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Print interpreting is a form of communication that allows deaf and hard of hearing people to get access to speech. We carried out an eye tracking experiment where twenty participants read print interpreted text presented dynamically on a computer screen. We compared regression landing points on reread words between two dynamic text presentation formats: letter-by-letter and word-by-word. Then we investigated the gaze behaviour from a linguistic point of view in order to discover whether the dynamic presentation has an effect on linguistic factors. In particular, we have examined the parts of speech of the first and the second landing points of regressions. The findings suggest significant difference between the presentation formats. There is also a relationship between the gaze behaviour and the linguistic processing of dynamic text. Being conscious of this lexical hierarchy may help to develop supporting print interpreting tools and consequently may also help print interpreters to improve the presentation of dynamic text to the user. Peer reviewed

Generalization from a case study is a perennial issue in the methodology of the social sciences. The case study is one of the most important research designs in many social scientific fields, but no shared understanding exists of the epistemic import of case studies. This article suggests that the idea of mechanism-based theorizing provides a fruitful basis for understanding how case studies contribute to a general understanding of social phenomena. This approach is illustrated with a reconstruction of Espeland and Sauder's case study of the effects of rankings on US legal education. On the basis of the reconstruction, it is argued that, at least with respect to sociology, the idea of mechanism-based theorizing captures many of the generalizable elements of case studies. Peer reviewed

This paper develops a compositional vector-based semantics of subject and object relative pronouns within a categorical framework. Frobenius algebras are used to formalise the operations required to model the semantics of relative pronouns, including passing information between the relative clause and the modified noun phrase, as well as copying, combining, and discarding parts of the relative clause. We develop two instantiations of the abstract semantics, one based on a truth-theoretic approach and one based on corpus statistics. 31 pages

Interdisciplinary research in the fields of forestry and sustainability studies often encounters seemingly incompatible ontological assumptions deriving from natural and social sciences. The perceived incompatibilities might emerge from the epistemological and ontological claims of the theories or models directly employed in the interdisciplinary collaboration, or they might be created by other epistemological and ontological assumptions that these interdisciplinary researchers find no reason to question. In this paper we discuss the benefits and risks of two possible approaches, Popperian optimism and Kuhnian pessimism, to interdisciplinary knowledge integration where epistemological and ontological differences between the sciences involved can be expected. Peer reviewed

This study presents a methodological toolbox for big data analysis of linguistic constructions by introducing dependency profiles, i.e., co-occurrences of linguistic elements with syntax information. These were operationalized by reconstructing sentences as delexicalized syntactic biarcs, subtrees of dependency analyses. As a case study, we utilize these dependency profiles to explore usage patterns associated with emoticons, the graphic representations of facial expressions. These are said to be characteristic of Computer-Mediated Communication, but typically studied only in restricted corpora. To analyze the 3.7-billion token Finnish Internet Parsebank we use as data, we apply clustering and support vector machines. The results show that emoticons are associated with three typical usage patterns: stream of the writer’s consciousness, narrative constructions and elements guiding the interaction and expressing the writer’s reactions by means of interjections and discourse particles. Additionally, the more frequent emoticons, such as :), are used differently than the less frequent ones, such as ^_^.Kokkuvõte. Veronika Laippala, Aki-Juhani Kyröläinen, Jenna Kanerva, Juhani Luotolahti ja Filip Ginter: Sõltuvusprofiilid kui vahend suurandmete keeleliste konstruktsioonide analüüsimiseks: uurimus emotikonidest. Uurimuses esitame metodoloogilise “tööriistakomplekti” keelekonstruktsioonide analüüsimiseks suurandmete põhjal, rakendades sõltuvusprofiile. Sõltuvusprofiil on lingvistiliste elementide koosesinemise esitusviis, kuhu on kaasatud süntaktiline informatsioon. Selleks on laused konstrueeritud sõltuvusanalüüsi alampuudena, kus süntaktiline info on esitatud sõnadevaheliste (kaksik-)kaarte abil. Artiklis rakendame sõltuvusprofiile selleks, et selgitada välja emotikonide kasutusmustrid. Näomiimika graafilised esitused on iseloomulikud arvuti suhtlusele, mida tavaliselt uuritakse piiratud korpuse põhjal, kuid meie kasutame klasterdamist ja tugivektor-masinaid 3,7 miljardi sõna suuruse Soome Interneti Puudepangal. Selgub, et emotikonide kasutus seostub kolme peamise kasutusmustriga: kirjutaja teadvuse vooluga, narratiivsete konstruktsioonidega ning hüüdsõnade ja diskursusepartiklitega, mis juhivad suhtlust ja väljendavad kirjutaja reaktsioone. Lisaks selgub, et sagedastel emotikonidel nagu :), on rohkem erinevaid kasutusi kui harvadel emotikonidel nagu ^_^.Võtmesõnad: sõltuvusprofiilid; kasutuspõhine süntaks; arvutisuhtlus; emotikonid; veebikorpus; soome keel

