Results suggested that to discover the allomorphs of the Turkish aorist, children initially carried out similarity comparisons between analogous exemplars, which helped them tap into phonological features to induce generalizations for regulars and irregulars. Thereafter to tackle the irregularity, children entertained competing hypotheses yielding overregularizations and irregularizations. While the trajectory of overregularizations implicated the gradual formulation of an abstraction based on type-frequency, irregularizations suggested both intrusion of analogous exemplars and children’s attempts to default to an erroneous micro-generalization. Our findings supported a model of morphological learning that is driven by analogy at the outset and that invokes rule-induction in later stages.