410 Linguistik
Refine
Year of publication
- 2010 (39) (remove)
Document Type
- Part of a Book (22)
- Conference Proceeding (10)
- Article (7)
Has Fulltext
- yes (39)
Is part of the Bibliography
- no (39)
Keywords
- Deutsch (13)
- Computerunterstützte Lexikographie (6)
- Automatische Sprachanalyse (5)
- Korpus <Linguistik> (5)
- Semantik (4)
- Annotation (3)
- Computerlinguistik (3)
- Sprachvariante (3)
- Distribution <Linguistik> (2)
- Frame-Semantik (2)
Publicationstate
- Veröffentlichungsversion (24)
- Postprint (7)
- Zweitveröffentlichung (2)
Reviewstate
- (Verlags)-Lektorat (22)
- Peer-Review (7)
Publisher
Dieser Beitrag gibt einen Überblick über CoDII, die Collection of Distributionally Idiosyncratic Items. CoDII ist eine elektronische Sammlung verschiedener Untergruppen lexikalischer Elemente, die sich durch idiosynkratische Distribution auszeichnen. Das bedeutet, dass sich die Verteilung dieser Lexeme im Text nicht alleine aufgrund ihrer syntaktischen Kategorie Vorhersagen lässt. Die Methoden, die in der Entwicklung von CoDII angewandt werden, greifen über traditionelle Fachgrenzen hinaus und umfassen Korpuslinguistik, Computerlinguistik, Phraseologie und theoretische Sprachwissenschaft. Ein wichtiger Schwerpunkt unserer Diskussion liegt auf der Darstellung, inwiefern die in CoDII gesammelten, annotierten und unter anderem mit Suchwerkzeugen abfragbaren Daten dazu beitragen können, die linguistische Theoriebildung durch die Bereitstellung sorgfältig aufbereiteter Datensammlungen bei der Überprüfung ihrer Datengrundlage zu unterstützen.
Authors like Fillmore 1986 and Goldberg 2006 have made a strong case for regarding argument omission in English as a lexical and construction-based affordance rather than one based on general semantico-pragmatic constraints. They do not, however, address the question of how grammatical restrictions on null complementation might interact with broader narrative conventions, in particular those of genre. In this paper, we attempt to remedy this oversight by presenting a comprehensive overview of genre-based argument omissions and offering a construction-based analysis of genre-based omission conventions. We consider five genre-based omission types: instructional imperatives (Culy 1996, Bender 1999), labelese, diary style (Haegeman 1990), match reports (Ruppenhofer 2004) and quotative clauses. We show that these omission types share important traits; all, for example, have anaphoric rather than indefinite construals. We also show, however, that the omission types differ from each other in idiosyncratic ways. We then address several interrelated representational problems posed by the grammatical treatment of genre-based omissions. For example, the constructions that represent genre-based omission conventions must interact with the lexical entries of verbs, many of which do not generally permit omitted arguments. Accordingly, we offer constructional analyses of genre-based omissions that allow constructions to override lexical valence constraints.
Preface
(2010)
Conventional descriptions of synonymous items often concentrate on common semantic traits and the degree of semantic overlap they exhibit. Their aim is to offer classifications of synonymy rather than elucidating ways of establishing contextual meaning equivalence and the cognitive prerequisites for this. Generally, they lack explanations as to how synonymy is construed in actual language use. This paper investigates principles and cognitive devices of synonymy construction as they appear in corpus data, and focuses on questions of how meaning equivalence might be conceptualised by speakers.
This paper provides a general overview of the treatment of lexico-semantic relations in different fields of research including theoretical and application-oriented disciplines. At the same time, it sketches the development of the descriptions and explanations of sense relations in various approaches as well as some methodologies which have been used to retrieve and analyse paradigmatic patterns.
Perhaps the biggest challenge in derivational morphology is to reconcile morphological idiosyncrasy with semantic regularity. How can it be explained that words with dead affixes and irregulär allomorphy can nonetheless exhibit straightforward and stable semantic relations to their etymological bases (cf. strength ‘property of being strong’, obedience ‘act of obeying’, ‘property of being obedient’)? Theories based on the idea of capturing regularity in terms of synthetic rules for building up complex words out of morphemes along with rules for interpreting such structures in a compositional fashion have not made - and arguably cannot make - sense of this phenomenon. Taking the perspective of the learner in acquisition, I propose an alternative approach to meaning assignment based, not on syntagmatic relations among their constituent morphemes, but on paradigmatic relations between whole words. This approach not only explains the conditions under which meaning relations between words are expected to be stable but also accounts for another notorious mystery in derivational morphology, the frequent occurrence of total synonymy among affixes, as opposed to words.
Introduction
(2010)
Consistency of reference structures is an important issue in lexicography and dictionary research, especially with respect to information on sense-related items. In this paper, the systematic challenges of this area (e.g. ‘non-reversed reference’, bidirectional linking being realised as unidirectional structures) will be outlined, and the problems which can be caused by these challenges for both lexicographers and dictionary users will be discussed. The paper also discusses how text-technological Solutions may help to provide Support for the consistency of sense-related pairings during the process of compiling a dictionary.
We present a method and a software tool, the FrameNet Transformer, for deriving customized versions of the FrameNet database based on frame and frame element relations. The FrameNet Transformer allows users to iteratively coarsen the FrameNet sense inventory in two ways. First, the tool can merge entire frames that are related by user-specified relations. Second, it can merge word senses that belong to frames related by specified relations. Both methods can be interleaved. The Transformer automatically outputs format-compliant FrameNet versions, including modified corpus annotation files that can be used for automatic processing. The customized FrameNet versions can be used to determine which granularity is suitable for particular applications. In our evaluation of the tool, we show that our method increases accuracy of statistical semantic parsers by reducing the number of word-senses (frames) per lemma, and increasing the number of annotated sentences per lexical unit and frame. We further show in an experiment on the FATE corpus that by coarsening FrameNet we do not incur a significant loss of information that is relevant to the Recognizing Textual Entailment task.
We describe the SemEval-2010 shared task on “Linking Events and Their Participants in Discourse”. This task is an extension to the classical semantic role labeling task. While semantic role labeling is traditionally viewed as a sentence-internal task, local semantic argument structures clearly interact with each other in a larger context, e.g., by sharing references to specific discourse entities or events. In the shared task we looked at one particular aspect of cross-sentence links between argument structures, namely linking locally uninstantiated roles to their co-referents in the wider discourse context (if such co-referents exist). This task is potentially beneficial for a number of NLP applications, such as information extraction, question answering or text summarization.