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Found 27 papers, 1 papers with code
Generation of Synthetic Error Data of Verb Order Errors for Swedish
We report on our work-in-progress to generate a synthetic error dataset for Swedish by replicating errors observed in the authentic error annotated dataset.
CoDeRooMor: A new dataset for non-inflectional morphology studies of Swedish
The paper introduces a new resource, CoDeRooMor, for studying the morphology of modern Swedish word formation.
LEGATO: A flexible lexicographic annotation tool
This article is a report from an ongoing project aiming at analyzing lexical and grammatical competences of Swedish as a Second language (L2).
Grandma Karl is 27 years old -- research agenda for pseudonymization of research data
Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e. g names or political opinions.
Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts
In this study we investigate to which degree experts and non-experts agree on questions of difficulty in a crowdsourcing experiment.
DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing
We present DaLAJ 1. 0, a Dataset for Linguistic Acceptability Judgments for Swedish, comprising 9 596 sentences in its first version; and the initial experiment using it for the binary classification task.
Towards Privacy by Design in Learner Corpora Research: A Case of On-the-fly Pseudonymization of Swedish Learner Essays
The process includes three steps: identification of personal information in an unstructured text, labeling for a category, and pseudonymization.
Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors
The presence of misspellings and other errors or non-standard word forms poses a considerable challenge for NLP systems.
Investigating the importance of linguistic complexity features across different datasets related to language learning
We present the results of our investigations aiming at identifying the most informative linguistic complexity features for classifying language learning levels in three different datasets.
Towards Single Word Lexical Complexity Prediction
In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language.
Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation
We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora.
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
The lack of a sufficient amount of data tailored for a task is a well-recognized problem for many statistical NLP methods.
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings
We bring together knowledge from two different types of language learning data, texts learners read and texts they write, to improve linguistic complexity classification in the latter.
SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners
The paper introduces SVALex, a lexical resource primarily aimed at learners and teachers of Swedish as a foreign and second language that describes the distribution of 15, 681 words and expressions across the Common European Framework of Reference (CEFR).
SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies
Inter-rater agreement is presented on the basis of SW1203 subcorpus.
A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity
Corpora and web texts can become a rich language learning resource if we have a means of assessing whether they are linguistically appropriate for learners at a given proficiency level.
Reusing Swedish FrameNet for training semantic roles
In this article we present the first experiences of reusing the Swedish FrameNet (SweFN) as a resource for training semantic roles.
A flexible language learning platform based on language resources and web services
We present L{\"a}rka, the language learning platform of Spr{\"a}kbanken (the Swedish Language Bank).
Introducing the Swedish Kelly-list, a new lexical e-resource for Swedish
We provide a short description of the KELLY project; examine the methodological approach and mention some details on the compiling of the corpus from which the list has been derived.
