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Das Kommunizieren in Sozialen Medien und der Umgang mit Hypertexten ist im Jahr 2020 kein Randphänomen mehr. Die sprachlichen Besonderheiten internetbasierter Kommunikation und Sozialer Medien sind mittlerweile auch gut erforscht und beschrieben, allerdings werden diese bislang in deutschen Grammatiken, mit Ausnahme von Hoffmann (2014), allenfalls am Rande behandelt. Selbst neuere Ansätze zur Textanalyse, z. B. Ágel (2017), konzentrieren sich auf gestaltstabile, linear organisierte Schrifttexte. Dasselbe gilt für Ansätze, die primär für die Bewertung von Schreibprodukten in Bildungskontexten entwickelt wurden.
In this paper, the authors use the 2012 log files of two German online dictionaries (Digital Dictionary of the German Language and the German Version of Wiktionary) and the 100,000 most frequent words in the Mannheim German Reference Corpus from 2009 to answer the question of whether dictionary users really do look up frequent words, first asked by de Schryver et al. (2006). By using an approach to the comparison of log files and corpus data which is completely different from that of the aforementioned authors, we provide empirical evidence that indicates - contrary to the results of de Schryver et al. and Verlinde/Binon (2010) - that the corpus frequency of a word can indeed be an important factor in determining what online dictionary users look up. Finally, we incorporate word class Information readily available in Wiktionary into our analysis to improve our results considerably.
Languages employ different strategies to transmit structural and grammatical information. While, for example, grammatical dependency relationships in sentences are mainly conveyed by the ordering of the words for languages like Mandarin Chinese, or Vietnamese, the word ordering is much less restricted for languages such as Inupiatun or Quechua, as these languages (also) use the internal structure of words (e.g. inflectional morphology) to mark grammatical relationships in a sentence. Based on a quantitative analysis of more than 1,500 unique translations of different books of the Bible in almost 1,200 different languages that are spoken as a native language by approximately 6 billion people (more than 80% of the world population), we present large-scale evidence for a statistical trade-off between the amount of information conveyed by the ordering of words and the amount of information conveyed by internal word structure: languages that rely more strongly on word order information tend to rely less on word structure information and vice versa. Or put differently, if less information is carried within the word, more information has to be spread among words in order to communicate successfully. In addition, we find that–despite differences in the way information is expressed–there is also evidence for a trade-off between different books of the biblical canon that recurs with little variation across languages: the more informative the word order of the book, the less informative its word structure and vice versa. We argue that this might suggest that, on the one hand, languages encode information in very different (but efficient) ways. On the other hand, content-related and stylistic features are statistically encoded in very similar ways.
In order to demonstrate why it is important to correctly account for the (serial dependent) structure of temporal data, we document an apparently spectacular relationship between population size and lexical diversity: for five out of seven investigated languages, there is a strong relationship between population size and lexical diversity of the primary language in this country. We show that this relationship is the result of a misspecified model that does not consider the temporal aspect of the data by presenting a similar but nonsensical relationship between the global annual mean sea level and lexical diversity. Given the fact that in the recent past, several studies were published that present surprising links between different economic, cultural, political and (socio-)demographical variables on the one hand and cultural or linguistic characteristics on the other hand, but seem to suffer from exactly this problem, we explain the cause of the misspecification and show that it has profound consequences. We demonstrate how simple transformation of the time series can often solve problems of this type and argue that the evaluation of the plausibility of a relationship is important in this context. We hope that our paper will help both researchers and reviewers to understand why it is important to use special models for the analysis of data with a natural temporal ordering.
Questions of design
(2014)
All lexicographers working on online dictionary projects that do not wish to use an established form of design for their online dictionary, or simply have new kinds of lexicographic data to present, face the problem of what kind of arrangement is best suited for the intended users of the dictionary. In this chapter, we present data about questions relating to the design of online dictionaries. This will provide projects that use these or similar ways of presenting their lexicographic data with valuable information about how potential dictionary users assess and evaluate them. In addition, the answers to corresponding open-ended questions show, detached from concrete design models, which criteria potential users value in a good online representation. Clarity and an uncluttered look seem to dominate in many answers, as well as the possibility of customization, if the latter is not connected with a too complex usability model.
