Connecting degree and polarity: An artificial language learning study

One prominent Linguistic expressions can be characterized along method is Artificial Language Learning (Friederici a variety of properties: what they mean, what parts et al., 2002; Motamedi et al., 2019; Kanwal et al., they consist of, how they combine with other expressions 2017; Culbertson et al., 2012; Ettlinger et al., 2014; and so on. Some of these properties are Finley and Badecker, 2009). It has the following systematically related to each other. When these main ingredients: relations appear systematically in language after language, they can be grounds for implicational linguistic 1. fragment of an artificial language in the universals, for example, Greenberg's Universal form of expressions that do not belong to the 37: A language never has more gender categories language that participants are speakers of; in nonsingular numbers than in the singular. (Greenberg, 1963). Here, two properties of linguistic 2. training phase, where some information expressions are related: the grammatical number about the language fragment is given to the of an expression and how many gender distinctions participants; are available for this expression. More complex 3. testing phase, where it is checked what other generalizations may concern correlation between knowledge, beside the provided, was inferred continuous properties A and B.