论文标题
基于用法的语法类别学习
Usage-based learning of grammatical categories
论文作者
论文摘要
人类语言使用各种语法类别来约束哪些单词或短语可以填补语法模式的某些插槽，并通过形态句法手段来表达其他含义，例如时态或方面。这些语法类别通常是特定于语言的，并且随着时间的流逝而变化，很难定义和学习。本文提出了一个问题，即如何获得这些类别以及它们来自何处。我们探索一种基于用法的方法。这意味着，类别和语法结构是根据其在语言互动中的成功选择和对齐的。我们报告了一个多代理实验，其中代理具有理解和产生话语的机制，以及使用基于亲和反统一的元级学习过程来扩展其库存的机制。我们表明，根据语言交互的成功，具有得分的分类类型网络会导致语法类别的自发形成与语法模式的形成。
Human languages use a wide range of grammatical categories to constrain which words or phrases can fill certain slots in grammatical patterns and to express additional meanings, such as tense or aspect, through morpho-syntactic means. These grammatical categories, which are most often language-specific and changing over time, are difficult to define and learn. This paper raises the question how these categories can be acquired and where they have come from. We explore a usage-based approach. This means that categories and grammatical constructions are selected and aligned by their success in language interactions. We report on a multi-agent experiment in which agents are endowed with mechanisms for understanding and producing utterances as well as mechanisms for expanding their inventories using a meta-level learning process based on pro- and anti-unification. We show that a categorial type network which has scores based on the success in a language interaction leads to the spontaneous formation of grammatical categories in tandem with the formation of grammatical patterns.
