BibTeX

@inProceedings{heimann-etal-2016-multimedia-244473,
	title        = {Multimedia and Literacy Learning Among Children With Various Disabilities – Lessons Since the Nineties},
	abstract     = {Collaborative research using variations on the same multimedia software (demo incorporated) is reviewed from studies in Sweden, Norway, Belgium, and the US. Substantial acceleration of progress is shown for deaf children in sign language and literacy, autistic children in oral language and literacy, and for motor-handicapped, dyslexic, and typically-developing children in literacy. Theoretical discussion covers top-down and bottom-up opportunities for processing. Further, the dynamic interplay of cognitive, language, attitudinal, cultural, and social-emotional processes is stressed. Suggested future innovations in software/technology and in teacher scaffolding strategies are based both in the empirical results so far and in dynamic systems theoretical discussion.},
	booktitle    = {Technology and Media in Children's Development. Irvine, California: 27-30 October 2016},
	author       = {Heimann, M. and Nelson, K. and Rudner, M. and Holmer, E. and Lundalv, M. and Heimann Mühlenbock, Katarina and Tjus, Tomas},
	year         = {2016},
	publisher    = {The Society for Research in Child Development (SRCD)},
}

@inProceedings{kanebrant-etal-2015-master-221987,
	title        = {T-MASTER -- A tool for assessing students' reading abilities},
	abstract     = {ABSTRACT: We present T-MASTER, a tool for assessing students' reading skills on a variety of dimensions. T-MASTER uses sophisticated measures for assessing a student's reading comprehension and vocabulary understanding. Texts are selected based on their difficulty using novel readability measures and tests are created based on the texts. The results are analyzed in T-MASTER, and the numerical results are mapped to textual descriptions that describe the student's reading abilities on the dimensions being analysed. These results are presented to the teacher in a form that is easily comprehensible, and lends itself to inspection of each individual student's results. },
	booktitle    = {Proceedings of the 7th International Conference on Computer Supported Education (CSED), Vol. 1, Ed. by Markus Helfert. May 23-25, 2015,  Lisbon, Portugal },
	author       = {Kanebrant, Erik and Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie and Jönsson, Arne and Liberg, Caroline and Geijerstam, Åsa af and Folkeryd, Jenny Wiksten and Falkenjack, Johan},
	year         = {2015},
	ISBN         = {978-989-758-107-6},
	pages        = {220--227},
}

@inProceedings{heimannmuhlenbock-etal-2015-multivariate-221988,
	title        = {A multivariate model for classifying texts' readability},
	abstract     = {We report on results from using the multi-variate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content , readability and genre in combination with the profile of a student's reading ability form the base of individually adapted texts. The procedure of levelling texts into different stages of complexity is presented along with results from the first cycle of tests conducted on 8th grade students. The results show that SVIT can be used to classify texts into different complexity levels.},
	booktitle    = {ACL Anthology - Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015). May 11–13, 2015 in Vilnius, Lithuania. },
	author       = {Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie and Liberg, Caroline and Geijerstam, Åsa af and Wiksten Folkeryd, Jenny and Jönsson, Arne and Kanebrant, Erik and Falkenjack, Johan},
	year         = {2015},
	volume       = {23},
	ISBN         = {978-91-7519-098-3},
	pages        = {257--261},
}

@inProceedings{heimannmuhlenbock-etal-2014-studies-222130,
	title        = {Studies on automatic assessment of students' reading ability},
	abstract     = {We report results from ongoing research on developing sophisticated measures for assessing a student's reading ability and a tool for the student and teacher to create a profile of this ability. In the project we will also investigate how these measures can be transformed to values on known criteria like vocabulary, grammatical fluency and so forth, and how these can be used to analyse texts. Such text criteria, sensitive to content, readability and genre in combination with the profile of a student's reading ability will form the base to individually adapted texts. Techniques and tools will be developed for selecting suitable texts, automatic summarisation of texts and automatic transformation to easy-to-read Swedish. },
	booktitle    = {Proceedings of the Fifth Swedish Language Technology Conference. SLTC 2014.},
	author       = {Heimann Mühlenbock, Katarina and Kanebrant, Erik and Johansson Kokkinakis, Sofie and Jönsson, Arne and Liberg, Caroline and Geijerstam, Åsa af and Falkenjack, Johan and Folkeryd, Jenny Wiksten},
	year         = {2014},
	pages        = {2},
}

