Translation-Based Dictionary Alignment for Under-Resourced Bantu Languages

Thomas Eckart, Sonja E. Bosch, Dirk Goldhahn, U. Quasthoff, B. Klimek
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引用次数: 3

Abstract

Despite a large number of active speakers, most Bantu languages can be considered as underor lessresourced languages. This includes especially the current situation of lexicographical data, which is highly unsatisfactory concerning the size, quality and consistency in format and provided information. Unfortunately, this does not only hold for the amount and quality of data for monolingual dictionaries, but also for their lack of interconnection to form a network of dictionaries. Current endeavours to promote the use of Bantu languages in primary and secondary education in countries like South Africa show the urgent need for high-quality digital dictionaries. This contribution describes a prototypical implementation for aligning Xhosa, Zimbabwean Ndebele and Kalanga language dictionaries based on their English translations using simple string matching techniques and via WordNet URIs. The RDF-based representation of the data using the Bantu Language Model (BLM) and – partial – references to the established WordNet dataset supported this process significantly. 2012 ACM Subject Classification Information systems → Resource Description Framework (RDF); Computing methodologies → Phonology / morphology; Information systems → Dictionaries
资源不足的班图语基于翻译的字典对齐
尽管有大量的活跃使用者,大多数班图语可以被认为是资源不足或资源较少的语言。这尤其包括词典编纂数据的现状,这些数据在规模、质量和格式和所提供信息的一致性方面非常不令人满意。不幸的是,这不仅影响了单语词典的数据量和质量,而且还影响了它们之间缺乏相互联系,无法形成一个词典网络。目前在南非等国促进在中小学教育中使用班图语的努力表明,迫切需要高质量的数字词典。这篇文章描述了一个原型实现,它使用简单的字符串匹配技术,通过WordNet uri,根据科萨语、津巴布韦恩德贝莱语和卡兰加语的英语翻译对它们进行对齐。使用班图语言模型(BLM)和部分引用已建立的WordNet数据集的基于rdf的数据表示极大地支持了这一过程。2012 ACM主题分类信息系统→资源描述框架(RDF);计算方法→音系/形态学;信息系统→词典
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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