The Emergence of Argument Structure in Artificial Languages
نویسندگان
چکیده
Abstract Computational approaches to the study of language emergence can help us understand how natural languages are shaped by cognitive and sociocultural factors. Previous work focused on tasks where agents refer a single entity. In contrast, we predicate, that is, they express some relation holds between several entities. We introduce setup talk about variable number entities be partially observed listener. presence least-effort pressure, tend discuss only not Thus obtain artificial phrases denote entity, as well sentences languages, if ignore verb, usually concatenated, either in specific order or adding case markers form sentences. Our allows quantify much this emergent using metric call concatenability. also measure transitivity, which quantifies importance word order. demonstrate usefulness new metrics for studying factors influence argument structure. compare having access input representations structured into pre-segmented objects with properties, versus unstructured representations. results indicate awareness object structure yields more sentence organization.
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2022
ISSN: ['2307-387X']
DOI: https://doi.org/10.1162/tacl_a_00524