利用跨语言相似性减少资源不足语言的语法开发努力:以肯尼亚班图语为例

Benson Kituku, Wanjiku Nganga, Lawrence Muchemi
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引用次数: 1

摘要

基于规则的语法开发在时间和知识需求方面是劳动密集型的,特别是对于复杂的形态学和资源不足的语言。尽管如此,深度自然语言处理、生成格式良好的输出或两者都需要这些语法。为了解决这一挑战,本文试图利用语法工程策略:语法移植和语法共享,在语法框架(GF)中为肯尼亚班图语的一个子集开发共享的多语言广泛覆盖语法。共享语法是使用形态驱动的方法开发的,其中首先定义词汇,然后定义屈折变化正则表达式,最后定义语法生成规则。所得到的同余Bantu参数化语法在类别线性化、参数、范式和语法规则方面的共享性分别为100%、68.75%、65.3%和89.57%,在范式、参数加语法规则方面的可移植性(修改性)分别为14.29%、18.75%和10.43%。研究得出结论,利用原则和参数的跨语言相似性大大减少了多语言语法的开发工作量,并通过开发班图参数化语法做出了贡献,这表明在数据稀缺的语言中,开发规则库的工作量大大减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging on Cross Linguistic Similarities to Reduce Grammar Development Effort for the Under-Resourced Languages: a Case of Kenyan Bantu Languages
Rule-based grammar development is labor-intensive in terms of time and knowledge requirements, especially for complex morphology and under-resourced languages. Notwithstanding, these grammars are needed for deep natural language processing, generation of well-formed output, or both. To address the challenge, this paper seeks to develop shared multilingual wide-coverage grammar for a subset of Kenyan Bantu languages in Grammatical Framework (GF) by leveraging on cross linguistic similarities using the grammar engineering strategies: grammar porting and grammar sharing. The shared grammar was developed using the morphology-driven approach, where the lexicons are defined first, followed by inflection regular expression and finally the syntax production rules. The resulting congruent Bantu parameterized grammar had shareability for category linearizations, parameters, paradigms, and syntax rules of 100%, 68.75%, 65.3% and 89.57%, respectively, while portability (modification) was exhibited in paradigms, parameter plus syntax rules at 14.29%, 18.75% and 10.43% respectively. The research concludes leveraging on the cross-linguistic similarities of principles and parameters significantly reduces multilingual grammar's development effort and contributes by developing the Bantu parametrized grammar which demonstrates how the effort of developing the rule base has been significantly reduced in languages where data is a scarce commodity.
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