@inProceedings{heimannmuhlenbock-lundalv-2011-using-178265,
	title        = {Using lexical and corpus resources for augmenting the AAC-lexicon},
	abstract     = {A corpus of easy-to-read texts in combination with a base vocabulary pool for Swedish was used in order to build a basic vocabulary. The
coverage of these entries by symbols in an existing AAC database was then assessed. We finally suggest a method for enriching the expressive power of the AAC language by combining existing symbols and in this way illustrate additional concepts.},
	booktitle    = {Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies},
	author       = {Heimann Mühlenbock, Katarina and Lundälv, Mats},
	year         = {2011},
	ISBN         = {978-1-937284-14-5 },
	pages        = {120--127},
}

@inProceedings{falkenjack-heimannmuhlenbock-2012-using-178259,
	title        = {Using the probability of readability to order Swedish texts},
	abstract     = {In this study we present a new approach to rank readability in Swedish texts based on lexical, morpho-syntactic and syntactic analysis of text as well as machine learning. The basic premise and theory is presented as well as a small experiment testing the feasibility, but not actual performance, of the approach. The experiment shows that it is possible to implement a system based on the approach, however, the actual performance of such a system has not been evaluated as the necessary resources for such an evaluation does not yet exist for Swedish. The experiment also shows that a classifier based on the aforementioned linguistic analysis, on our limited test set, outperforms classifiers based on established metrics used to assess readability such as LIX, OVIX and Nominal Ratio.},
	booktitle    = {Proceedings of the Fourth Swedish Language Technology Conference},
	author       = {Falkenjack, Johan and Heimann Mühlenbock, Katarina},
	year         = {2012},
	pages        = {27--28},
}

@inProceedings{heimannmuhlenbock-johanssonkokkinakis-2012-swevoc-178263,
	title        = {SweVoc - A Swedish vocabulary resource for CALL},
	abstract     = {The core in language teaching and learning is vocabulary, and access to a delimited set of words for basic communication is central for most CALL applications. Vocabulary characteristics also play a fundamental role for matching texts to specific readers. For English, the task of grading texts into different levels of difficulty has long been facilitated by the existence of word lists serving as guides for vocabulary selection. For Swedish, the situation is with a few exceptions less fortunate, in that no base vocabulary organized according to aspects of usage has existed. The Swedish base vocabulary – SweVoc – is an attempt to remediate this. It is a comprehensive resource, aimed at differentiating vocabulary items into categories of usage and frequency. As we are of the opinion that no corpus of written text can do fully justice of general language use, we have utilized materials from a second language as reference for delimiting the category of core words. Another belief is that the task of defining a base vocabulary can not be fully automatic, and that a considerable amount of manual, traditional lexicographic work has to be invested. Hence, the present approach is not an innovative, but a methodological approach to word list generation for a specific purpose, much like LSP.We anticipate SweVoc to be integrated in CALL applications for vocabulary assessment, language teaching and students’ practice.},
	booktitle    = {Proceedings of the SLTC 2012 workshop on NLP for CALL, Lund, 25th October, 2012},
	author       = {Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie},
	year         = {2012},
	pages        = {28--34},
}

@inProceedings{falkenjack-etal-2013-features-178257,
	title        = {Features indicating readability in Swedish text},
	abstract     = {Studies have shown that modern methods of readability assessment, using automated linguistic analysis and machine learning (ML), is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type.},
	booktitle    = {Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)},
	author       = {Falkenjack, Johan and Heimann Mühlenbock, Katarina and Jönsson, Arne},
	year         = {2013},
	number       = {085},
	ISBN         = {978-91-7519-589-6},
	pages        = {27--40},
}

@book{heimannmuhlenbock-2013-what-177599,
	title        = {I see what you mean},
	abstract     = {This thesis aims to identify linguistic factors that affect readability and text comprehension, viewed as a function of text complexity. Features at various linguistic levels suggested in existing literature are evaluated, including the Swedish readability formula LIX. Natural language processing methods and resources are employed to investigate characteristics that go beyond traditional superficial measures. A comparable corpus of eay-to-read and ordinary texts from three genres is investigated, and it is shown how features present at various levels of representation differ quantitatively across text types and genres. The findings are confirmed in significance tests as well as principal component analysis. Three machine learning algorithms are employed and evaluated in order to build a statistical model for text classification. The results demonstrate that a proposed language model for Swedish (SVIT), utilizing a combination of linguistic features, actually predicts text complexity and genre with a higher accuracy than LIX. It is suggested that the SVIT language model should be adopted to assess surface language properties, vocabulary load, sentence structure, idea density levels as well as the personal interests of different texts. Specific target groups of readers may then be provided with materials tailored to their level of proficiency.},
	author       = {Heimann Mühlenbock, Katarina},
	year         = {2013},
	publisher    = {University of Gothenburg},
	address      = {Göteborg},
	ISBN         = {978-91-87850-50-9},
}