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Thema dieses Beitrags sind die komplexen Nominalphrasen im Deutschen, die von außen gesehen unter Umständen monströs anmuten. Ein besonderes, wohl bekanntes Problem bieten dabei sogenannte erweiterte vorangestellte Attribute. Die Komplexitäten geben u.A. zu folgenden Fragen Anlass: Inwiefern lässt sich die ‚Ausuferung‘ der deutschen Nominalphrase funktional begründen? Falls es ein Rationales hinter den Komplexitäten gibt, wie lösen dann Sprachen, die entsprechende Ausbaumöglichkeiten nicht besitzen, die einschlägigen funktionalen Aufgaben? Hier soll primär die erste Frage diskutiert werden anhand von authentischen Text(ausschnitt)en, die das Zusammenspiel zwischen vorangestellten und nachgestellten ‚Erweiterungen‘ der Nominalphrase – Relativsätze eingeschlossen – wie auch die Funktion sogenannter nichtrestriktiver Attribute im Diskurs veranschaulichen können; die zweite Frage wird in relevanten Zusammenhängen mit berücksichtigt.
In this contribution, we report on an effort to annotate German data with information relevant to opinion inference. Such information has previously been referred to as effect or couched in terms of eventevaluation functors. We extend the theory and present an extensive scheme that combines both approaches and thus extends the set of inference-relevant predicates. Using these guidelines to annotate 726 German synsets, we achieve good inter-annotator agreement.
We investigate whether non-configurational languages, which display more word order variation than configurational ones, require more training data for a phenomenon to be parsed successfully. We perform a tightly controlled study comparing the dative alternation for English (a configurational language), German, and Russian (both non-configurational). More specifically, we compare the performance of a dependency parser when only canonical word order is present with its performance on data sets when all word orders are present. Our results show that for all languages, canonical data not only is easier to parse, but there exists no direct correspondence between the size of training sets containing free(er) word order variation and performance.
Ph@ttSessionz and Deutsch heute are two large German speech databases. They were created for different purposes: Ph@ttSessionz to test Internet-based recordings and to adapt speech recognizers to the voices of adolescent speakers, Deutsch heute to document regional variation of German. The databases differ in their recording technique, the selection of recording locations and speakers, elicitation mode, and data processing.
In this paper, we outline how the recordings were performed, how the data was processed and annotated, and how the two databases were imported into a single relational database system. We present acoustical measurements on the digit items of both databases. Our results confirm that the elicitation technique affects the speech produced, that f0 is quite comparable despite different recording procedures, and that large speech technology databases with suitable metadata may well be used for the analysis of regional variation of speech.
The effect of manipulation of a speaker’s voice as well as exposure to a native speaker’s utterance was investigated regarding the pronunciation of stops by German learners of French. Three subject groups, a Control (CG), a Manipulation (MG), and a Native Speaker (NG) Group, were recorded on two subsequent days. The MG was presented with a manipulation of their voice on the second day and the NG listened to a native French speaker, while the CG did not receive any feedback. Results show that speakers of the MG and NG were able to extract useful information from the respective feedback and successfully adapted to it. Participants were able to reduce their voice onset time values, although speakers of the NG reduced it to a greater extent.
Based on specific linguistic landmarks in the speech signal, this study investigates pitch level and pitch span differences in English, German, Bulgarian and Polish. The analysis is based on 22 speakers per language (11 males and 11 females). Linear mixed models were computed that include various linguistic measures of pitch level and span, revealing characteristic differences across languages and between language groups. Pitch level appeared to have significantly higher values for the female speakers in the Slavic than the Germanic group. The male speakers showed slightly different results, with only the Polish speakers displaying significantly higher mean values for pitch level than the German males. Overall, the results show that the Slavic speakers tend to have a wider pitch span than the German speakers. But for the linguistic measure, namely for span between the initial peaks and the non-prominent valleys, we only find the difference between Polish and German speakers. We found a flatter intonation contour in German than in Polish, Bulgarian and English male and female speakers and differences in the frequency of the landmarks between languages. Concerning “speaker liveliness” we found that the speakers from the Slavic group are significantly livelier than the speakers from the Germanic group.
