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Analepsen mit Topik-Drop sind hochfrequente sprachliche Strukturen in Interaktionen. In dieser Arbeit stehen neben der interaktionslinguistischen Untersuchung der Diskursfunktionen, Bedingungen und Restriktionen von Analepsen diskurssemantische Perspektiven und Fragestellungen im Mittelpunkt, insbesondere die detaillierte Beschreibung der semantischen Relationen zwischen Analepsen und ihrem Präkontext. Die Analepsenresolution muss dabei situiert erklärt werden, da das Verstehen von Analepsen von der kontextuellen Einbettung sowie von grammatischen, semantischen und pragmatischen Merkmalen der Äußerung abhängt.
Es wird gezeigt, dass kognitive Zuschreibungen hinsichtlich der Interaktionsbeteiligten auch mit interaktionslinguistischen Methoden möglich sind. Die Studie demonstriert außerdem, dass die Kombination von qualitativen und quantitativen Methoden erkenntnisträchtig ist, um spezifische Verwendungspräferenzen von analeptischen im Vergleich zu anaphorischen Äußerungen herauszuarbeiten.
This thesis consists of the following three papers that all have been published in international peer-reviewed journals:
Chapter 3: Koplenig, Alexander (2015c). The Impact of Lacking Metadata for the Measurement of Cultural and Linguistic Change Using the Google Ngram Data Sets—Reconstructing the Composition of the German Corpus in Times of WWII. Published in: Digital Scholarship in the Humanities. Oxford: Oxford University Press. [doi:10.1093/llc/fqv037]
Chapter 4: Koplenig, Alexander (2015b). Why the quantitative analysis of dia-chronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions. Published in: Digital Scholarship in the Humanities. Oxford: Oxford University Press. [doi:10.1093/llc/fqv030]
Chapter 5: Koplenig, Alexander (2015a). Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis. Published in: Corpus Linguistics and Linguistic Theory. Berlin/Boston: de Gruyter. [doi:10.1515/cllt-2014-0049]
Chapter 1 introduces the topic by describing and discussing several basic concepts relevant to the statistical analysis of corpus linguistic data. Chapter 2 presents a method to analyze diachronic corpus data and a summary of the three publications. Chapters 3 to 5 each represent one of the three publications. All papers are printed in this thesis with the permission of the publishers.
Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks
(2016)
In discourse relation annotation, there is currently a variety of different frameworks being used, and most of them have been developed and employed mostly on written data. This raises a number of questions regarding interoperability of discourse relation annotation schemes, as well as regarding differences in discourse annotation for written vs. spoken domains. In this paper, we describe ouron annotating two spoken domains from the SPICE Ireland corpus (telephone conversations and broadcast interviews) according todifferent discourse annotation schemes, PDTB 3.0 and CCR. We show that annotations in the two schemes can largely be mappedone another, and discuss differences in operationalisations of discourse relation schemes which present a challenge to automatic mapping. We also observe systematic differences in the prevalence of implicit discourse relations in spoken data compared to written texts,find that there are also differences in the types of causal relations between the domains. Finally, we find that PDTB 3.0 addresses many shortcomings of PDTB 2.0 wrt. the annotation of spoken discourse, and suggest further extensions. The new corpus has roughly theof the CoNLL 2015 Shared Task test set, and we hence hope that it will be a valuable resource for the evaluation of automatic discourse relation labellers.
Im Verlauf der Geschehnisse in der arabischen Welt seit 2011 gewann der Begriff Arabischer Frühling an Bedeutung und avancierte zum Leitausdruck des Diskurses. Der Beitrag geht den Fragen nach, wie der Begriff Arabischer Frühling in der deutschsprachigen Öffentlichkeit sprachlich realisiert, mit welchen sprachlichen Mitteln er konstruiert und mit welchen Ereignissen – zuweilen auch Katastrophen – er identifiziert wurde bzw. wird. Dabei wird auf die symbolische Funktion des Frühlings sowohl aus historischer Perspektive der Vormärzzeit als auch aus heutiger Sicht eingegangen. Im Blickfeld der Untersuchung stehen darüber hinaus die Jahreszeitenbezeichnungen Winter, Herbst und Sommer und ihr symbolisches Verhältnis zu den arabischen Revolutionen.
In their analysis of methods that participants use to manage the realization of practical courses of action, Kendrick and Drew (2016/this issue) focus on cases of assistance, where the need to be addressed is Self’s, and Other lends a helping hand. In our commentary, we point to other forms of cooperative engagement that are ubiquitously recruited in interaction. Imperative requests characteristically expect compliance on the grounds of Other’s already established commitment to a wider and shared course of actions. Established commitments can also provide the engine behind recruitment sequences that proceed nonverbally. And forms of cooperative engagement that are well glossed as assistance can nevertheless be demonstrably oriented to established commitments. In sum, we find commitment to shared courses of action to be an important element in the design and progression of certain recruitment sequences, where the involvement of Other is best defined as contribution. The commentary highlights the importance of interdependent orientations in the organization of cooperation. Data are in German, Italian, and Polish.
