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- 881 creator maarten-janssen.
- 881 creator tiago-freitas.
- 881 type InProceedings.
- 881 label "Spock - a Spoken Corpus Client".
- 881 sameAs 881.
- 881 abstract "Spock is an open source tool for the easy deployment of time-aligned corpora. It is fully web-based, and has very limited server-side requirements. It allows the end-user to search the corpus in a text-driven manner, obtaining both the transcription and the corresponding sound fragment in the result page. Spock has an administration environment to help manage the sound files and their respective transcription files, and also provides statistical data about the files at hand. Spock uses a proprietary file format for storing the alignment data but the integrated admin environment allows you to import files from a number of common file formats. Spock is not intended as a transcriber program: it is not meant as an alternative to programs such as ELAN, Wavesurfer, or Transcriber, but rather to make corpora created with these tools easily available on line. For the end user, Spock provides a very easy way of accessing spoken corpora, without the need of installing any special software, which might make time-aligned corpora corpora accessible to a large group of users who might otherwise never look at them.".
- 881 hasAuthorList authorList.
- 881 hasTopic Linguistics.
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- 881 keyword "Speech resource/database".
- 881 keyword "Tools, systems, applications".
- 881 title "Spock - a Spoken Corpus Client".
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- 882 creator hidetaka-masuda.
- 882 creator hiroshi-nakagawa.
- 882 creator noriyuki-tamura.
- 882 creator satoshi-sakai.
- 882 creator yoji-kiyota.
- 882 type InProceedings.
- 882 label "Automated Subject Induction from Query Keywords through Wikipedia Categories and Subject Headings".
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- 882 abstract "This paper addresses a novel approach that integrates two different types of information resources: the World Wide Web and libraries. This approach is based on a hypothesis: advantages and disadvantages of the Web and libraries are complemental. The integration is based on correspondent conceptual label names between the Wikipedia categories and subject headings of library materials. The method enables us to find locations of bookshelves in a library easily, using any query keywords. Any keywords which are registered as Wikipedia items are acceptable. The advantages of the method are: the integrative approach makes subject access of library resources have broader coverage than an approach which only uses subject headings; and the approach navigates us to reliable information resources. We implemented the proposed method into an application system, and are now operating the system at several university libraries in Japan. We are planning to evaluate the method based on the query logs collected by the system.".
- 882 hasAuthorList authorList.
- 882 hasTopic Linguistics.
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- 882 keyword "Digital libraries".
- 882 keyword "Information Extraction, Information Retrieval".
- 882 keyword "Ontologies".
- 882 title "Automated Subject Induction from Query Keywords through Wikipedia Categories and Subject Headings".
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- 884 creator albert-rilliard.
- 884 creator geza-nemeth.
- 884 creator janos-szabo.
- 884 creator mark-fek.
- 884 creator nicolas-audibert.
- 884 creator veronique-auberge.
- 884 type InProceedings.
- 884 label "Multimodal Spontaneous Expressive Speech Corpus for Hungarian".
- 884 sameAs 884.
- 884 abstract "A Hungarian multimodal spontaneous expressive speech corpus was recorded following the methodology of a similar French corpus. The method relied on a Wizard of Oz scenario-based induction of varying affective states. The subjects were interacting with a supposedly voice-recognition driven computer application using simple command words. Audio and video signals were captured for the 7 recorded subjects. After the experiment, the subjects watched the video recording of their session and labelled the recorded corpus themselves, freely describing the evolution of their affective states. The obtained labels were later classified into one of the following broad emotional categories: satisfaction, dislike, stress, or other. A listening test was performed by 25 naïve listeners in order to validate the category labels originating from the self-labelling. For 52 of the 149 stimuli, listeners judgements of the emotional content were in agreement with the labels. The result of the listening test was compared with an earlier test validating a part of the French corpus. While the French test had a higher success ratio, validating the labels of 79 tested stimuli, out of the 193, the stimuli validated by the two tests can form the basis of cross linguistic comparison experiments.".
- 884 hasAuthorList authorList.
- 884 hasTopic Linguistics.
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- 884 keyword "Corpus (creation, annotation, etc.)".
- 884 keyword "Emotions".
- 884 keyword "Speech resource/database".