Register Variation Remains Stable Across 60 Languages

Li, H.; Dunn, J.; and Nini, A. (In Press). “Register Variation Remains Stable Across 60 Languages.” Corpus Linguistics and Linguistic Theory. Abstract. This paper measures the stability of cross-linguistic register variation. A register is a variety of a language that is associated with extra-linguistic context. The relationship between a register and its context is functional: … More Register Variation Remains Stable Across 60 Languages

Stability of Syntactic Dialect Classification Over Space and Time

Dunn, J. and Wong, S. (2022). “Stability of Syntactic Dialect Classification Over Space and Time.” In Proceedings of International Conference on Computational Linguistics (COLING 2022). 26-36. Abstract. This paper analyses the degree to which dialect classifiers based on syntactic representations remain stable over space and time. While previous work has shown that the combination of … More Stability of Syntactic Dialect Classification Over Space and Time

Predicting Embedding Reliability in Low-Resource Settings

Dunn, J.; Li, H.; & Sastre, D. (2022). “Predicting Embedding Reliability in Low-Resource Settings Using Corpus Similarity Measures.” In Proceedings of the 13th International Conference on Language Resources and Evaluation. European Language Resources Association. 6461-6470. Abstract This paper simulates a low-resource setting across 17 languages in order to evaluate embedding similarity, stability, and reliability under … More Predicting Embedding Reliability in Low-Resource Settings

Representations of Language Varieties Are Reliable

Dunn, J. (2021). “Representations of Language Varieties Are Reliable Given Corpus Similarity Measures.” In Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties, and Dialects. Association for Computational Linguistics. 28-38. Abstract. This paper measures similarity both within and between 84 language varieties across nine languages. These corpora are drawn from digital sources (the … More Representations of Language Varieties Are Reliable

Global Syntactic Variation in Seven Languages

Dunn, J. (2019). “Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology.” In Frontiers in Artificial Intelligence: Language and Computation. Abstract. The goal of this paper is to provide a complete representation of regional linguistic variation on a global scale. To this end, the paper focuses on removing three constraints that have previously limited … More Global Syntactic Variation in Seven Languages

Modeling Global Syntactic Variation in English

Dunn, J. (2019). “Modeling Global Syntactic Variation in English Using Dialect Classification.” In Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects (NAACL 19). Association for Computational Linguistics. 42-53. Abstract. This paper evaluates global-scale dialect identification for 14 national varieties of English as a means for studying syntactic variation. The paper … More Modeling Global Syntactic Variation in English

Profile-Based Authorship Analysis

Dunn, J; Argamon, S; Rasooli, A.; & Kumar, G. (2016) “Profile-Based Authorship Analysis.” Digital Scholarship in the Humanities, 31(4): 689-710. Abstract. This article presents a profile-based authorship analysis method which first categorizes texts according to social and conceptual characteristics of their author (e.g. Sex and Political Ideology) and then combines these profiles for two authorship … More Profile-Based Authorship Analysis

Finding Variants for Construction-Based Dialectometry

Dunn, J. (2018). “Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs.” Cognitive Linguistics, 29(2): 275-311. Abstract. This paper develops a construction-based dialectometry capable of identifying previously unknown constructions and measuring the degree to which a given construction is subject to regional variation. The central idea is to learn a grammar of constructions … More Finding Variants for Construction-Based Dialectometry