Statistische Aufbereitung von Untersuchungsergebnissen
Sobald eine statistische Datenanalyse abgeschlossen ist, müssen in einem weiteren Schritt die Untersuchungsergebnisse aufbereitet und dargestellt werden. Hierzu gibt es verschiedene Möglichkeiten, die davon abhängig sind, welche Art von Analyse man...
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Sobald eine statistische Datenanalyse abgeschlossen ist, müssen in einem weiteren Schritt die Untersuchungsergebnisse aufbereitet und dargestellt werden. Hierzu gibt es verschiedene Möglichkeiten, die davon abhängig sind, welche Art von Analyse man durchgeführt hat. Aus diesem Grund ist der Beitrag gegliedert in die Aufbereitung von Ergebnissen für deskriptive, also beschreibende statistische Analysen (Abschnitt 2) und in die Ergebnisdarstellung von inferenzstatistischen (= schließenden) Auswertungen (Abschnitt 3). Wir gehen dabei auf die Aufbereitung der Daten in Tabellenform ein, werden an einem Beispiel zeigen, wie man die Ergebnisse von statistischen Tests berichtet und einige Visualisierungsmöglichkeiten vorstellen.
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OWIDplusLIVE. Day-to-day collection, exploration, analysis, and visualization of N-Gram frequencies in German (online press) language
With OWIDplusLIVE, we would like to introduce the EURALEX community to two resources that provide analytical access to daily updated data (data: frequency data and N-grams – reference point: previous day).
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With OWIDplusLIVE, we would like to introduce the EURALEX community to two resources that provide analytical access to daily updated data (data: frequency data and N-grams – reference point: previous day).
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An automated cluster constructor for a narrated dictionary. The Cross-reference Clusters of Wortgeschichte digital
Wortgeschichte digital (Digital Word History) is an emerging historical dictionary of the German language that focuses on describing semantic shifts from about 1600 through today. This article provides deeper insight into the dictionary’s...
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Wortgeschichte digital (Digital Word History) is an emerging historical dictionary of the German language that focuses on describing semantic shifts from about 1600 through today. This article provides deeper insight into the dictionary’s “cross-reference clusters,” one of its software tools that performs visualization of its reference network. Hence, the clusters are a part of the project’s macrostructure. They serve as both a means for users to find entries of interest and a tool to elucidate relations among dictionary entries. Rather than delve into technical aspects, this article focuses on the applied logics of the software and discusses the approach in light of the dictionary’s microstructure. The article concludes with some considerations about the clusters’ advantages and limitations.
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Wortgeschichte digital: A historical dictionary of New High German
Wortgeschichte digital (‘digital word history’) is a new historical dictionary of New High German, the most recent period of German reaching from approximately 1600 AD up to the present. By contrast to many historical dictionaries, Wortgeschichte...
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Wortgeschichte digital (‘digital word history’) is a new historical dictionary of New High German, the most recent period of German reaching from approximately 1600 AD up to the present. By contrast to many historical dictionaries, Wortgeschichte digital has a narrated text – a “word history” – at the core of its entries. The motivation for choosing this format rather than traditional microstructures is briefly outlined. Special emphasis it put on the way these word histories interact with other components of the dictionary, notably with the quotation section. As Wortgeschichte digital is an online only project, visualizations play an important role for the design of the dictionary. Two examples are presented: first, the “quotation navigator” which is relevant for the microstructure of the entries, and, second, a timeline (“Zeitstrahl”) which is part of the macrostructure as it gives access to the lemma inventory from a diachronic point of view.
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