42,901 research outputs found

    The Perfective Past Tense in Greek Child Language

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    Distributional Sentence Entailment Using Density Matrices

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    Categorical compositional distributional model of Coecke et al. (2010) suggests a way to combine grammatical composition of the formal, type logical models with the corpus based, empirical word representations of distributional semantics. This paper contributes to the project by expanding the model to also capture entailment relations. This is achieved by extending the representations of words from points in meaning space to density operators, which are probability distributions on the subspaces of the space. A symmetric measure of similarity and an asymmetric measure of entailment is defined, where lexical entailment is measured using von Neumann entropy, the quantum variant of Kullback-Leibler divergence. Lexical entailment, combined with the composition map on word representations, provides a method to obtain entailment relations on the level of sentences. Truth theoretic and corpus-based examples are provided.Comment: 11 page

    Linguistic and metalinguistic categories in second language learning

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    This paper discusses proposed characteristics of implicit linguistic and explicit metalinguistic knowledge representations as well as the properties of implicit and explicit processes believed to operate on these representations. In accordance with assumptions made in the usage-based approach to language and language acquisition, it is assumed that implicit linguistic knowledge is represented in terms of flexible and context-dependent categories which are subject to similarity-based processing. It is suggested that, by contrast, explicit metalinguistic knowledge is characterized by stable and discrete Aristotelian categories which subserve conscious, rule-based processing. The consequences of these differences in category structure and processing mechanisms for the usefulness or otherwise of metalinguistic knowledge in second language learning and performance are explored. Reference is made to existing empirical and theoretical research about the role of metalinguistic knowledge in second language acquisition, and specific empirical predictions arising out of the line of argument adopted in the current paper are put forward. © Walter de Gruyter 2008

    A literature survey of methods for analysis of subjective language

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    Subjective language is used to express attitudes and opinions towards things, ideas and people. While content and topic centred natural language processing is now part of everyday life, analysis of subjective aspects of natural language have until recently been largely neglected by the research community. The explosive growth of personal blogs, consumer opinion sites and social network applications in the last years, have however created increased interest in subjective language analysis. This paper provides an overview of recent research conducted in the area

    Improving the translation environment for professional translators

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    When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project

    Thick Concepts and Variability

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    Some philosophers hold that so-called "thick" terms and concepts in ethics (such as 'cruel,' 'selfish,' 'courageous,' and 'generous') are contextually variable with respect to the valence (positive or negative) of the evaluations that they may be used to convey. Some of these philosophers use this variability claim to argue that thick terms and concepts are not inherently evaluative in meaning; rather their use conveys evaluations as a broadly pragmatic matter. I argue that one sort of putative examples of contextual variability in evaluative valence that are found in the literature fail to support the variability claim and that another sort of putative examples are open to a wide range of explanations that have different implications for the relationship between thick terms and concepts and evaluation. I conclude that considerations of contextual variability fail to settle whether thick terms and concepts are inherently evaluative in meaning. In closing I suggest a more promising line of research
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