The first international study (N=684) we conducted within our research project on online dictionary use included very general questions on that topic. In this chapter, we present the corresponding results on questions like the use of both printed and online dictionaries as well as on the types of dictionaries used, devices used to access online dictionaries and some information regarding the willingness to pay for premium content. The data collected by us, show that our respondents both use printed and online dictionaries and, according to their self-report, many different kinds of dictionaries. In this context, our results revealed some clear cultural differences: in German-speaking areas spelling dictionaries are more common than in other linguistic areas, where thesauruses are widespread. Only a minority of our respondents is willing to pay for premium content, but most of the respondents are prepared to accept advertising. Our results also demonstrate that our respondents mainly tend to use dictionaries on big-screen devices, e.g. desktop computers or laptops.
Studying Lexical Dynamics and Language Change via Generalized Entropies: The Problem of Sample Size
(2020)
Recently, it was demonstrated that generalized entropies of order α offer novel and important opportunities to quantify the similarity of symbol sequences where α is a free parameter. Varying this parameter makes it possible to magnify differences between different texts at specific scales of the corresponding word frequency spectrum. For the analysis of the statistical properties of natural languages, this is especially interesting, because textual data are characterized by Zipf’s law, i.e., there are very few word types that occur very often (e.g., function words expressing grammatical relationships) and many word types with a very low frequency (e.g., content words carrying most of the meaning of a sentence). Here, this approach is systematically and empirically studied by analyzing the lexical dynamics of the German weekly news magazine Der Spiegel (consisting of approximately 365,000 articles and 237,000,000 words that were published between 1947 and 2017). We show that, analogous to most other measures in quantitative linguistics, similarity measures based on generalized entropies depend heavily on the sample size (i.e., text length). We argue that this makes it difficult to quantify lexical dynamics and language change and show that standard sampling approaches do not solve this problem. We discuss the consequences of the results for the statistical analysis of languages.
Studying Lexical Dynamics and Language Change via Generalized Entropies: The Problem of Sample Size
(2019)
Recently, it was demonstrated that generalized entropies of order α offer novel and important opportunities to quantify the similarity of symbol sequences where α is a free parameter. Varying this parameter makes it possible to magnify differences between different texts at specific scales of the corresponding word frequency spectrum. For the analysis of the statistical properties of natural languages, this is especially interesting, because textual data are characterized by Zipf’s law, i.e., there are very few word types that occur very often (e.g., function words expressing grammatical relationships) and many word types with a very low frequency (e.g., content words carrying most of the meaning of a sentence). Here, this approach is systematically and empirically studied by analyzing the lexical dynamics of the German weekly news magazine Der Spiegel (consisting of approximately 365,000 articles and 237,000,000 words that were published between 1947 and 2017). We show that, analogous to most other measures in quantitative linguistics, similarity measures based on generalized entropies depend heavily on the sample size (i.e., text length). We argue that this makes it difficult to quantify lexical dynamics and language change and show that standard sampling approaches do not solve this problem. We discuss the consequences of the results for the statistical analysis of languages.
This paper presents the results of a survey on dictionary use in Europe, the largest survey of dictionary use to date with nearly 10,000 participants in nearly thirty countries. The paper focuses on the comparison of the results of the Slovenian participants with the results of the participants from other European countries. The comparisons are made both with the European averages, and with the results from individual countries, in order to determine in which aspects Slovenian participants share similarities with other dictionary users (and non-users) around Europe, and in which aspects they differ. The findings show that in many ways the Slovenian users are similar to their European counterparts, with some noticeable exceptions, including (much) stronger preference for digital dictionaries over print ones, above-average reliance on other people when dictionary does not contain the relevant information, and the largest difference between the price of a dictionary and the amount willing to spend on it.
In dem Beitrag präsentieren und diskutieren die Autoren zunächst einige Untersuchungen aus der Benutzungsforschung zu elektronischen Wörterbüchern, die sich mit der nutzerseitigen Beurteilung des Mehrwerts multimedialer und benutzeradaptiver Elemente befassen (Kap. 1. In einem zweiten Teil versuchen sie, ausgehend von den Stärken und Schwächen vorhandener Ansätze in diesem Bereich, Antworten auf die Frage zu finden, welche Anforderungen an Visualisierungstechniken und ‑strategien in elektronischen Wörterbüchern gestellt werden müssen, um einen solchen Mehrwert zu erhalten (Kap. 2). Abschließend stellen sie als praktisches Beispiel für eine mögliche Umsetzung solcher Anforderungen den Prototyp einer Software zur interaktiven Erkundung von Wortbildungsangaben im Wörterbuch vor.
