International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
MOLE: a tenacious knowledge-acquisition tool
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Use of a domain model to drive an interactive knowledge-editing tool
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Inheritance and constraint-based grammar formalisms
Computational Linguistics - Special issue on inheritance: I
An integrated environment for knowledge acquisition
Proceedings of the 6th international conference on Intelligent user interfaces
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IEEE Transactions on Knowledge and Data Engineering
Automatic Rule Learning for Resource-Limited MT
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Bootstrapping morphological analyzers by combining human elicitation and machine learning
Computational Linguistics
Rapid development of translation tools: application to Persian and Turkish
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A modular toolkit for machine translation based on layered charts
Proceedings of the COLING-2000 Workshop on Using Toolsets and Architectures To Build NLP Systems
A core ontology for requirements
Applied Ontology
Modality and negation in simt use of modality and negation in semantically-informed syntactic mt
Computational Linguistics
Statistical modality tagging from rule-based annotations and crowdsourcing
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
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The topic of mood and modality (MOD) is a difficult aspect of language description because, among other reasons, the inventory of modal meanings is not stable across languages, moods do not map neatly from one language to another, modality may be realised morphologically or by free-standing words, and modality interacts in complex ways with other modules of the grammar, like tense and aspect. Describing MOD is especially difficult if one attempts to develop a unified approach that not only provides cross-linguistic coverage, but is also useful in practical natural language processing systems. This article discusses an approach to MOD that was developed for and implemented in the Boas Knowledge-Elicitation (KE) system. Boas elicits knowledge about any language, L, from an informant who need not be a trained linguist. That knowledge then serves as the static resources for an L-to-English translation system. The KE methodology used throughout Boas is driven by a resident inventory of parameters, value sets, and means of their realisation for a wide range of language phenomena. MOD is one of those parameters, whose values are the inventory of attested and not yet attested moods (e.g. indicative, conditional, imperative), and whose realisations include flective morphology, agglutinating morphology, isolating morphology, words, phrases and constructions. Developing the MOD elicitation procedures for Boas amounted to wedding the extensive theoretical and descriptive research on MOD with practical approaches to guiding an untrained informant through this non-trivial task. We believe that our experience in building the MOD module of Boas offers insights not only into cross-linguistic aspects of MOD that have not previously been detailed in the natural language processing literature, but also into KE methodologies that could be applied more broadly.