Sprache im 20. Jahrhundert. Gegenwartssprache
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We present evidence for the analysis of the vowels in English <say> and <so> as biphonemic diphthongs /ɛi/ and /əu/, based on neutralization patterns, regular alternations, and foot structure. /ɛi/ and /əu/ are hence structurally on a par with the so called “true diphthongs” /ɑi/, /ɐu/, /ɔi/, but also share prosodic organization with the monophthongs /i/ and /u/. The phonological evidence is supported by dynamic measurements based on the American English TIMIT database.
Calculations of F2-slopes proved to be especially suited to distinguish the relevant groups in accordance with their phonologically motivated prosodic organizations.
The goal of the MULI (MUltiLingual Information structure) project is to empirically analyse information structure in German and English newspaper texts. In contrast to other projects in which information structure is annotated and investigated (e.g. in the Prague Dependency Treebank, which mirrors the basic information about the topic-focus articulation of the sentence), we do not annotate theory-biased categories like topic-focus or theme-rheme. Trying to be as theory-independent as possible, we annotate those features which are relevant to information structure and on the basis of which typical patterns, co-occurrences or correlations can be determined. We distinguish between three annotation levels: syntax, discourse and prosody. The data is based on the TIGER Corpus for German and the Penn Treebank for English, since the existing information on part-of-speech and syntactic structure can be re-used for our purposes. The actual annotation of an English example sequence illustrates our choice of categories on each level. Their combination offers the possibility to investigate how information structure is realised and can be interpreted.
This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond annotated material is usually required. The approach presented here generates phonetic questions for decision trees are based on a feature table that summarizes the articulatory characteristics of each sound. On the one hand, this method allows better language-specific triphone models to be defined given only a feature-table as linguistic input. On the other hand, the feature-table approach facilitates efficient definition of triphone models for other languages since again only a feature table for this language is required. The approach is exemplified with speech recognition systems for English and Thai.
Language attitudes may be differentiated into attitudes towards speakers and attitudes towards languages. However, to date, no systematic and differentiated instrument exists that measures attitudes towards language. Accordingly, we developed, validated, and applied the Attitudes Towards Languages (AToL) scale in four studies. In Study 1, we selected 15 items for the AToL scale, which represented the three dimensions of value, sound, and structure. The following studies replicated and validated the three-factor structure and differential mean profiles along the three dimensions for different languages (a) in a more diverse German sample (Study 2), (b) in different countries (Study 3), and (c) when participants based their evaluations on speech samples (Study 4). Moreover, we investigated the relation between the AToL dimensions and stereotypic speaker evaluations. Results confirm the reliability, validity, and generalizability of the AToL scale and its incremental value to mere speaker evaluations.
In this paper, I argue that the main questions that arise in the process of making a dictionary of political metaphors - that of identifying live conceptual metaphors in a corpus of text - may be solved on the basis of a pragmatic approach, taking into account the reflections in a text of cognitive processes in the minds of its author and its reader. Certainly, this goal cannot be attained without a further fine-grained semantic analysis o f presumably metaphoric expressions in their linguistic and cultural context.