A Gold Standard to Measure Relative Linguistic Complexity with a Grounded Language Learning Model

Leonor Becerra-Bonache, Henning Christiansen, M. Dolores Jiménez-López

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This paper focuses on linguistic complexity from a relative perspective. It presents a grounded language learning system that can be used to study linguistic complexity from a developmental point of view and introduces a tool for generating a gold standard in order to evaluate the performance of the learning system. In general, researchers agree that it is more feasible to approach complexity from an objective or theory-oriented viewpoint than from a subjective or user-related point of view. Studies that have adopted a relative complexity approach have showed some preferences for L2 learners. In this paper, we try to show that computational models of the process of language acquisition may be an important tool to consider children and the process of first language acquisition as suitable candidates for evaluating the complexity of languages.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Linguistic Complexity and Natural Language Processing : A workshop at COLING 2018: The 27th International Conference on Computational Linguistics
EditorsLeonor Becerra-Bonache, M. Dolores Jiménez-López, Carlos Martín-Vide, Adrià Torrens-Urrutia
Place of PublicationSanta Fe
PublisherAssociation for Computational Linguistics
Publication date2018
ISBN (Print)9781948087629
Publication statusPublished - 2018
EventThe 27th International Conference on Computational Linguistics: Workshop on Linguistic Complexity and Natural Language Processing - Santa Fe Community Convention Center, Santa Fe, United States
Duration: 20 Aug 201826 Aug 2018


ConferenceThe 27th International Conference on Computational Linguistics
LocationSanta Fe Community Convention Center
Country/TerritoryUnited States
CitySanta Fe
Internet address

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