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Sogenannte „Pragmatikalisierte Mehrworteinheiten“ sind im Deutschen hochfrequent und unterliegen bisweilen tiefgreifenden phonetischen Reduktionsprozessen. Diese können Realisierungsvarianten hervorbringen, die in der Rückschau auf mehr als eine lexematische Ursprungsform zurückführbar sind. Die vorliegende Studie untersucht mit [ˈzɐmɐ] einen besonders prägnanten Fall dieser Art anhand eines Perzeptionsexperimentes.
Am Beispiel der polyfunktionalen Mehrworteinheit <was weiß ich> wird das Zusammenspiel von pragmatischer und phonetischer Ausdifferenzierung in Pragmatikalisierungsprozessen untersucht. Hierzu werden spontan-sprachliche Belege aus dem Korpus „Deutsch heute“ analysiert. Die beobachtete phonetische Variationsbreite deutet auf eine komplexe Beziehung zu den jeweiligen pragmatischen Funktionen hin.
One central goal of the project ‘Zentrum für digitale Lexikographie der deutschen Sprache’ (Center for digital lexicography for the German Language, www.zdl.org) is to provide a corpus-based lexicographic component of common German multi-word expressions (MWE), including idioms, for DWDS (www.dwds.de), a general language dictionary of contemporary German. As a central challenge of this task, we have identified an adequate lexicographic representation of such common properties of MWE as variation and modification. To document the variation, we have developed a special entry-clustering model, which we call hub-node entry. This model comprises a core hub entry headed by a short nuclear form of the MWE and several node entries, which represent the most common variants in their full lexical forms.
This paper describes a method for automatic identification of sentences in the Gigafida corpus containing multi-word expressions (MWEs) from the list of 5,242 phraseological units, which was developed on the basis of several existing open-access lexical resources for Slovene. The method is based on a definition of MWEs, which includes information on two levels of corpus annotation: syntax (dependency parsing) and morphology (POS tagging), together with some additional statistical parameters. The resulting lexicon contains 12,358 sentences containing MWEs extracted from the corpus. The extracted sentences were analysed from the lexicographic point of view with the aim of establishing canonical forms of MWEs and semantic relations between them in terms of variation, synonymy, and antonymy.
This paper presents the main issues connected with the creation of a trilingual Hungarian-Italian-English dictionary of the COVID-19 pandemic using Lexonomy. My aim is not only to create a coronacorpus (in Hungarian, I propose my own corona-neologism or ‘coroneologism’: koronakorpusz) and a dictionary of equivalents, but also to understand how the different waves and phases of the COVID-19 pandemic are changing the Hungarian language, detect the Corona-, COVID-, pandemic-, virus-, mask-, quarantine-, and vaccine-related neologisms, and offer an overview of the most frequent or linguistically interesting Hungarian neologisms and multiword units related to COVID-19.
The FrameNet lexical database yields information about collocations and multiword expressions in various ways. In some cases phrasal units have been entered from the start as lexical entries (write down). In other cases headword + preposition pairs can be recognized as special collocations Where the preposition in question is a necessary and lexically specified marker of an argument of the headword + fond of, hostile to). Nominal compounds are annotated with respect to noun or (pertinative) adjective modifiers, some of which are analyzable but also entrenched (wheel chair, fiscal year). Nouns that name aggregates, portions, types, etc., sometimes hold lexically specified relations to their dependents (flock of geese). And event nouns frequently Select the support verbs which permit them to enter into predications (file an objection, enter a plea). A subproject aims at extracting, as structured clusters of lexical items, the minimal semantically central kernel dependency graphs from the set of annotations. Such research will yield not only commonplace groupings (eat: dog, bone) but will also yield hitherto unnoticed collocations within such graphs (answer: you, door) where certain dependency links within them are idiomatic or otherwise lexically special, here answer > door. Collocational information can also be retrieved by various types of queries within our MySQL search tool
This paper presents our model of ‘MultiWord Patterns’ (MWPs). MWPs are defined as recurrent frozen schemes with fixed lexical components and productive slots that have a holistic – but not necessarily idiomatic – meaning and/or function, sometimes only on an abstract level. These patterns can only be reconstructed with corpus-driven, iterative (qualitative-quantitative) methods. This methodology includes complex phrase searches, collocation analysis that not only detects significant word pairs, but also significant syntagmatic cotext patterns and slot analysis with our UWV Tool. This tool allows us to bundle KWICs in order to detect the nature of lexical fillers for and to visualize MWP hierarchies.
Both compounds and multi-word expressions are complex lexical units, made up of at least two constituents. The most basic difference is that the former are morphological objects and the latter result from syntactic processes. However, the exact demarcation between compounds and multi-word expressions differs greatly from language to language and is often a matter of debate in and across languages. Similarly debated is whether and how these two different kinds of units complement or compete with each other.
The volume presents an overview of compounds and multi-word expressions in a variety of European languages. Central questions that are discussed for each language concern the formal distinction between compounds and multi-word expressions, their formation and their status in lexicon and grammar.
The volume contains chapters on German, English, Dutch, French, Italian, Spanish, Greek, Russian, Polish, Finnish, and Hungarian as well as a contrastive overview with a focus on German. It brings together insights from word-formation theory, phraseology and theory of grammar and aims to contribute to the understanding of the lexicon, both from a language-specific and cross-linguistic perspective.