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Статтю присвячено дослідженню комунікативних невдач у мовленнєвому жанрі відеоінтерв’ю крізь призму української національної ідентичності. Визначено тематику, типи і жанрово-мовну специфіку українського відеоінтерв’ю як зразка діалогічного мовлення. Встановлено специфіку комунікативних невдач у цьому жанрі (зі спортсменами, політиками і культурними діячами) з огляду на позиції комунікантів, структурні рівні досліджуваного жанру та максими спілкування.
The article deals with communicative failures of journalists in “YouTube” celebrity video interviews in the Ukrainian and German linguacultures from the point of view of social interaction and the theory of speech genres at all structural levels of the communicative genre construction, establishing common and distinctive features in both linguacultures. The analysis made it possible to conclude that behind a language (speech) failure there is a violation caused by a journalist, a respondent, or an external noise.
Innerhalb der für das Paronymprojekt aufgestellten Stichwortliste lassen sich zahlreiche Wortbildungsmuster erkennen. Deren Übereinstimmung von theoretischer Wortbildung und praktischem Sprachgebrauch soll in diesem Beitrag anhand von zehn auf -freit-los endender Paronympaare untersucht werden. Es wird gezeigt, dass diese Wortbildungsgruppe in vielfacher Hinsicht in sich heterogen ist. So lässt sich weder eine Präferenz für eine Endung ausmachen, noch entsprechen die Endungen einer einheitlichen Bedeutung. Auch werden die Paronyme mal synonym, mal teil-synonym und mal semantisch gänzlich unabhängig voneinander verwendet. In diesem Beitrag wird anhand von konkreten Korpusbeispielen gezeigt, wie unterschiedlich sich die einzelnen, mit gleichen Endungen gebildeten Paronympaare kontextuell verhalten.
Central complements: good arguments are self-explanatory.
Together with its central complements, verbs model basic patterns of interaction. The constellations of these complements in turn correspond to central patterns of the argument structure. Nominative and accusative complements formally occupy the first and second positions (subject and object), but they also have certain semantic preferences. The formal function of the dative is less pronounced, where it occurs (ditransitive verbs) the semantic imprint of the frame („transfer“) is very strong. This corresponds to the meaning of a core group of corresponding verbs. Other verbs that allow this pattern are used more often in other valence structures and the ditransitive use appears as a systematic way of personal extension of object‑related activities. This will be discussed with reference to the verbs zeigen and (in a different way) lehren.
In this paper we present the results of a survey conducted among students of German Philology at Adam Mickiewicz University in Poznań in the years 2015–2017. The target group was composed of first-semester students from whom we collected data about their lexicographical competence at the start of the program. The results contain some interesting findings, e.g. students prefer online dictionaries, but the number of students using print dictionaries is comparable and we have also observed the rising number of students who use smartphone applications. The aim of the survey is to provide information for university instructors who teach German as a foreign language (DaF) and lexicography.
We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependencybased and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.
We report on a new project building a Natural Language Processing resource for Zulu by making use of resources already available. Combining tagging results with the results of morphological analysis semi-automatically, we expect to reduce the amount of manual work when generating a finely-grained gold standard corpus usable for training a tagger. From the tagged corpus, we plan to extract verb-argument pairs with the aim of compiling a verb valency lexicon for Zulu.
Tourlex: ein deutsch-italienisches Fachwörterbuch zur Tourismussprache für italienische DaF-Lerner
(2019)
Tourlex is a specialized bilingual online dictionary under construction hosted at the University of Mannheim with a particular focus on collocations and multi-word units. The languages included are German and Italian, but because of the need for online dictionaries of tourism language (Flinz 2015: 56) the framework is open to the inclusion of other languages. Tourlex is a corpus-based dictionary, i.e. the primary sources will be corpora, in particular a proper bilingual comparable corpus analysed with the tools Sketch Engine and Lexpan, and the freely accessible corpus DeReKo. The aim of this paper is to give an overview of the main actions (already done but also in planning), according to the phases of the lexicographical process of a dictionary under construction. The description of each phase will be enriched by examples taken from the project, showing also how the decisions taken to satisfy the needs of the user, the Italian learner of German as a foreign language, had influenced the microstructure of the entries. We conclude with a final reflection on the data, facts, and ongoing problems.
As the Web ought to be considered as a series of sources rather than as a source in itself, a problem facing corpus construction resides in meta-information and categorization. In addition, we need focused data to shed light on particular subfields of the digital public sphere. Blogs are relevant to that end, especially if the resulting web texts can be extracted along with metadata and made available in coherent and clearly describable collections.