Refine
Document Type
- Article (18)
- Part of a Book (17)
- Conference Proceeding (2)
- Other (2)
Is part of the Bibliography
- yes (39) (remove)
Keywords
- Computerunterstützte Lexikographie (14)
- Deutsch (10)
- Wortschatz (9)
- Benutzer (7)
- COVID-19 (7)
- Lexikostatistik (7)
- Online-Medien (6)
- Vielfalt (6)
- Wörterbuch (6)
- Sprachstatistik (4)
Publicationstate
- Veröffentlichungsversion (26)
- Zweitveröffentlichung (7)
- Postprint (1)
Reviewstate
- (Verlags)-Lektorat (12)
- Peer-Review (12)
- Verlags-Lektorat (4)
- (Verlags)Lektorat (1)
- Verlagslektorat (1)
In this contribution, we present a novel approach for the analysis of cross-reference structures in digital dictionaries on the basis of the complete dictionary database. Using paradigmatic items in the German Wiktionary as an example, we show how analyses based on graph theory can be fruitfully applied in this context, e. g. to gain an overview of paradigmatic references as a whole or to detect closely connected groups of headwords. Furthermore, we connect information about cross-reference structures with corpus frequencies and log file statistics. In this way, we can answer questions such as the following ones: Are frequent words paradigmatically linked more closely than others? Are closely linked headwords or headwords that stand more solitary in the dictionary visited significantly more often?
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.
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.
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.
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.
This contribution presents the procedure used in the Handbuch deutscher Kommunikationsverben and in its online version Kommunikationsverben in the lexicographical internet portal OWID to divide sets of semantically similar communication verbs into ever smaller sets of ever closer synonyms. Kommunikationsverben describes the meaning of communication verbs on two levels: a lexical level, represented in the dictionary entries and by sets of lexical features, and a conceptual level, represented by different types of situations referred to by specific types of verbs. The procedure starts at the conceptual level of meaning where verbs used to refer to the same specific situation type are grouped together. At the lexical level of meaning, the sets of verbs obtained from the first step are successively divided into smaller sets on the basis of the criteria of (i) identity of lexical meaning, (ii) identity of lexical features, and (iii) identity of contexts of usage. The stepwise procedure applied is shown to result in the creation of a semantic network for communication verbs.
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.
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.