Replication Data for: Argument structure constructions in competition: The Dat-Nom/Nom-Dat alternation in Icelandic

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Somers, Joren; Barðdal, Jóhanna, 2025, "Replication Data for: Argument structure constructions in competition: The Dat-Nom/Nom-Dat alternation in Icelandic", https://doi.org/10.18710/JXMG1M, DataverseNO, V1

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Description	The current Icelandic dataset contains the replication data for Somers & Barðdal (2022) and Somers, Jenset & Barðdal (2024a). The data have also been used in Somers & Barðdal (2023), Somers, Jenset & Barðdal (2024b) and Elens, Somers & Barðdal (2024). The dataset, which has been compiled using the Icelandic Web 2020 corpus, or isTenTen20, contains 200 observations each for 15 Icelandic verbs, thus amounting to a total of 3,000 observations. The verbs in question belong to one of three syntactic classes: (1) Dat-Nom verbs, (2) Nom-Dat verbs and (3) Dat-Nom/Nom-Dat verbs. All tokens have been annotated for lemma, verb class and the internal order of the dative and the nominative arguments. In addition, each constituent, dative and nominative, has been annotated for (1) case, (2) (pro)nominality, (3) pronoun type (if applicable), (4) referentiality, (5) person, (6) number, (7) definiteness, (8) animacy and (9) length. (2025-06-06)
Subject	Arts and Humanities
Keyword	Icelandic, Corpus research, Argument structure, Dative subjects, Word order, Dat-Nom/Nom-Dat verbs, Dat-Nom verbs, Nom-Dat verbs, Pronouns vs. full NPs, Topicality
Related Publication	Somers, Joren & Jóhanna Barðdal. 2022. Alternating Dat-Nom/Nom-Dat verbs in Icelandic: An exploratory corpus-based analysis. Working Papers in Scandinavian Syntax 107: 83–110.
License/Data Use Agreement	Custom Dataset Terms

