Parameterizing and Eliciting Text Elements across Languages for Use in Natural Language Processing Systems

McShane, Marjorie; Ниренбург, Сергей

doi:10.1023/b:coat.0000021002.59161.82

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…The Expedition project (Sheremetyeva and Nirenburg 2000;McShane and Nirenburg 2003) targeted the task of developing resources to support machine translation into English, on the basis of native speaker input. The intended user of the system was bilingual and literate in English and some source language, with approximately 6 months to spend learning to use the system and providing it with linguistic information.…”

Section: Automatic Elicitationmentioning

confidence: 99%

Grammar Customization

Bender

Drellishak

Fokkens

et al. 2010

Res on Lang and Comput

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This paper presents the LinGO Grammar Matrix grammar customization system, a web-based service which elicits typological descriptions of languages and outputs customized grammar fragments which are ready for sustained development into broad-coverage grammars. We describe the infrastructure we have developed to support grammar customization as well as the current set of linguistic phenomena addressed, reflect on what we have learned about a methodology for this style of multilingual grammar engineering, and evaluate the typological breadth of the system by using it to create grammars for seven languages from seven different language families.

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Section: Automatic Elicitationmentioning

confidence: 99%

Grammar Customization

Bender

Drellishak

Fokkens

et al. 2010

Res on Lang and Comput

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Mood and modality: out of theory and into the fray

2004

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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.

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