Towards a Tool for Automatic Spelling Error Analysis and Feedback Generation for Freely Written German Texts Produced by Primary School Children

Laarmann-Quante, Ronja

doi:10.21437/slate.2017-7

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…For our prototypical experiments, we deliberately limit ourselves to the manually-curated high-quality data at our disposal and use existing German errorannotated corpora as training data. In recent years learner corpora of German have been used for the creation of systems for automatic German children's spelling errors correction (Stüker et al, 2011, Laarmann-Quante, 2017), but no work has been done on automatic orthographic error correction of adult learner texts.…”

Section: Related Workmentioning

confidence: 99%

Lexical Opposition in Discourse Contrast

Feltracco¹,

Magnini²,

Ježek³

2018

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

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Section: Related Workmentioning

confidence: 99%

Lexical Opposition in Discourse Contrast

Feltracco¹,

Magnini²,

Ježek³

2018

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

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“…In recent years learner corpora of German have been used for the creation of systems for automatic German children's spelling errors correction (Stüker et al, 2011, Laarmann-Quante, 2017, but no work has been done on automatic orthographic error correction of adult learner texts.…”

Section: Related Workmentioning

confidence: 99%

Disentangling the Thoughts: Latest News in Computational Argumentation

Gurevych¹

2018

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

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On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall "Cavallerizza Reale". The CLiC-it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges.This year CLiC-it received 70 submissions against 64 submissions in 2015, 69 in 2016 and 72 in 2017. The Programme Committee worked very hard to ensure that every paper received at least two careful and fair reviews. This process finally led to the acceptance of 18 papers for oral presentation and 45 papers for poster presentation, with a global acceptance rate of 90% motivated by the inclusive spirit of the conference. The conference is also receiving considerable attention from the international community, with 16 (23%) submissions showing at least one author affiliated to a foreign institution. Regardless of the format of presentation, all accepted papers are allocated 5 pages plus 2 pages for references in the proceedings, available as open access publication. In line with previous editions, the conference is organised around thematic areas managed by one or two area chairs per area.In addition to the technical programme, this year we are honoured to have as invited speakers internationally recognised researchers as Johan Bos (University of Groningen) and Iryna Gurevych (Technische Universität Darmstadt). We are very grateful to Johan and Iryna for agreeing to share with the Italian community their knowledge and expertise on key topics in Computational Linguistics.Traditionally, around one half of the participants at CLiC-it are young postdocs, PhD students, and even undergraduate students. As in the previous edition of the conference, we organised a special track called "Research Communications", encouraging authors of articles published in 2018 at outstanding international conferences in our field to submit short abstracts of their work. Research communications are not published in the proceedings, but are orally presented within a dedicated session at the conference, in order to enforce dissemination of excellence in research.Moreover, during the conference we award the prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics, submitted at an Italian University between August 1st 2017 and July 31st 2018. This special prize is also endorsed by AILC. We have received 6 candidate theses, which have been evaluated by a special jury. The prize will be awarded at the conference, by a member of the jury.

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“…Thus, the different kinds of errors require different feedback or different kinds of practice exercises for the child. Therefore, automated tools for spelling error classification have been proposed (Berkling and Lavalley, 2015;Laarmann-Quante, 2017). However, when children are free to write whatever they want, in contrast to dictations, it is a non-trivial task to find out which words they wanted to write before the spelling errors can be analyzed.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 12th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2023)

2023

Linköping Electronic Conference Proceedings

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The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of "Computational SLA" through setting up Second Language research infrastructures.The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings "understanding" of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research -Intelligent CALL, or for short, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop therefore invites a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data and modelled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We invited submissions:-that describe research directly aimed at ICALL -that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning -that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application, or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback -that discuss challenges and/or research agenda for ICALL -that describe empirical studies on language learner data This year a special focus was given to work done on second language vocabulary and grammar profiling, as well as the use of crowdsourcing for creating, collecting, and curating data in NLP projects. We encouraged paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages.A special feature in this year's workshop is the research notes session. This session included short talks about PhD projects and ongoing unfinished research that collaborating teams were eager to discuss with the community and get feedback. We tested this feature for the second time with an intention to evaluate its impact and utility for future uses. This time around, we circulated a separate call for expression of interest.

show abstract

Towards a Tool for Automatic Spelling Error Analysis and Feedback Generation for Freely Written German Texts Produced by Primary School Children

Cited by 4 publications

References 10 publications

Lexical Opposition in Discourse Contrast

Lexical Opposition in Discourse Contrast

Disentangling the Thoughts: Latest News in Computational Argumentation

Proceedings of the 12th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2023)

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