418 Standardsprache; Angewandte Linguistik
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Dialogue acts in Verbmobil 2
(1998)
This report describes the dialogue phases and the second edition dialogue acts which are used in the VERBMOBIL 2 project [...]. While in the first project phase the scenario was restricted to appointment scheduling dialogues, it has been extended to travel planning in the second phase with appointment scheduling being only a part of the new scenario.
This study examines the particularities of multilingual discourse, based on the example of recorded conversations in a trilingual family in Canada. It combines two different fields of linguistic research: multilingualism and conversation analysis. The study of multilingualism has developed into a popular field of linguistic research over the past two decades. In general, it focuses on bilingualism as a social and individual phenomenon, and in particular on the alternation between two languages in the speech of bilinguals. For this alternation, the term code-switching is widely used. Usually, the term refers to language alternation both between sentences and within sentence boundaries. From a sociolinguistic perspective code-switching is often interpreted as a means of signaling group membership in bilingual communities, whereas grammatical analyses examine how morphosyntactic units from different languages are combined (and can be combined) within one sentence. Auer (1998: 3) suggests the study of the conversational structure of code-switching as a third perspective on bilingual language usage, one that he claims has been widely neglected by linguistic research in the past. In particular, those cases of language alternation between utterances (sentences) but within the same conversation cannot be described adequately from either a macro-sociolinguistic or a morphosyntactic perspective.
While the sortal constraints associated with Japanese numeral classifiers are wellstudied, less attention has been paid to the details of their syntax. We describe an analysis implemented within a broadcoverage HPSG that handles an intricate set of numeral classifier construction types and compositionally relates each to an appropriate semantic representation, using Minimal Recursion Semantics.
While the sortal constraints associated with Japanese numeral classifiers are well-studied, less attention has been paid to the details of their syntax. We describe an analysis implemented within a broad-coverage HPSG that handles an intricate set of numeral classifier construction types and compositionally relates each to an appropriate semantic representation, using Minimal Recursion Semantics.
We present an effort for the development of multilingual named entity grammars in a unification-based finite-state formalism (SProUT). Following an extended version of the MUC7 standard, we have developed Named Entity Recognition grammars for German, Chinese, Japanese, French, Spanish, English, and Czech. The grammars recognize person names, organizations, geographical locations, currency, time and date expressions. Subgrammars and gazetteers are shared as much as possible for the grammars of the different languages. Multilingual corpora from the business domain are used for grammar development and evaluation. The annotation format (named entity and other linguistic information) is described. We present an evaluation tool which provides detailed statistics and diagnostics, allows for partial matching of annotations, and supports user-defined mappings between different annotation and grammar output formats.
The Deep Linguistic Processing with HPSG Initiative (DELH-IN) provides the infrastructure needed to produce open-source semantic transfer-based machine translation systems. We have made available a prototype Japanese-English machine translation system built from existing resources include parsers, generators, bidirectional grammars and a transfer engine.
In this paper we describe SOBA, a sub-component of the SmartWeb multi-modal dialog system. SOBA is a component for ontologybased information extraction from soccer web pages for automatic population of a knowledge base that can be used for domainspecific question answering. SOBA realizes a tight connection between the ontology, knowledge base and the information extraction component. The originality of SOBA is in the fact that it extracts information from heterogeneous sources such as tabular structures, text and image captions in a semantically integrated way. In particular, it stores extracted information in a knowledge base, and in turn uses the knowledge base to interpret and link newly extracted information with respect to already existing entities.
This demo abstract describes the SmartWeb Ontology-based Information Extraction System (SOBIE). A key feature of SOBIE is that all information is extracted and stored with respect to the SmartWeb ontology. In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBIE is visualized within its original context, thus enhancing the browsing experience of the end user.
Estudo linguístico comparativo sobre onomatopeias em histórias em quadrinhos : Português / Alemão
(2011)
Nesta pesquisa foi investigado o uso peculiar das onomatopeias na linguagem das histórias em quadrinhos e como o processo de criação de novas expressões nesse context respeita o sistema fonético e fonotático de cada língua. Foi realizada uma pesquisa empírica, para a qual falantes nativos de língua portuguesa e alemã foram solicitados a sugerir ou criar as onomatopeias que julgassem adequadas para diversas cenas de histórias em quadrinhos que lhes foram apresentadas editadas, com as onomatopeias originais retiradas. Através da análise dos dados foi possível identificar algumas características específicas quanto à sequência fonética e a organização silábica das onomatopeias nesses idiomas.
The research performed in the DeepThought project aims at demonstrating the potential of deep linguistic processing if combined with shallow methods for robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. On the basis of this approach, the feasibility of three ambitious applications will be demonstrated, namely: precise information extraction for business intelligence; email response management for customer relationship management; creativity support for document production and collective brainstorming. Common to these applications, and the basis for their development is the XML-based, RMRS-enabled core architecture framework that will be described in detail in this paper. The framework is not limited to the applications envisaged in the DeepThought project, but can also be employed e.g. to generate and make use of XML standoff annotation of documents and linguistic corpora, and in general for a wide range of NLP-based applications and research purposes.