58,898 research outputs found

    The Segment Ontology: Bridging Music-generic and Domain-specific

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    Existing semantic representations of music analysis encapsulate narrow sub-domain concepts and are frequently scoped by the context of a particular MIR task. Segmentation is a crucial abstraction in the investigation of phenomena which unfold over time; we present a Segment Ontology as the backbone of an approach that models properties from the musicological domain independently from MIR implementations and their signal processing foundations, whilst maintaining an accurate and complete description of the relationships that link them. This framework provides two principal advantages which are explored through several examples: a layered separation of concerns that aligns the model with the needs of the users and systems that consume and produce the data; and the ability to link multiple analyses of differing types through transforms to and from the Segment axis

    Integration in Specialisation. The GENTT Research Group: Genre as an Integrative Concept in Translation Studies

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    The interdisciplinary and complexity of translation have led to a diversity of co-existing approaches in Translation Studies. Translation can be studied from a range of perspectives, and every approach tends to focus on a limited number of aspects. In the area of specialised translation, the integrative nature of translation is frequently neglected, which may lead to overly narrow analyses. In this paper, it is shown how the concept of ‘genre’ incorporates a wider range of the defining aspects of translation. The use of genre as a core element makes it possible to combine linguistic, textual, communicative and cognitive aspects as part of a more comprehensive study of specialised translation. In practical terms, this integrative approach is reflected in the GENTT knowledge management system (covering linguistic, textual and communicative aspects) and in the cognitive mapping within three fields of specialism (legal, medical and technical) that the research group is developing

    Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

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    Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as current sensory devices are developed with ever higher resolution, and problems involving multimodal data sources become more common. A plethora of feature extraction methods are available in the literature collectively grouped under the field of Multivariate Analysis (MVA). This paper provides a uniform treatment of several methods: Principal Component Analysis (PCA), Partial Least Squares (PLS), Canonical Correlation Analysis (CCA) and Orthonormalized PLS (OPLS), as well as their non-linear extensions derived by means of the theory of reproducing kernel Hilbert spaces. We also review their connections to other methods for classification and statistical dependence estimation, and introduce some recent developments to deal with the extreme cases of large-scale and low-sized problems. To illustrate the wide applicability of these methods in both classification and regression problems, we analyze their performance in a benchmark of publicly available data sets, and pay special attention to specific real applications involving audio processing for music genre prediction and hyperspectral satellite images for Earth and climate monitoring

    Accessing the content of nineteenth-century periodicals: the Science in the Nineteenth-Century Periodical project

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    Nineteenth-century periodicals significantly outnumber books from that era, and present historians with an immensely valuable set of sources, but their use is constrained by the difficulty of identifying relevant material. For many periodicals, contents pages and volume indexes have been the only guide, and the few subject indexes that exist usually provide only an indication of the subjects mentioned in the article titles. By contrast, the Science in the Nineteenth-Century Periodical project (SciPer) indexed the science content of general-interest periodicals by skim-reading the entire text. The project’s approach to indexing is described and the relative merits of indexing and digitization in aiding researchers to locate relevant material are discussed. The article concludes that, notwithstanding the more sophisticated search interfaces of more recent retrodigitization projects, human indexing still has an important role to play in providing access to the content of historic periodicals and in mapping their data structure

    Action

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    This essay describes two different phenomena: action games, understood as a genre of games in which the player’s sensori-motor skills prevail over his cognitive activity, and a general theory of action-taking in context of the game-playing practice. Through a short history of the main genres and sub-genres traditionally identified with “Action games”, and the conclusion that such a categorization pertains to a mode of action rather than a given genre, the properties of action games are identified as involving a standardized repertoire of actions, emphasis on sensori-motor skills, and short-term action sequences

    An automatic part-of-speech tagger for Middle Low German

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    Syntactically annotated corpora are highly important for enabling large-scale diachronic and diatopic language research. Such corpora have recently been developed for a variety of historical languages, or are still under development. One of those under development is the fully tagged and parsed Corpus of Historical Low German (CHLG), which is aimed at facilitating research into the highly under-researched diachronic syntax of Low German. The present paper reports on a crucial step in creating the corpus, viz. the creation of a part-of-speech tagger for Middle Low German (MLG). Having been transmitted in several non-standardised written varieties, MLG poses a challenge to standard POS taggers, which usually rely on normalized spelling. We outline the major issues faced in the creation of the tagger and present our solutions to them
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