花园幽径模式行进错位的量化研究: 计算语言学视角

该文讨论了花园幽径模式行进错位过程中的困惑商指数。非对称性信息断层的存在导致解码呈现否定之否定的螺旋上升态势。行进错位的潜在效应幅度可通过困惑商指数得到测定。基于大数据语料库统计方法和在线剖析器分析方法,我们测算出优选结构困惑商指数介于(-∞,1];非优选结构困惑商指数介于[1,2];两结构临界值分别为0.72和1.28;歧义域为[0.72,1.28]。结论认为,多结构频数差异是导致困惑商指数变化的根本;行进错位的幅度和非对称性信息补偿的强度均与困惑商指数相关;基于统计的困惑商指数可对局部歧义的复杂句结构提供前瞻性解码信息。

Quantitative Research on the Processing Breakdown in Garden Path: A Computational Linguistic Perspective

This article discusses the confusion quotient (CQ) index in the processing breakdown of the garden path phonomenon. The presence of asymmetric information breakdown could lead to spiral upward trend of decoding which showed the pattern of double negation. The amplitude of potential effects of processing breakdown could be measured through the CQ index. Based on large data corpus statistics and online parser analytic method, we calculate the value of CQ index. CQ duration for the preferred construction lies between (-∞, 1], and for the non-preferred construction, [1,2]. The critical values for the preferred and non-preferred structures are 0.72 and 1.28 respectively, and the ambiguous domain lies in [0.72, 1.28]. It is concluded that the frequency deviation of multi-structures is a fundamental reason to lead to different CQ index. The amplitude of processing breakdown and magnitude of asymmetry information compensation are related to CQ index. It is revealed that the statistics-based CQ index can provide the prospective information for decoding the complex structure of local ambiguity.