621 research outputs found

    Adapting a general parser to a sublanguage

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    In this paper, we propose a method to adapt a general parser (Link Parser) to sublanguages, focusing on the parsing of texts in biology. Our main proposal is the use of terminology (identication and analysis of terms) in order to reduce the complexity of the text to be parsed. Several other strategies are explored and finally combined among which text normalization, lexicon and morpho-guessing module extensions and grammar rules adaptation. We compare the parsing results before and after these adaptations

    Memory-Based Shallow Parsing

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    We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as memory-based modules. The experiments reported in this paper show competitive results, the F-value for the Wall Street Journal (WSJ) treebank is: 93.8% for NP chunking, 94.7% for VP chunking, 77.1% for subject detection and 79.0% for object detection.Comment: 8 pages, to appear in: Proceedings of the EACL'99 workshop on Computational Natural Language Learning (CoNLL-99), Bergen, Norway, June 199

    Subsumption algorithms for concept languages

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    We investigate the subsumption problem in logic-based knowledge representation languages of the KL-ONE family and give decision procedures. All our languages contain as a kernel the logical connectives conjunction, disjunction, and negation for concepts, as well as role quantification. The algorithms are rule-based and can be understood as variants of tableaux calculus with a special control strategy. In the first part of the paper, we add number restrictions and conjunction of roles to the kernel language. We show that subsumption in this language is decidable, and we investigate sublanguages for which the problem of deciding subsumption is PSPACE-complete. In the second part, we amalgamate the kernel language with feature descriptions as used in computational linguistics. We show that feature descriptions do not increase the complexity of the subsumption problem

    The fourth V, as in evolution: How evolutionary linguistics can contribute to data science

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    The paper explores the importance of closer interaction between data science and evolutionary linguistics, pointing to the potential benefits for both disciplines. In the context of big data, the microblogging social networking service – Twitter – can be treated as a source of empirical input for analyses in the field of language evolution. In an attempt to utilize this kind of disciplinary interplay, I propose a model, which constitutes an adaptation of the Iterated Learning framework, for investigating the glossogenetic evolution of sublanguages.

    Easy and plain languages as special cases of linguistic tailoring and standard language varieties

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    This article aims to introduce new insights to further the understanding of easy language (EL) and plain language (PL) as examples of tailored language and place them within a broader context of linguistic varieties. We examine EL and PL in relation to standard language, and we consider the degree of conscious effort required in tailoring and the compliance with the codified norms of standard language. Both EL and PL are used in asymmetric communication: PL to mediate between specialists and the general public and EL in communication with people with language barriers. We argue that while these varieties have similar purposes and methods, they also have significant differences; for example, the tailoring moves in opposite directions, as PL seeks general comprehensibility and EL aims to reach special and vulnerable groups. The differences between PL and EL are primarily linked to social prestige and the potential risk of stigma related to their use.Peer reviewe

    Confessions of a live coder

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    This paper describes the process involved when a live coder decides to learn a new musical programming language of another paradigm. The paper introduces the problems of running comparative experiments, or user studies, within the field of live coding. It suggests that an autoethnographic account of the process can be helpful for understanding the technological conditioning of contemporary musical tools. The author is conducting a larger research project on this theme: the part presented in this paper describes the adoption of a new musical programming environment, Impromptu, and how this affects the author’s musical practice

    Governance and Business Communication

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    The author starts exploring the field by investigating the corporate websites and blogs of the leading US companies - the paper explores the language of the corporate governance, leadership, internal and external specifics of the corporate communication. The paper argues that all companies can be classified into 4 discursive types identified by the author on the basis of the four types of social implications in their discursive rhetori

    Supervisory Control of Fuzzy Discrete Event Systems

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    In order to cope with situations in which a plant's dynamics are not precisely known, we consider the problem of supervisory control for a class of discrete event systems modelled by fuzzy automata. The behavior of such discrete event systems is described by fuzzy languages; the supervisors are event feedback and can disable only controllable events with any degree. The concept of discrete event system controllability is thus extended by incorporating fuzziness. In this new sense, we present a necessary and sufficient condition for a fuzzy language to be controllable. We also study the supremal controllable fuzzy sublanguage and the infimal controllable fuzzy superlanguage when a given pre-specified desired fuzzy language is uncontrollable. Our framework generalizes that of Ramadge-Wonham and reduces to Ramadge-Wonham framework when membership grades in all fuzzy languages must be either 0 or 1. The theoretical development is accompanied by illustrative numerical examples.Comment: 12 pages, 2 figure
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