Fixed multiword expressions are common in many, if not all, natural languages. In the Universal Dependenciesframework, UD, a subset of these expressions are modelled with the dependency relation fixed, targeting themost grammaticalized cases of functional multiword items. In this paper we perform a detailed analysis of 439expressions modelled with fixed in two Swedish UD treebanks in order to reduce their numbers and fit thedefinition of fixed better. We identify a large number of dimensions of variation for fixed multiword expressionsthat can be used for the purpose. We also point out several problematic aspects of the current UD approachto multiword expressions and discuss different alternative solutions for modelling fixed expresions. We suggestthat insights from Constructional Grammar (CxG) can help with a more systematic treatment of fixed expressions in UD.

We investigate changes in the use of four Swedish words from the fields of design and archi- tecture. It has been suggested that their meanings have been blurred, especially in governmental reports and policy documents, so that distinctions between them that are important to stakeholders in the respective fields are lost. Specifically, we compare usage in two governmental public reports on design, one from 1999 and the other from 2015, and additionally in opinion responses to the 2015 report. Our approach is to contextualise occurrences of the words in different representations of the texts using word embeddings, topic modelling and sentiment analysis. Tools and language resources developed within the SweClarin infrastructure have been crucial for the implementation of the study.

We show how the tools and language resources developed within the SweClarin infrastructure can be used to investigate changes in the use and understanding of the Swedish related words arkitektur, design, form, and formgivning. Specifically, we compare their use in two governmental public reports on design, one from 1999 and the other from 2015. We test the hypothesis that their meaning has developed in a way that blurs distinctions that may be important to stakeholders in the respective fields.

Since the SweClarin project began in 2015 its resources in terms of data and tools have been used in many different projects including linguistics. A research area where they have been less employed is the study of names. In this paper I suggest that language technology and general corpora can be used to contribute to the sociological study of personal names and offer a few examples. As is fit for the occasioin I take Lars as the point of departure. 

In a SweClarin cooperation project we apply topic modelling to the texts found with pins in Pin-terest boards. The data in focus are digitisations of Viking Age finds from the Swedish History Museum and the underlying research question is how they are given new contextual meanings in boards. We illustrate how topic modelling can support interpretation of polysemy and culturally situated meanings. It expands on the employment of topic modelling by accentuating the necessity of interpretation in every step of the process from capturing and cleaning the data, to modelling and visualisation. The paper concludes that the national context of digitisations of Viking Age jewellery in the Swedish History Museum’s collection management system is re-placed by several transnational contexts in which Viking Age jewellery is appreciated for its symbolical meanings and decorative functions in contemporary genres for re-imagining, relivingand performing European pasts and mythologies. The emerging contexts on Pinterest also high-light the business opportunities involved in genres such as reenactment, neo-paganism, lajv and fantasy. The boards are clues to how digitisations serve as prototypes for replicas.

Recent improvements in neural machinetranslation calls for increased efforts onqualitative evaluations so as to get a betterunderstanding of differences in translationcompetence between human and machine.This paper reports the results of a studyof 1170 adjectives in translation from En-glish to Swedish, using the Parallel Uni-versal Dependencies Treebanks for theselanguages. The comparison covers two di-mensions: the types of solutions employedand the incidence of debatable or incorrecttranslations. It is found that the machinetranslation uses all of the solution typesthat the human translation does, but in dif-ferent proportions and less competently

Starting in 2018 Swe-Clarin members are working cross-instituionally on special themes. In thispaper we report ongoing work in a project aimed at the creation of a new gold standard forSwedish Named-Entity Recognition and Categorisation. In contrast to previous efforts the newresource will contain data from both social media and edited text. The resource will be madefreely available through Spr ̊akbankenText

In Swedish, as in other languages, the words used to refer to disabilities and people with disabilities are manifold. Recommendations as to which terms to use have been changed several times over the last hundred years. In this exploratory paper we have used textual resources provided by Swe-Clarin to study such changes quantitatively. We demonstrate that old and new recommendations co-exist for long periods of time, and that usage sometimes converges.