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Citation Metadata

Persistent Identifier	doi:10.18710/JXMG1M
Publication Date	2025-09-01
Title	Replication Data for: Argument structure constructions in competition: The Dat-Nom/Nom-Dat alternation in Icelandic
Author	Somers, Joren (University of Texas at Austin) - ORCID: 0000-0002-3815-3139 Barðdal, Jóhanna (Ghent University) - ORCID: 0000-0003-0164-4249
Point of Contact	Use email button above to contact. Somers, Joren
Description	The current Icelandic dataset contains the replication data for Somers & Barðdal (2022) and Somers, Jenset & Barðdal (2024a). The data have also been used in Somers & Barðdal (2023), Somers, Jenset & Barðdal (2024b) and Elens, Somers & Barðdal (2024). The dataset, which has been compiled using the Icelandic Web 2020 corpus, or isTenTen20, contains 200 observations each for 15 Icelandic verbs, thus amounting to a total of 3,000 observations. The verbs in question belong to one of three syntactic classes: (1) Dat-Nom verbs, (2) Nom-Dat verbs and (3) Dat-Nom/Nom-Dat verbs. All tokens have been annotated for lemma, verb class and the internal order of the dative and the nominative arguments. In addition, each constituent, dative and nominative, has been annotated for (1) case, (2) (pro)nominality, (3) pronoun type (if applicable), (4) referentiality, (5) person, (6) number, (7) definiteness, (8) animacy and (9) length. (2025-06-06)
Subject	Arts and Humanities
Keyword	Icelandic Corpus research Argument structure Dative subjects Word order Dat-Nom/Nom-Dat verbs Dat-Nom verbs Nom-Dat verbs Pronouns vs. full NPs Topicality
Related Publication	Somers, Joren & Jóhanna Barðdal. 2022. Alternating Dat-Nom/Nom-Dat verbs in Icelandic: An exploratory corpus-based analysis. Working Papers in Scandinavian Syntax 107: 83–110. url: https://projekt.ht.lu.se/fileadmin/user_upload/sol/ovrigt/projekt_grimm/working_papers/2022-dec/Somers-Barddal.pdf Somers, Joren & Jóhanna Barðdal. 2023. Comparing the argument structure of alternating Dat-Nom/Nom-Dat predicates in German and Icelandic. Working Papers in Scandinavian Syntax 108: 1–25. url: https://projekt.ht.lu.se/fileadmin/user_upload/sol/ovrigt/projekt_grimm/working_papers/2023-jun/Somers_Barddal.WPSS.108.juli.pdf Somers, Joren, Gard B. Jenset & Jóhanna Barðdal. 2024a. Argument structure constructions in competition: The Dat-Nom/Nom-Dat alternation in Icelandic. Nordic Journal of Linguistics (online first article). doi: 10.1017/S0332586524000039 https://doi.org/10.1017/S0332586524000039 Somers, Joren, Gard B. Jenset & Jóhanna Barðdal. 2024b. Subjecthood and argument structure of synonymous Dat-Nom/Nom-Dat verbs across German and Icelandic. Lingua 312, 103833. doi: 10.1016/j.lingua.2024.103833 https://doi.org/10.1016/j.lingua.2024.103833
Language	English
Producer	Ghent University https://www.ugent.be/en
Contributor	Data Collector : Joren Somers Data Manager : Joren Somers Project Member : Joren Somers Data Collector : Jóhanna Barðdal Project Leader : Jóhanna Barðdal Supervisor : Jóhanna Barðdal
Funding Information	Ghent University’s Special Research Fund's Concerted Research Action Scheme: BOF-GOA grant nr. 01G01319
Distributor	The Tromsø Repository of Language and Linguistics (TROLLing) (TROLLing) https://trolling.uit.no/
Depositor	Somers, Joren
Deposit Date	2025-06-06
Time Period	Start Date: 2020-08-01 ; End Date: 2020-09-30
Date of Collection	Start Date: 2022-05-01 ; End Date: 2022-09-30
Data Type	Annotated corpus data
Data Source	The data in this dataset were retrieved from the isTenTen20 corpus, which was accessed through the SketchEngine interface (Jakubíček et al. 2013). For more information about the isTenTen20 corpus, see: https://www.sketchengine.eu/istenten-icelandic-corpus/. Attributing the individual sources has been done to the best extent. However, to retrieve individual sources, use the source website in the csv file and look for the text found in columns LeftCotext, RightCotext, ConcatenatedText. The extracted text fragments that are contained in the data file IcelandicAlternatingVerbs.csv of this dataset only represent non-substantial portions of the sources listed above, and they do not represent coherent larger texts. Therefore, the reuse (including redistribution) of these excerpts is permitted by the exceptions rules in IPR and database protection regulations, such as Fair use (USA cf. US Copyright Act), Fair dealing (UK; cf. Exceptions to copyright), the EU Database Directive (cf. article 8 Rights and obligations of lawful users), "lover, forskrifter, rettsavgjørelser og andre vedtak av offentlig myndighet" (Norway; cf. § 14 in Åndsverkloven), "uvesentlige deler av databaser" (Norway; cf. § 24 in Åndsverkloven), "sitatretten" (Norway; cf. § 29 in Åndsverkloven). As these excerpts do not represent substantial parts of the reused sources, the redistribution of these excerpts is according to Creative Commons (CC) also permitted if they are extracted from sources that are distributed under Creative Commons licenses (cf. question "Do I always have to comply with the license terms? If not, what are the exceptions?" in the Creative Commons Frequently Asked Questions).

Geospatial Metadata

Geographic Coverage	Iceland

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

With the exception of the information in columns B (LeftCotext), C (KeyWord), D (RightCotext) and G (ConcatenatedText) in IcelandicAlternatingVerbs.csv, the dataset "Replication Data for: Argument structure constructions in competition: The Dat-Nom/Nom-Dat alternation in Icelandic" has been marked as dedicated to the public domain, as described here: https://creativecommons.org/publicdomain/zero/1.0/.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Columns B–D and G in the tabular file IcelandicAlternatingVerbs.csv, contain text fragments that have been extracted from the isTenTen20 corpus, available at https://www.sketchengine.eu/istenten-icelandic-corpus/ , under limitations and exceptions to IPR and database protection regulations. The contribution of the author of the present dataset to these files, as detailed in the ReadMe file, is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, as described here: https://creativecommons.org/licenses/by/4.0/.

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

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