Wiegand’s opus magnum „Wörterbuchforschung“ ends with a chapter on the state and the relevant taslcs for research into dictionary use in the middle of the 1990s. This article aims at reflecting the taste and the relevance of dictionary usage research 20 years later. I will argue that the fundamentally changed lexicographic landscape makes it necessary to shift the focus of research. In my view, the most important aim of research into dictionary use can no longer be limited to improving dictionaries. Research into dictionary use should also raise more awareness for user- orientation in general and should provide methodological reflection to enlighten the increasingly important usage statistics for online dictionaries. Another goal should be to look behind the scenes of collaborative dictionaries in order to provide background data to classify their relevance in relation to dictionaries elaborated by lexicographic experts. The crisis of lexicography makes it also necessary to broaden our view and concentrate on situations in which linguistic questions arise. In this context, we could examine in which of these situations the consultation of lexicographic data helps. In summary, the aim of research into dictionary use is to identify the fields where sound lexicographic work is really helpful for potential users.
In this paper, we describe preliminary results from an ongoing experiment wherein we classify two large unstructured text corpora—a web corpus and a newspaper corpus—by topic domain (or subject area). Our primary goal is to develop a method that allows for the reliable annotation of large crawled web corpora with meta data required by many corpus linguists. We are especially interested in designing an annotation scheme whose categories are both intuitively interpretable by linguists and firmly rooted in the distribution of lexical material in the documents. Since we use data from a web corpus and a more traditional corpus, we also contribute to the important field of corpus comparison and corpus evaluation. Technically, we use (unsupervised) topic modeling to automatically induce topic distributions over gold standard corpora that were manually annotated for 13 coarse-grained topic domains. In a second step, we apply supervised machine learning to learn the manually annotated topic domains using the previously induced topics as features. We achieve around 70% accuracy in 10-fold cross validations. An analysis of the errors clearly indicates, however, that a revised classification scheme and larger gold standard corpora will likely lead to a substantial increase in accuracy.
Smiling individuals are usually perceived more favorably than non-smiling ones—they are judged as happier, more attractive, competent, and friendly. These seemingly clear and obvious consequences of smiling are assumed to be culturally universal, however most of the psychological research is carried out in WEIRD societies (Western, Educated, Industrialized, Rich, and Democratic) and the influence of culture on social perception of nonverbal behavior is still understudied. Here we show that a smiling individual may be judged as less intelligent than the same non-smiling individual in cultures low on the GLOBE’s uncertainty avoidance dimension. Furthermore, we show that corruption at the societal level may undermine the prosocial perception of smiling—in societies with high corruption indicators, trust toward smiling individuals is reduced. This research fosters understanding of the cultural framework surrounding nonverbal communication processes and reveals that in some cultures smiling may lead to negative attributions.
Bericht über die 19. Arbeitstagung zur Gesprächsforschung vom 16. bis 18. März 2016 in Mannheim
(2016)
Bericht über die 19. Arbeitstagung zur Gesprächsforschung vom 16. bis 18. März 2016 in Mannheim
(2016)
Bild-Makros, auch unter dem Begriff Memes bekannt, sind populäre Internetphänomene, die im Zuge der umfassenden Multimodalisierung der Medienkommunikation als Unterhaltungsangebote auf Facebook verbreitet und kommentiert werden. Dieser Beitrag betrachtet diese aus einer Kombination von Bild und Text bestehenden multimodalen Kommunikate aus einer gattungs- und gesprächsanalytischen Perspektive, da Bild- Makros sowohl in ihrer formalen und semantischen Gestaltung als auch in der interaktiven Rezeption in Form von Kommentaren und Antworten verfestigte Muster aufzuweisen scheinen. In dieser medial vermittelten Interaktion haben sich sowohl auf der strukturellen Ebene der Interaktionssequenzen als auch innerhalb einzelner, auf sequenzexterner und sequenzinterner Ebene analysierten Interaktionseinheiten verschiedene kommunikative Muster herausgebildet. Darin nehmen soziale Prozesse wie face-work und Identitätskonstruktion Einfluss auf die interaktive Aushandlung des Kommunikats.
Brown clustering has been used to help increase parsing performance for morphologically rich languages. However, much of the work has focused on using clustering techniques to replace terminal nodes or as a feature for parsing. Instead, we choose to examine how effectively Brown clustering is for unlexicalized parsing by creating data-driven POS tagsets which are then used with the Berkeley parser. We investigate cluster sizes as well as on what information (e.g. words vs. lemmas) clustering will yield the best parser performance. Our results approach the current state of the art results for the German T¨uBa-D/Z treebank when using parser internal tagging.
This paper presents C-WEP, the Collection of Writing Errors by Professionals Writers of German. It currently consists of 245 sentences with grammatical errors. All sentences are taken from published texts. All authors are professional writers with high skill levels with respect to German, the genres, and the topics. The purpose of this collection is to provide seeds for more sophisticated writing support tools as only a very small proportion of those errors can be detected by state-of-the-art checkers. C-WEP is annotated on various levels and freely available.