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Some 25 years ago, a large-scale repatriation of Russian Germans began. As a result, more than 2,5 million people that grew up in the USSR, Russia, or other post-Soviet states, became German citizens who had native or near-native command of the Russian language. The uncomfortable differences they exhibited in comparison to those who were supposed to accept them as equals, yet failed to do so, compelled them to search for self-designations that would accommodate their new identity and to bond together to form a new minority. The authors examine the attempts of Soviet/Russian Germans to redefine their ethnic identity in terms of not just blood but also language and culture, focusing on two particular cases: the use of the name Rusak in the internet forums of the repatriated immigrants; and the linguistic-cultural practices of the older generation of immigrants.
In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/ cllt.2005.1.2.277. http://www.degruyter.com/view/j/cllt.2005.1.issue-2/cllt.2005. 1.2.277/cllt.2005.1.2.277.xml: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.
In Deutschland gibt es Anzeichen für ein zunehmendes Interesse an der eigenen Sprache. Dennoch ergeben sich hier wie in anderen europäischen Ländern mit der kommunikativen Internationalisierung Probleme für die weitere Entwicklung der Hochsprachen, die für die kulturelle Vielfalt des Kontinents konstitutiv sind. Die steigende Tendenz, Englisch als einzige internationale Verkehrssprache und auch national als Fachsprache in mehreren Domänen zu verwenden, wird verstärkt durch einen Fremdsprachenunterricht, der in Deutschland wie in anderen Ländern Englisch zu Lasten anderer Sprachen bevorzugt. Dieser Entwicklung sucht die Europäische Union zu begegnen, indem sie das Ziel M + 2 Sprachen (Muttersprache plus zwei andere Sprachen) für alle Europäer propagiert. Dieses Programm wird auch von der Europäischen Föderation nationaler Sprachinstitutionen (EFNIL) unterstützt, das Netzwerke der zentralen Spracheinrichtungen der EU- Staaten, das sich für die Erhaltung und Weiterentwicklung der europäischen Sprachenvielfalt und die Mehrsprachigkeit der Europäer einsetzt. Für dieses Ziel sind aber Einsicht und Interesse bei vielen Deutschen noch zu wecken oder zu verstärken.
Sound units play a pivotal role in cognitive models of auditory comprehension. The general consensus is that during perception listeners break down speech into auditory words and subsequently phones. Indeed, cognitive speech recognition is typically taken to be computationally intractable without phones. Here we present a computational model trained on 20 hours of conversational speech that recognizes word meanings within the range of human performance (model 25%, native speakers 20–44%), without making use of phone or word form representations. Our model also generates successfully predictions about the speed and accuracy of human auditory comprehension. At the heart of the model is a ‘wide’ yet sparse two-layer artificial neural network with some hundred thousand input units representing summaries of changes in acoustic frequency bands, and proxies for lexical meanings as output units. We believe that our model holds promise for resolving longstanding theoretical problems surrounding the notion of the phone in linguistic theory.
Languages employ different strategies to transmit structural and grammatical information. While, for example, grammatical dependency relationships in sentences are mainly conveyed by the ordering of the words for languages like Mandarin Chinese, or Vietnamese, the word ordering is much less restricted for languages such as Inupiatun or Quechua, as these languages (also) use the internal structure of words (e.g. inflectional morphology) to mark grammatical relationships in a sentence. Based on a quantitative analysis of more than 1,500 unique translations of different books of the Bible in almost 1,200 different languages that are spoken as a native language by approximately 6 billion people (more than 80% of the world population), we present large-scale evidence for a statistical trade-off between the amount of information conveyed by the ordering of words and the amount of information conveyed by internal word structure: languages that rely more strongly on word order information tend to rely less on word structure information and vice versa. Or put differently, if less information is carried within the word, more information has to be spread among words in order to communicate successfully. In addition, we find that–despite differences in the way information is expressed–there is also evidence for a trade-off between different books of the biblical canon that recurs with little variation across languages: the more informative the word order of the book, the less informative its word structure and vice versa. We argue that this might suggest that, on the one hand, languages encode information in very different (but efficient) ways. On the other hand, content-related and stylistic features are statistically encoded in very similar ways.