Lexikografie
Refine
Document Type
- Part of a Book (10)
- Conference Proceeding (5)
- Article (4)
- Book (1)
Has Fulltext
- yes (20)
Keywords
- Computerunterstützte Lexikographie (11)
- Benutzer (7)
- Deutsch (5)
- Benutzerforschung (4)
- Korpus <Linguistik> (4)
- Online dictionary (4)
- Online-Wörterbuch (4)
- Wörterbuch (4)
- corpus (3)
- Dictionary use (2)
Publicationstate
Reviewstate
- (Verlags)-Lektorat (7)
- Peer-Review (3)
- Verlags-Lektorat (2)
- (Verlags)Lektorat (1)
Publisher
Quantitativ ausgerichtete empirische Linguistik hat in der Regel das Ziel, grose Mengen sprachlichen Materials auf einmal in den Blick zu nehmen und durch geeignete Analysemethoden sowohl neue Phanomene zu entdecken als auch bekannte Phanomene systematischer zu erforschen. Das Ziel unseres Beitrags ist es, anhand zweier exemplarischer Forschungsfragen methodisch zu reflektieren, wo der quantitativ-empirische Ansatz fur die Analyse lexikalischer Daten wirklich so funktioniert wie erhofft und wo vielleicht sogar systembedingte Grenzen liegen. Wir greifen zu diesem Zweck zwei sehr unterschiedliche Forschungsfragen heraus: zum einen die zeitnahe Analyse von produktiven Wortschatzwandelprozessen und zum anderen die Ausgleichsbeziehung von Wortstellungsvs. Wortstrukturregularitat in den Sprachen der Welt. Diese beiden Forschungsfragen liegen auf sehr unterschiedlichen Abstraktionsebenen. Wir hoffen aber, dass wir mit ihnen in groser Bandbreite zeigen konnen, auf welchen Ebenen die quantitative Analyse lexikalischer Daten stattfinden kann. Daruber hinaus mochten wir anhand dieser sehr unterschiedlichen Analysen die Moglichkeiten und Grenzen des quantitativen Ansatzes reflektieren und damit die Interpretationskraft der Verfahren verdeutlichen.
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.
What makes a good online dictionary? Empirical insights from an interdisciplinary research project
(2011)
This paper presents empirical fmdings from two online surveys on the use of online dictionaries, in which more than 1,000 participants took part. The aim of these studies was to clarify general questions of online dictionary use (e.g. which electronic devices are used for online dictionaries or different types of usage situations) and to identify different demands regarding the use of online dictionaries. We will present some important results ofthis ongoing research project by focusing on the latter. Our analyses show that neither knowledge of the participants’ (scientific or academic) background, nor the language Version of the online survey (German vs. English) allow any significant conclusions to be drawn about the participant’s individual user demands. Subgroup analyses only reveal noteworthy differences when the groups are clustered statistically. Taken together, our fmdings shed light on the general lexicographical request both for the development of a user-adaptive interface and the incorporation of multimedia elements to make online dictionaries more user-friendly and innovative.
Compared with printed dictionaries, online dictionaries provide a number of unique possibilities for the presentation and processing of lexicographical information. However, in Müller-Spitzer/Koplenig/Töpel (2011) we show that – on average - users tend to rate the special characteristics of online dictionaries (e.g. multimedia, adaptability) as (partly) unimportant. This result conflicts somewhat with the lexicographical request both for the development of a user-adaptive interface and the incorporation of multimedia elements. This contribution seeks to explain this discrepancy, by arguing that when potential users are fully informed about the benefits of possible innovative features of online dictionaries, they will come to judge these characteristics to be more useful than users that do not have this kind of information. This argument is supported by empirical evidence presented in this paper.
Der Beitrag stellt die Ergebnisse einer Onlinebenutzungsstudie zur Funktion und Rezeption von Belegen im einsprachigen deutschen Onlinewörterbuch elexiko vor. Diese werden vor dem Hintergrund allgemeiner metalexikographischer und konzeptioneller Überlegungen interpretiert, ein Ausblick führt zu weiteren relevanten Fragestellungen.
Die Benutzung von Onlinewörterbüchern ist bislang wenig erforscht. Am Institut für Deutsche Sprache in Mannheim wurde versucht, diese Forschungslücke mit einem Projekt zur Benutzungsforschung zumindest zum Teil schließen (s. www.benutzungsforschung.de). Die empirischen Studien wurden methodisch sowohl in Form von Onlinefragebögen, die neben befragenden auch experimentelle Elemente enthielten, als auch anhand eines Labortests (mit Eyetracking-Verfahren) durchgeführt. Die erste Studie untersuchte generell die Anlässe und sozialen Situationen der Verwendung von Onlinewörterbüchern sowie die Ansprüche, die Nutzer an Onlinewörterbücher stellen. An der zweisprachigen Onlinestudie (deutsch/englisch) nahmen international fast 700 Probanden teil. Durch die hohe Resonanz auf die erste Studie und den daraus folgenden Wunsch, die gewonnenen Informationen empirisch zu vertiefen, richtet sich auch die die zweite Studie an ein internationales Publikum und schloss inhaltlich an die erste Studie an. Später konzentrierten sich die Studien auf monolinguale deutsche Onlinewörterbücher wie elexiko (Studien 3 und 4), sowie auf das Wörterbuchportal OWID (Studie 5). Im Vortrag werden ausgewählte Ergebnisse der verschiedenen Studien vorgestellt.
We present studies using the 2013 log files from the German version of Wiktionary. We investigate several lexicographically relevant variables and their effect on look-up frequency: Corpus frequency of the headword seems to have a strong effect on the number of visits to a Wiktionary entry. We then consider the question of whether polysemic words are looked up more often than monosemic ones. Here, we also have to take into account that polysemic words are more frequent in most languages. Finally, we present a technique to investigate the time-course of look-up behaviour for specific entries. We exemplify the method by investigating influences of (temporary) social relevance of specific headwords.
We start by trying to answer a question that has already been asked by de Schryver et al. (2006): Do dictionary users (frequently) look up words that are frequent in a corpus. Contrary to their results, our results that are based on the analysis of log files from two different online dictionaries indicate that users indeed look up frequent words frequently. When combining frequency information from the Mannheim German Reference Corpus and information about the number of visits in the Digital Dictionary of the German Language as well as the German language edition of Wiktionary, a clear connection between corpus and look-up frequencies can be observed. In a follow-up study, we show that another important factor for the look-up frequency of a word is its temporal social relevance. To make this effect visible, we propose a de-trending method where we control both frequency effects and overall look-up trends.