biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities
Der Stichwortartikel führt in den Forschungsstand zum Thema migrationsbedingte Mehrsprachigkeit ein. Er knüpft an aktuelle Forschung an, in deren Mittelpunkt die Veränderung von Migrationsbewegungen steht, wie sie sich in den letzten zwei Jahrzehnten ergeben hat. Diese Veränderungen führen zu sprachlichen Texturen in den Gegenwartsgesellschaften, die diejenigen Formen der Komplexität überschreiten,...
Im Zentrum dieses Beitrags steht die Frage nach der internationalen empirischen Evidenz zu den Auswirkungen von frühkindlicher, institutioneller Bildung und Betreuung (FIBB) auf die kognitiv-leistungsbezogene und sozio-emotionale Entwicklung von Kindern sowie auf die Lebensbewältigung. Auf Basis der Ergebnisse einer systematischen Literaturrecherche wird erörtert, welche kurz- und langfristigen Auswirkungen...
Der Beitrag gibt einen Überblick zum Stand und zu den Kontroversen der erziehungswissenschaftlich orientierten Mehrsprachigkeitsforschung. Ausgangspunkt ist ein forschungsgeschichtlicher Rückblick, der die Entwicklung der Mehrsprachigkeitsforschung, die an Folgen der (migrationsbedingten) Mehrsprachigkeit für Sozialisation, Erziehung und Bildung interessiert ist, nachzeichnet. Der Forschungsstand...
parallelize loops. However, a main restriction of available tools for automatic loop parallelization is that the loops often have to be 'polyhedral' and that it is, e.g., not allowed to call functions from within the loops.In this paper, we present a seemingly simple extension to the C programming language which marks functions
desirable to delegate some subqueries to the “legacy” text-base search engines. In this paper, we propose a new query language construct for UCRDB (but can be applied to any other similar technologies such as RDF databases) that enables such a dynamic linking. Using this approach, context of the real world and legacy contents
The subject of the article are the changes of politeness customs, above all the language ones, which have occurred and continue to occur after 1989. The aim of the discussion is to verify the thesis that these changes are of democratic character, including the answer to the question of what it means and whether these
The increasing amount of data on the Web bears potential for addressing complex information needs more effectively. Instead of keyword search and browsing along links between results, users can specify the needs in terms of complex queries and obtain precise answers right away. However, users might not always know
backgrounds, geographical locations and situations. The working hypothesis of the project was that fuzzy mathematics combined with domain-specific data models, in other words, fuzzy ontologies, would help manage the uncertainty in finding information that matches the users needs. In this way, KNOWMOBILE places itself in the
In this paper we report our approaches to accomplishing the very limited resource keyword search (KWS) task in the NIST Open Keyword Search 2015 (OpenKWS15) Evaluation. We devised the methods, first, to attain better acoustic modeling, multilingual and semi-supervised acoustic model training as well as the examplar
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to determine the target language. The language classification is typically performed by extracting N-gram statistics from the token sequences and
This article introduces KWQL, spoken “quickel”, a rule-based query language for a semantic wiki based on the label-keyword query paradigm. KWQL allows for rich combined queries of full text, document structure, and informal to formal semantic annotations. It offers support for continuous queries, that is, queries
In keyword spotting applications, language modeling directly affects the system performance, as well as the acoustical modeling. This study focuses on the effects of different language models on the keyword spotting performance on Turkish voice recordings. Three different systems, one of which is proposed by us, that
As a large number of corpuses are represented, stored and published in XML format, how to find useful information from XML databases has become an increasingly important issue. Keyword search enables web users to easily access XML data without the need to learn a structured query language or to study complex data
In the area of national language processing, performing machine learning technique on customer or movie review for sentiment analysis has been? frequently tried. While methods such as? support vector machine (SVM) were much favored in the 2000s, recently there is a steadily rising percentage of implementation with
This paper compares the performance of keyword and machine learning-based chest x-ray report classification for Acute Lung Injury (ALI). ALI mortality is approximately 30 percent. High mortality is, in part, a consequence of delayed manual chest x-ray classification. An automated system could reduce the time to
Language Model (LM) constitutes one of the key components in Keyword Spotting (KWS). The rapid development of the World Wide Web (WWW) makes it an extremely large and valuable data source for LM training, but it is not optimal to use the raw transcripts from WWW due to the mismatch of content between the web corpus
A keyword-sensitive language modeling framework for spoken keyword search (KWS) is proposed to combine the advantages of conventional keyword-filler based and large vocabulary continuous speech recognition (LVCSR) based KWS systems. The proposed framework allows keyword search systems to be flexible on keyword
. The basic idea is to search for anchor words such as abstract or keywords followed by their equivalents in another language. Text fragments that follow anchor words are likely to supply new entries for bilingual lexica.
The ability to compute top-k matches to eXtensible Markup Language (XML) queries is gaining importance owing to the increasing of large XML repositories. Current work on top-k match to XML queries mainly focuses on employing XPath, XQuery or NEXI as the query language, whereas little work has concerned on top-k match
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.