Polynczuk-Alenius's article contributes to a better understanding of the racist moment in Poland that began in the aftermath of the 'refugee crisis' in 2015. It does so by zooming in on Christian far-right discourse and reconstructing a cognitive map of the social world manufactured therein. To this end, it analyses the blog of the former Catholic priest Jacek Miedlar, now a far-right activist and one of the leaders of the anti-refugee movement. In doing so, the article relies on two compatible bodies of research that have rarely been used together. Theoretically, the article approaches Christian far-right discourse as an articulation of the paranoid style and concentrates on its conspiratorial aspect. Analytically, it uses the fourfold model of authoritarian communication developed by the Frankfurt School to dissect systematically the conspiratorial tale expounded on Miedlar's blog. Accordingly, the empirical analysis of 116 blog posts treats the following themes: 1) the discontent diagnosed by Miedlar (anti-Polonism, epitomized by the suppression of nationalist and Christian values in favour of European universalism); 2) the alleged operators of anti-Polonism (the Jewish-orchestrated conspiracy bent on dominating the world and its puppets); 3) the movement that will rise up against this cabal (namely, the Polish Catholic nationalists armed with conservative values); and 4) the leader of the struggle (Miedlar himself as a Christ-like martyr figure). The article concludes that the anti-Muslim discourse, premised on an appeal to racist sentiments, served as a gateway into the conspiratorial, deeply antisemitic world-view of the Christian far-right milieu. In Poland, as elsewhere, such a world-view, stored and transmitted through the fringe far-right discourse, usually seems to gain traction in wider society during times of crisis. Peer reviewed

This paper discusses and analyses the memor­ial complex of Tsitsernakaberd in Yerevan as an architectural and symbolic entity in relation to Armenian national identity in the aftermath of the Armenian genocide of 1915. How does this Soviet-era structure fulfil its role as a genocide memorial today, including its function as a forced substitute for the hundreds of holy places and the culture and life connected with them? On the one hand, this is only a small inquiry into the function of one building complex. Yet on the other hand, the topic is more essential than perhaps anything in history: the genocide memorial crystallises a set of profound questions, serious problems and agonising processes. An entire national existence can be crushed in a genocide and subsequently debased through its denial, resulting in existential problems such as, on the one hand, a pressure of assimilation for the diaspora, and on the other, severe socio-economic and geopolitical-military crises in present-day Armenia.

Background The Turku Event Extraction System (TEES) is a text mining program developed for the extraction of events, complex biomedical relationships, from scientific literature. Based on a graph-generation approach, the system detects events with the use of a rich feature set built via dependency parsing. The TEES system has achieved record performance in several of the shared tasks of its domain, and continues to be used in a variety of biomedical text mining tasks. Results The TEES system was quickly adapted to the BioNLP'13 Shared Task in order to provide a public baseline for derived systems. An automated approach was developed for learning the underlying annotation rules of event type, allowing immediate adaptation to the various subtasks, and leading to a first place in four out of eight tasks. The system for the automated learning of annotation rules is further enhanced in this paper to the point of requiring no manual adaptation to any of the BioNLP'13 tasks. Further, the scikit-learn machine learning library is integrated into the system, bringing a wide variety of machine learning methods usable with TEES in addition to the default SVM. A scikit-learn ensemble method is also used to analyze the importances of the features in the TEES feature sets. Conclusions The TEES system was introduced for the BioNLP'09 Shared Task and has since then demonstrated good performance in several other shared tasks. By applying the current TEES 2.2 system to multiple corpora from these past shared tasks an overarching analysis of the most promising methods and possible pitfalls in the evolving field of biomedical event extraction are presented.