Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

Dunn, Jonathan

doi:10.18653/v1/w19-2913

Cited by 17 publications

(34 citation statements)

References 36 publications

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“…This paper evaluates two alternate CxGs for dialectometry, alongside function words and lexical features: CxG-1 (Dunn, 2018a , b ) and CxG-2 (Dunn, 2019a ). As described and evaluated elsewhere (Dunn, 2019a ), CxG-1 relies on frequency to select candidate slot-constraints while CxG-2 relies on an association-based search algorithm. The differences between the two competing discovery-device grammars as implementations of different theories of language learning are not relevant here.…”

Section: Methodsmentioning

confidence: 99%

“…CxG itself is a usage-based paradigm that views grammar as a set of overlapping constructions made up of slot-fillers defined by syntactic, semantic, and sometimes lexical constraints (Goldberg, 2006;Langacker, 2008). This paper draws on recent approaches to computational modeling of CxGs (Dunn, 2017(Dunn, , 2018b(Dunn, , 2019a, including previous applications of a discovery-device CxG to dialectometry for English (Dunn, 2018a(Dunn, , 2019b.…”

Section: Finding Syntactic Variantsmentioning

confidence: 99%

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Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Dunn

2019

Front. Artif. Intell.

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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 work within dialectology/dialectometry. First, rather than assuming a fixed and incomplete set of variants, we use Computational Construction Grammar to provide a replicable and falsifiable set of syntactic features. Second, rather than assuming a specific area of interest, we use global language mapping based on web-crawled and social media datasets to determine the selection of national varieties. Third, rather than looking at a single language in isolation, we model seven major languages together using the same methods: Arabic, English, French, German, Portuguese, Russian, and Spanish. Results show that models for each language are able to robustly predict the region-of-origin of held-out samples better using Construction Grammars than using simpler syntactic features. These global-scale experiments are used to argue that new methods in computational sociolinguistics are able to provide more generalized models of regional variation that are essential for understanding language variation and change at scale.

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Section: Methodsmentioning

confidence: 99%

Section: Finding Syntactic Variantsmentioning

confidence: 99%

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Dunn

2019

Front. Artif. Intell.

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“…For the former approach, we should mention the works of Dunn (2017Dunn ( , 2019) that aim at automatically inducing a set of grammatical units (Cxs) from a large corpus. On the one hand, Dunn's contributions provide a method for extracting Cxs from corpora, but on the other hand they are mainly concerned with the formal side of the constructions, and especially with the problem of how syntactic constraints are learned.…”

Section: Related Workmentioning

confidence: 99%

Distributional Semantics Meets Construction Grammar. towards a Unified Usage-Based Model of Grammar and Meaning

Rambelli¹,

Chersoni²,

Blache³

et al. 2019

Proceedings of the First International Workshop on Designing Meaning Representations

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In this paper, we propose a new type of semantic representation of Construction Grammar that combines constructions with the vector representations used in Distributional Semantics. We introduce a new framework, Distributional Construction Grammar, where grammar and meaning are systematically modeled from language use, and finally, we discuss the kind of contributions that distributional models can provide to CxG representation from a linguistic and cognitive perspective.

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“…This paper combines grammar induction (Dunn, 2018a(Dunn, , 2018b(Dunn, , 2019) and text classification (Joachims, 1998) to model syntactic variation across national varieties of English. This classification-based approach is situated within the task of dialect identification (Section 2) and evaluated against other baselines for the task (Sections 7 and 8).…”

Section: Syntactic Variation Around the Worldmentioning

confidence: 99%

“…Past approaches to syntactic representation for this kind of task used part-of-speech n-grams (c.f., Hirst & Feiguina, 2007) or lists of function words (c.f., Argamon & Koppel, 2013) to indirectly represent grammatical patterns. Recent work (Dunn, 2018c), however, has introduced the use of a full-scale syntactic representations based on grammar induction (Dunn, 2017(Dunn, , 2018a(Dunn, , 2019 within the Construction Grammar paradigm (CxG: Langacker, 2008;Goldberg, 2006). The idea is that this provides a replicable syntactic representation.…”

Section: Learning the Syntactic Feature Spacementioning

confidence: 99%

Modeling Global Syntactic Variation in

Dunn¹

2019

Proceedings of the Sixth Workshop On

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This paper evaluates global-scale dialect identification for 14 national varieties of English as a means for studying syntactic variation. The paper makes three main contributions: (i) introducing data-driven language mapping as a method for selecting the inventory of national varieties to include in the task; (ii) producing a large and dynamic set of syntactic features using grammar induction rather than focusing on a few hand-selected features such as function words; and (iii) comparing models across both web corpora and social media corpora in order to measure the robustness of syntactic variation across registers.

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Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

Cited by 17 publications

References 36 publications

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Distributional Semantics Meets Construction Grammar. towards a Unified Usage-Based Model of Grammar and Meaning

Modeling Global Syntactic Variation in

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