Wie nun bereits seit einigen Jahren üblich, wurde die IDS-Jahrestagung auch dieses Jahr wieder von einer Methodenmesse begleitet, auf der sich passend zum Tagungsthema anwendungsorientierte Projekte mit Bezug zur Lexikonforschung präsentierten. Die Bandbreite der dargebotenen Themen war sehr groß: innovative methodische Ansätze im Bereich der Translationswissenschaft, Tools zur Analyse und Beschreibung lexikalischer Muster oder zur Detektion von Neologismen, neue lexikografische Ressourcen bis hin zu Infrastrukturaktivitäten und einem Kooperationsprojekt zwischen Schüler/innen und Wissenschaftler/innen zur Wortschatzanalyse. Im Folgenden sollen die einzelnen Projekte, die sich auf der Messe präsentiert haben, auf der Basis der eingereichten Abstracts der Messeteilnehmer/innen kurz vorgestellt werden.
Dictionary usage research is a topic of increasing importance within the field of lexicography. At the beginning of the new millennium, the dictionary user was still relatively unknown. However, in the last ten years, more and more user studies have been published. Consequently, methods, data and the conclusions which can be drawn were successively refined. Also, new possibilities of web-based data collection, e.g., the analysis of log files, enriched this field of research. This contribution aims to describe the state of the art in dictionary usage research in the digital era. I begin by providing a short overview of methodological and terminological basics and then place a special focus on three different methods of collecting empirical data on dictionary use: online questionnaires, eye tracking and the analysis of log-files. All these methods are illustrated on user studies conducted at the Institute for the German Language in Mannheim.
To design effective electronic dictionaries, reliable empirical information on how dictionaries are actually being used is of great value for lexicographers. To my knowledge, no existing empirical research addresses the context of dictionary use, or, in other words, the extra-lexicographic situations in which a dictionary consultation is embedded. This is mainly due to the fact that data about these contexts are difficult to obtain. To take a first step in closing this research gap, we incorporated an open-ended question (“In which contexts or situations would you use a dictionary?”) into our first online survey (N = 684). Instead of presenting well-known facts about standardized types of usage situation, this chapter will focus on the more offbeat circumstances of dictionary use and aims of users, as they are reflected in the responses. Overall, my results indicate that there is a community whose work is closely linked with dictionaries. Dictionaries are also seen as a linguistic treasure trove for games or crossword puzzles, and as a standard which can be referred to as an authority. While it is important to emphasize that my results are only preliminary, they do indicate the potential of empirical research in this area.
The methods utilized in the area of research into dictionary use are established research methods in the social sciences. After explicating the different steps of a typical empirical investigation, this article provides examples of how these different methods are used in various user studies conducted in the field of using online dictionaries. Thereby, different kinds of data collection (surveys as online questionnaires, log files and eye tracking) as well as different research design structures (for instance, ex-post-facto design or experimental design) are discussed.
The Online-Wortschatz-Informationssystem Deutsch (OWID Online German Lexical Information System) is a lexicographic Internet portal for various electronic dictionary resources that are being compiled at the Institute for the German Language (Institut für Deutsche Sprache, IDS). The main emphasis of OWID is on academic lexicographic resources of contemporary German. Presently, the following dictionaries are included in OWID: a dictionary of contemporary German called elexiko, a dictionary of neologisms, a small dictionary of collocations, and a discourse dictionary covering the lexemes that establish the discourse about “guilt” in the early post-war era 1945-1955. In the near future (2010/2011), several additional dictionaries will be published in OWID: a Textbook of German Communication Verbs, a Valency Dictionary of German Verbs, two further discourse dictionaries – one about the “democracy” discourse around 1968, the other covering the keywords of the German reunification 1989/1990. Moreover, 300 entries from a corpus-based project on proverbs will be integrated into OWID. Thereby, OWID is a constantly growing resource for academic lexicographic work of the German language.
Altogether, OWID is a special kind of dictionary portal owing to its content and its design, namely the integration of the various dictionaries, the access possibilities and the presentation features. With OWID, we try to establish a dictionary net where the different resources are jointly accessible not only by headwords, but also on the microstructural level. Prerequisite for these common access- and navigation-possibilities across the various dictionaries is the same concept for the lexicographic data model which we put into practice in OWID. Data from all dictionaries in OWID are structured according to a tailor-made, fine-granular, XML-based data model. In this data model, similar content is modelled similarly, dictionary related differences are preserved.
The main tasks for the future are to enhance OWID with further dictionary resources, to improve the inner access structures so that they exhaust the possibilities of the data model, and to customize the layout of the dictionaries as well as the search options according to the user’s needs