Reliable Lexical Simplification for Non-Native Speakers
Reliable Lexical Simplification for Non-Native Speakers
复制标题
为非母语人士提供可靠的词汇简化
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Gustavo Paetzold
中科院分区：
文献类型：
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作者：
Gustavo Paetzold
词汇简化是修改复杂句子的词汇内容以使其更简单的任务。由于缺乏可靠的资源可用于该任务，大多数现有的方法有困难产生的简化，这是语法和保留原始文本的含义。为了改进这项任务的最新技术，我们提出了对非母语人士的用户研究，这将产生新的、大规模的数据集，以及执行词汇简化的新方法。我们的第一个实验的结果表明，新类型的分类器，沿着使用额外的资源，如口语文本语言模型，产生的SemEval-2012的词汇简化任务的最先进的结果。
Lexical Simplification is the task of modifying the lexical content of complex sentences in order to make them simpler. Due to the lack of reliable resources available for the task, most existing approaches have difficulties producing simplifications which are grammatical and that preserve the meaning of the original text. In order to improve on the state-of-the-art of this task, we propose user studies with nonnative speakers, which will result in new, sizeable datasets, as well as novel ways of performing Lexical Simplification. The results of our first experiments show that new types of classifiers, along with the use of additional resources such as spoken text language models, produce the state-of-the-art results for the Lexical Simplification task of SemEval-2012.