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首页> 外文会议>Workshop on Resourcesfor African Indigenous Languages;Language Resources and Evaluation Conference >Navigating Challenges of Multilingual Resource Development for Under-Resourced Languages: The Case of the African Wordnet Project
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Navigating Challenges of Multilingual Resource Development for Under-Resourced Languages: The Case of the African Wordnet Project

机译：资源匮乏语言的多语言资源开发面临的挑战：以非洲Wordnet项目为例

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Creating a new wordnet is by no means a trivial task and when the target language is under-resourced as is the case for the languages currently included in the multilingual African Wordnet (AfWN), developers need to rely heavily on human expertise. During the different phases of development of the AfWN, we incorporated various methods of fast-tracking to ease the tedious and time-consuming work. Some methods have proven effective while others seem to have little positive impact on the work rate. As in the case of many other under-resourced languages, the expand model was implemented throughout, thus depending on English source data such as the English Princeton Wordnet (PWN) which is then translated into the target language with the assumption that the new language shares an underlying structure with the PWN. The paper discusses some problems encountered along the way and points out various possibilities of (semi) automated quality assurance measures and further refinement of the AfWN to ensure accelerated growth. In this paper we aim to highlight some of the lessons learnt from hands-on experience in order to facilitate similar projects, in particular for languages from other African countries.
机译：创建一个新的词网绝非易事，当目标语言资源匮乏时（如当前包含在多语言非洲词网（AfWN）中的语言的情况那样），开发人员需要严重依赖于人类的专业知识。在AfWN开发的不同阶段，我们采用了多种快速跟踪方法，以减轻繁琐而耗时的工作。一些方法被证明是有效的，而另一些方法似乎对工作率几乎没有积极影响。与其他许多资源匮乏的语言一样，扩展模型在整个过程中都得到了实施，因此取决于英语源数据，例如英语普林斯顿词网（PWN），然后在假定新语言共享的情况下将其翻译成目标语言PWN的基础结构。本文讨论了在此过程中遇到的一些问题，并指出了（半）自动化质量保证措施以及进一步完善AfWN以确保加速增长的各种可能性。在本文中，我们旨在突出一些从实践经验中学到的经验教训，以促进类似的项目，特别是针对其他非洲国家的语言。

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