Bringing order to chaos : Research on Easy Swedish

Despite the early establishment of Easy Language in Sweden in the 1960s and a growing interest in producing Easy Language materials, linguistic research on Easy Swedish remains scarce. This literature review aims to describe how Easy Swedish has been understood in previous research, bringing together a wide range of perspectives and approaches. Applying a meta-narrative method, we investigate terms and definitions, descriptions of the target group, and ideologies, discourses, and values that justify Easy Language. Our results show an exclusive focus on written language and use of the term lattlast (Easy to Read), and a lack of a universal definition of the term. The results also show general agreement on the heterogeneity of the target group. Controversy arises from different perspectives on reading as well as the breadth of the concept, and the conceptualisation of Easy Swedish varies depending on the aims, discipline, and studied material.Peer reviewe

A multivariate model for classifying texts’ readability

We report on results from using the multivariate 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 to 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

A multivariate model for classifying texts’ readability

We report on results from using the multivariate 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 to 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

A multivariate model for classifying texts’ readability

We report on results from using the multivariate 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 to 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