Abstract We investigate internal and stylistic factors affecting binary and ternary relativizer choice in subject (that vs which) and non-subject (that vs which vs zero) relative clauses. We employ a novel methodological approach to predicting relativizers: Bayesian regression modeling with the dimensional reduction of model inputs via factor analysis. Our factor analysis is motivated by the high degree of redundancy and collinearity in natural language data, while Bayesian regression models are robust to effects of data sparseness and (near) separation. We find that in both types of relative clauses, the more marked variant (which) is preferred in complex contexts, while the unmarked variant (that, or zero in NSRCs) is favored in contexts where the relative clause is short and more fully integrated with the NP it modifies. We also find that use of which is somewhat more sensitive to stylistic considerations in subject than in non-subject relative clauses, and that which correlates most strongly with features associated with lexical density, e. g. ‘nouniness’, rather than those often associated with formality, e. g. passivization and sentence length.

中文翻译：

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限制限制性相对论

摘要我们研究了在主语（that vs which）和非主语（that vs which vs vs 0）相对从句中影响二元和三元相对化器选择的内部和风格因素。我们采用一种新颖的方法来预测相对论者：贝叶斯回归建模，通过因子分析减少模型输入的维数。我们的因素分析是由自然语言数据的高度冗余和共线性引起的，而贝叶斯回归模型对数据稀疏和（近）分离的影响具有鲁棒性。我们发现，在两种类型的相对从句中，标记标记的变体（在复杂上下文中是首选），而未标记标记的变体（在NSRC中为零）在相对子句较短且与标记更完整地结合的上下文中受青睐。它修改的NP。我们还发现，与非主词相对从句相比，在主语中对语种方面的考虑更敏感，并且与词法密度相关的特征（如e）之间的联系最为紧密。G。“不诚实”，而不是经常与形式有关的东西，例如 G。钝化和句子长度。