This study examines the pitch profiles of French learners of German and German learners of French, both in their native language (L1), and in their respective foreign language (L2). Results of the analysis of 84 speakers suggest that for short read sentences, French and German speakers do not show pitch range differences in their native production. Furthermore, analyses of mean f0 and pitch range indicate that range is not necessarily reduced in L2 productions. These results are different from results reported in prior research. Possible reasons for these differences are discussed.
We investigated the effect of high-variability training (HVT) on the production and perception of French bilabial voiced and voiceless stops by German native speakers. Stop consonants in the two languages differ with respect to several articulatory and acoustic features. German learners of French (Experiment Group) trained the perception of word-initial bilabial stops spoken by six French native speakers using identification tests, whereas subjects of a Control Group did not perform a training. Additional perception and production tests of French words including bilabial, alveolar, and velar stops in all word positions were performed to capture the impact of HVT. Subjects were found to be quite good at distinguishing voiced and voiceless stops. However, voiceless stops received lower correctness scores than voiced ones and subjects of the Experiment group were able to further increase their scores after training. Results for production are mirror-inverted showing that subjects of the Experiment Group successfully produced longer negative VOT values but did not show an improvement for voiceless stops.
This article is concerned with the choice of a corpus to be used as the empirical basis of a bilingual, bidirectional and conceptual learner dictionary of German and Spanish. Several standard corpora as well as web corpora for German and Spanish will be compared with respect to their size, the variety of genres they contain, the time span and geographical areas covered and what kind of search facilities they allow (e.g. word queries based on lemmata rather than on word forms). It will be argued that, when standard corpora fail to meet a particular requirement, web data may provide a useful alternative for lexicographical purposes provided they are both linguistically (i.e. morpho-syntactically) and meta-linguistically tagged.
Der vorliegende Aufsatz befasst sich mit der Verbreitung des Lexems Nerd in der deutschen Sprache. Untersucht wurde die DeReKo-Datenbank hinsichtlich der Frequenz des Wortes und der ko-textuellen Umgebungen. Diese Daten wurden verglichen mit einem Korpus aus möglichen Übersetzungen des Lexems, das sich aus US-amerikanischen Serien zusammensetzt (,Scrubs‘, ,The Big Bang Theory‘, ,Family Guy‘ und ,American Dad‘). Aus der Synopse der gewonnenen Erkenntnisse und der sprachhistorischen Analyse des Lexems kann abgeleitet werden, dass Synchronfassungen den zeitgenössischen Sprachgebrauch widerspiegeln und daher auch steter Quell für Sprachwandel sind. Bezogen auf das Lexem Nerd ist der Schluss zu ziehen, dass dieses den Status eines assimilierten Fremdwortes erreicht hat und lediglich die Adjektivierung noch nicht vollständig integriert ist. Eine Übersetzung mit deutschen Lexemen erscheint in diesem Zusammenhang nicht sinnvoll.
El análisis de las obras lexicográficas existentes en espanol y en alemán para L2 confirma la necesidad de desarrollar un diccionario pedagógico con una nueva concepción, desde la cual el usuario pueda obtener una mayor información adaptada a sus necesidades. De especial relevancia es el tratamiento de la información específica con el que se puedan mejorar los procesos de producción de textos en L2 mediante un procedimiento que, teniendo en cuenta la diversidad de uso, permita seleccionar un lexema particular de la variedad de posibles lexicalizaciones. En esta contribución se presentan los aspectos teóricos y metodológicos que sustentan el proyecto DICONALE-online. Los cuatro pilares del proyecto en torno al tipo de usuarios, al enfoque conceptual y onomasiológico, a la base empírica de los datos y al modelo de descripción enlazado con un punto de vista contrastivo configuran nuevos retos para el desarrollo de la lexicografía pedagógica que se expondrán en este trabajo a partir de algunos ejemplos.
Einleitung
(2015)
We present a quantitative approach to disambiguating flat morphological analyses and producing more deeply structured analyses. Based on existing morphological segmentations, possible combinations of resulting word trees for the next level are filtered first by criteria of linguistic plausibility and then by weighting procedures based on the geometric mean. The frequencies for weighting are derived from three different sources (counts of morphs in a lexicon, counts of largest constituents in a lexicon, counts of token frequencies in a corpus) and can be used either to find the best analysis on the level of morphs or on the next higher constituent level. The evaluation shows that for this task corpus-based frequency counts are slightly superior to counts of lexical data.