语态丰富的语言数字词典编纂中的低垂果实和博亚斯三部曲

E. Pankratz, Antti Arppe, Jordan Lachler
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引用次数: 0

摘要

加拿大土著语言的词法丰富,其在线词典资源使用了多种策略来传达其语言的词法系统,即单词的屈折变化和衍生方式。本文通过对17种双语在线资源的调查来说明这一点。这些资源使用的策略可以归结为资源底层结构的两种基本方法:1)词法数据库,或2)计算模型。我们调查的大多数资源都是围绕词法数据库构建的。它们以词(形式)为基本单位,这种假设使得很难将语言的子词、形态结构完整地结合起来。然而,有一种资源使用计算形态学模型将语言的形态学纳入词典的核心——正如Trond Trosterud所倡导的那样,在合理的时间框架内完成的语言技术应用中,这被证明是“容易实现的目标”。我们讨论了这种方法所创造的价值和提出的问题,并认为它成功地克服了传统的博亚式的词典、语法和文本三位一体的分割,创造了满足资源匮乏的濒危语言及其社区的现代需求的综合语言资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low hanging fruit and the Boasian trilogy in digital lexicography of morphologically rich languages
Online lexicographical resources for the morphologically rich Indigenous languages in Canada use a wide range of strategies for conveying their language’s morphological system, i.e. how words are inflected and derived, which this paper illustrates in a survey of seventeen bilingual online resources. The strategies these resources employ boil down to two basic approaches to the underlying structure of the resource: 1) a lexical database, or 2) a computational model. Most resources we surveyed are constructed around lexical databases. These assume the word(form) as the basic unit, an assumption that makes it difficult to incorporate the language’s sub-word, morphological structure in full detail. However, one resource uses a computational morphological model to bring the language’s morphology into the core of the lexicon – this proved to be a “low-hanging fruit” in the application of language technology that had been accomplished within a reasonable time-frame, as has been advocated by Trond Trosterud. We discuss the value created and questions raised by this approach and argue that it successfully overcomes the traditional Boasian three-way partition of dictionary, grammar, and text, creating integrated language resources that meet the modern needs of low-resource endangered languages and their communities.
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