CoDeRooMor, v.01
type: Dataset
distribution: Landing page for the dataset
description: The CoDeRooMor dataset (version 1.0) contains 16 230 lemgrams generated from COCTAILL (course book corpus) and SweLL-pilot (learner essay corpus) to represent vocabulary relevant for learners of Swedish as a second language, and hypothetically containing most frequent vocabulary in Swedish. The lemgrams in CoDeRooMor have been manually analysed for roots, prefixes, suffixes, infixes/binding morphemes (sv: fogemorfem) and other morpheme types, e.g. o-är-lig: "o" prefix, "är" root , "lig" suffix The dataset represents 4 429 unique roots, 259 unique derivational suffixes, 155 unique prefixes, 12 unique binding morphemes (infixes), and a few inflectional morphemes that have been analyzed as a part of lexicalized forms or similar. Each lemgram has an associated word formation mechanism, such as derivation, compounding, root lexeme. Morphological annotation scheme follows principles outlined in Swedish Academy Grammar (SAG) and SAOL/SO. Given the ”gold” nature of the resource, it is possible to use it for empirical studies as well as to develop linguistically-aware algorithms for morpheme segmentation and labeling. For details about the list, the annotation process and reasoning around it, see the article on CoDeRooMor. For a short summary, see this blog. The dataset can be downloaded in csv or excel file format. Two versions are available: organized either by morpheme or by lemgram. This work has been supported by a grant from the Swedish Riksbankens Jubileumsfond ( Development of lexical and grammatical competences in immigrant Swedish, project P17-0716:1). To cite this resource: Volodina, Elena, Yousuf Ali Mohammed, and Therese Lindström Tiedemann (2021) CoDeRooMor: A new dataset for non-inflectional morphology studies of Swedish. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoLaLiDa). NEALT Proceedings Series, no. 45, Northern European Association for Language Technology (NEALT, Linköping, pp. 178-189, Nordic Conference on Computational L…
modified: 2021-04-13T00:00:00Z
issued: 2024-01-01T00:00:00Z
publisher: University of Gothenburg
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Volodina Elena
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Mohammed Yousuf Ali
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Lindström Tiedemann Therese
    type: Agent
    type: PrivateIndividual(s)
keyword: Language Technology (Computational Linguistics)
keyword: lexicon
language: SWE

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: CoDeRooMor, v.01
availability: stable

University of Gothenburg
type: Agent
name: Göteborgs universitet @sv
type: Academia-ScientificOrganisation
source: 01tm6cn81