title: A User-Oriented Approach to Scheduling Collection Building in Greenstone

authors: Osborn, Wendy

subjects: computer science

abstract: We propose a user-oriented approach for the automated and scheduled maintenance of Greenstone digital library collections. Existing systems require the user either to add new data manually to a collection, or to have programming knowledge in order to use existing application programming interfaces (APIs) in order to automate scheduled collection updates. The Greenstone Scheduler can automate the construction of any existing collection, and schedule the construction to occur periodically. This is accomplished through incorporating a module specific to this purpose into the Greenstone Librarian Interface.

text: A User-Oriented Approach to Scheduling Collection Building in Greenstone We propose a user-oriented approach for the automated and scheduled maintenance of Greenstone digital library collections. Existing systems require the user either to add new data manually to a collection, or to have programming knowledge in order to use existing application programming interfaces (APIs) in order to automate scheduled collection updates. The Greenstone Scheduler can automate the construction of any existing collection, and schedule the construction to occur periodically. This is accomplished through incorporating a module specific to this purpose into the Greenstone Librarian Interface.

year: 2008

title: Necessary non-apodicity: Hermeneutic priority and textual authority in Christian-Muslim dialogue

authors: Pratt, Douglas

subjects: Christian

abstract: This article seeks to explore something of the significance of the notion of necessary non-apodicity as a leitmotif for the reading of sacred text in the context of Christian-Muslim dialogical engagement. Far from being a contentious challenge to received traditions of the status and reception of our respective scriptures, it contends that the notion of an inherent requirement to apply hermeneutic tools and approaches to sacred text is a mark of the mode of divine revelation as such. The absolute word of God was and is spoken into and through multifarious concrete contexts; the apprehension of the divine message throughout changing contexts and differing situations is thus intended to invite interpretive engagement necessarily. Or, put otherwise, the hermeneutical task that necessarily applies to the reading of scripture suggests that the sacred text of divine revelation is marked by necessary non-apodicity. In exploring this idea further, the article addresses some general issues of Christian and Muslim perspectives on sacred text then turns to an examination of the 2007 letter, 'A Common Word', from Muslims to Christians that seeks a renewed emphasis on dialogue.

text: Necessary non-apodicity: Hermeneutic priority and textual authority in Christian-Muslim dialogue This article seeks to explore something of the significance of the notion of necessary non-apodicity as a leitmotif for the reading of sacred text in the context of Christian-Muslim dialogical engagement. Far from being a contentious challenge to received traditions of the status and reception of our respective scriptures, it contends that the notion of an inherent requirement to apply hermeneutic tools and approaches to sacred text is a mark of the mode of divine revelation as such. The absolute word of God was and is spoken into and through multifarious concrete contexts; the apprehension of the divine message throughout changing contexts and differing situations is thus intended to invite interpretive engagement necessarily. Or, put otherwise, the hermeneutical task that necessarily applies to the reading of scripture suggests that the sacred text of divine revelation is marked by necessary non-apodicity. In exploring this idea further, the article addresses some general issues of Christian and Muslim perspectives on sacred text then turns to an examination of the 2007 letter, 'A Common Word', from Muslims to Christians that seeks a renewed emphasis on dialogue.

year: 2009

title: Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language

authors: Cocks, John

subjects: Māori

abstract: This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in interest as a consequence of the increasing availability of manually annotated training data in major languages such as English and French. However, these approaches are not practical for most minority languages, where appropriate training data is either non-existent or not publically available. Furthermore, before developing a part-of-speech tagging system, a suitable tagset is required for that language. In this thesis, we make the following contributions to bridge this gap:

Firstly, we propose a method for diacritic restoration based on naive Bayes classifiers that act at word-level. Classifications are based on a rich set of features, extracted automatically from training data in the form of diacritically marked text. This method requires no additional resources, which makes it language independent. The algorithm was evaluated on one language, namely Māori, and an accuracy exceeding 99% was observed.

Secondly, we present our work on creating one of the necessary resources for the development of a part-of-speech tagging system in Māori, that of a suitable tagset. The tagset described was developed in accordance with the EAGLES guidelines for morphosyntactic annotation of corpora, and was the result of in-depth analysis of the Māori grammar.

text: Diacritic Restoration and the Development of a Part-of-Speech Tagset for the Māori Language This thesis investigates two fundamental problems in natural language processing: diacritic restoration and part-of-speech tagging. Over the past three decades, statistical approaches to diacritic restoration and part-of-speech tagging have grown in interest as a consequence of the increasing availability of manually annotated training data in major languages such as English and French. However, these approaches are not practical for most minority languages, where appropriate training data is either non-existent or not publically available. Furthermore, before developing a part-of-speech tagging system, a suitable tagset is required for that language. In this thesis, we make the following contributions to bridge this gap:

Firstly, we propose a method for diacritic restoration based on naive Bayes classifiers that act at word-level. Classifications are based on a rich set of features, extracted automatically from training data in the form of diacritically marked text. This method requires no additional resources, which makes it language independent. The algorithm was evaluated on one language, namely Māori, and an accuracy exceeding 99% was observed.

Secondly, we present our work on creating one of the necessary resources for the development of a part-of-speech tagging system in Māori, that of a suitable tagset. The tagset described was developed in accordance with the EAGLES guidelines for morphosyntactic annotation of corpora, and was the result of in-depth analysis of the Māori grammar.

year: 2012