3,903 research outputs found

    Improving Statistical Language Model Performance with Automatically Generated Word Hierarchies

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    An automatic word classification system has been designed which processes word unigram and bigram frequency statistics extracted from a corpus of natural language utterances. The system implements a binary top-down form of word clustering which employs an average class mutual information metric. Resulting classifications are hierarchical, allowing variable class granularity. Words are represented as structural tags --- unique nn-bit numbers the most significant bit-patterns of which incorporate class information. Access to a structural tag immediately provides access to all classification levels for the corresponding word. The classification system has successfully revealed some of the structure of English, from the phonemic to the semantic level. The system has been compared --- directly and indirectly --- with other recent word classification systems. Class based interpolated language models have been constructed to exploit the extra information supplied by the classifications and some experiments have shown that the new models improve model performance.Comment: 17 Page Paper. Self-extracting PostScript Fil

    Physical and Chemical Controls on Habitats for Life in the Deep Subsurface Beneath Continents and Ice

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    S.M. was funded by an STFC Aurora studentship (grant ST/1506102/1) and the NASA Astrobiology Institute Program on Foundations of Complex Life, Evolution, Preservation and Detection on Earth and Beyond (grant NNA13AA90A). J.P. was supported by NERC grant NE/G00322X/l.Peer reviewedPublisher PD

    Sampling methane in basalt on Earth and Mars

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    Evidence for Seismogenic Hydrogen Gas, a Potential Microbial Energy Source on Earth and Mars

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    M thanks the STFC for a PhD studentship and the NASA Astrobiology Institute for additional funding (NNAI13AA90A; Foundations of Complex Life, Evolution, Preservation and Detection on Earth and Beyond). Alison Wright, Roger Gibson and Edward Lynch are thanked for contributing samples. We thank three anonymous reviewers for their insightful comments.Peer reviewedPostprin

    Circumstellar habitable zones for deep terrestrial biospheres

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    SM and JOJ are grateful to the UK Science and Technology Facilities Council (STFC) for Aurora Studentships. We thank Dr. Stephen Clifford (LPI), Dr. Ravi Kopparapu (Penn State), and Claire Davis (St. Andrews) for generous technical advice. We thank Norm Sleep and two anonymous reviewers for constructive reviews of the manuscriptPeer reviewedPostprin

    LOCAL GOVERNMENT Community Greenspace Preservation: Create the Georgia Greenspace Commission: Establish the Georgia Greenspace Trust Fund

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    By adding several sections to the Georgia Code relating to local government, the Act creates the Georgia Greenspace Commission and provides for its membership, powers and duties, and operations. The Act provides a flexible framework of policies, rules, and regulations through which Georgia\u27s populous and rapidly growing cities and counties can voluntarily develop programs to preserve community green space for recreational activities and protection of natural resources. The Act also creates the Georgia Greenspace Trust Fund, provides guidelines for appropriations and contributions to the fund, and defines how grants will be disbursed to local governments for preservation of greenspace
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