Categorizing words using 'frequent frames': what cross-linguistic analyses reveal about distributional acquisition strategies.
Categorizing words using 'frequent frames': what cross-linguistic analyses reveal about distributional acquisition strategies.
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DOI：
10.1111/j.1467-7687.2009.00825.x
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发表时间：
2009-04
影响因子：
3.7
通讯作者：
Christophe A
中科院分区：
文献类型：
--
作者：
Chemla E;Mintz TH;Bernal S;Christophe A
描述了一种称为框架的分布式环境，定义为两个上下文单词与一个中间目标单词的共现。对英语儿童导向语音的分析表明，落入任何频繁出现的框架内的单词始终属于同一语法类别（例如，名词、动词、形容词等）。在本文中，我们首先将这一结果推广到法国，其功能词系统允许的模式，是潜在的有害的框架为基础的分析过程。其次，我们表明，所选环境的不连续性-即，目标词由上下文词框定的事实对于该机制是有效的至关重要。这一性质可能与任何语法分类的计算方法有关。最后，我们调查了递归应用程序，并观察到，分类是矛盾的情况下，上下文元素的类别，而不是实际的词汇项目。因此，项目特异性也是这种类型算法的核心计算原则。我们的分析，沿着从行为研究的结果，提供了强有力的支持框架作为基础的语法类别的收购由婴儿。不连续性和项目特异性似乎是关键特征。
described a distributional environment called a frame, defined as the co-occurrence of two context words with one intervening target word. Analyses of English child-directed speech showed that words that fell within any frequently occurring frame consistently belonged to the same grammatical category (e.g., noun, verb, adjective, etc.). In this paper, we first generalize this result to French, whose function word system allows patterns that are potentially detrimental to a frame-based analysis procedure. Second, we show that the discontinuity of the chosen environments –i.e., the fact that target words are framed by the context words– is crucial for the mechanism to be efficient. This property might be relevant for any computational approach to grammatical categorization. Finally, we investigated a recursive application of the procedure and observed that the categorization is paradoxically worse when context elements are categories rather than actual lexical items. Item-specificity is thus also a core computational principle for this type of algorithm. Our analysis, along with results from behavioral studies, provide strong support for frames as a basis for the acquisition of grammatical categories by infants. Discontinuity and item-specificity appeared to be crucial features.
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