Most linguistic theories postulate structures with covert information, not directly recoverable from utterances. Hence, learners have to interpret their data before drawing conclusions. Within the framework of Optimality Theory (OT), Tesar & Smolensky (1998) proposed Robust Interpretive Parsing (RIP), suggesting the learners rely on their still imperfect grammars to interpret the learning data. I introduce an alternative, more cautious approach, Joint Robust Interpretive Parsing (JRIP). The learner entertains a population of several grammars, which join forces to interpret the learning data. A standard metrical phonology grammar is employed to demonstrates that JRIP performs significantly better than RIP.

中文翻译：

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携手发现结构：最优理论中的联合鲁棒解释性解析

大多数语言理论都假定结构具有隐秘信息，无法直接从话语中恢复。因此，学习者必须在得出结论之前先解释他们的数据。在最佳理论（OT）的框架内，Tesar＆Smolensky（1998）提出了健壮的解释性解析（RIP），建议学习者依靠其仍不完善的语法来解释学习数据。我介绍了另一种更为谨慎的方法，即联合鲁棒解释性解析（JRIP）。学习者可以欣赏多种语法，这些语法共同解释了学习数据。使用标准的音位语音语法来证明JRIP的性能明显优于RIP。