RALS：罗马尼亚语自动词汇简化的资源与基线

中文摘要 AI 辅助

我们介绍了首个同时涵盖罗马尼亚语词汇复杂度预测（LCP）注释和词汇简化（LS）的数据集，并对词汇简化方法进行了比较。我们提出一种使用成对排序近似方法对简化建议进行排序的方法，根据一组单独的人工判断将候选词从简单到复杂排列。此外，我们为3921个上下文单词样本提供了人工词汇复杂度注释。最后，我们探索了几种用于复杂度预测和简化的新颖管道，并展示了首个罗马尼亚语文本简化系统。

英文摘要

We introduce the first dataset that jointly covers both lexical complexity prediction (LCP) annotations and lexical simplification (LS) for Romanian, along with a comparison of lexical simplification approaches. We propose a methodology for ordering simplification suggestions using a pairwise ranking approximation method, arranging candidates from simple to complex based on a separate set of human judgments. In addition, we provide human lexical complexity annotations for 3,921 word samples in context. Finally, we explore several novel pipelines for complexity prediction and simplification and present the first text simplification system for Romanian.

发表机构

• University of Bucharest（布加勒斯特大学）
• Human Language Technologies Research Center（人类语言技术研究中心）
• Faculty of Mathematics and Computer Science（数学与计算机科学学院）

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