Inflection Generation as Discriminative String Transduction
Inflection Generation as Discriminative String Transduction
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DOI：
10.3115/v1/n15-1093
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Garrett Nicolai;Colin Cherry;Grzegorz Kondrak
中科院分区：
文献类型：
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作者：
Garrett Nicolai;Colin Cherry;Grzegorz Kondrak
我们的任务的形态拐点产生歧视性字符串转导。我们的监督系统学习从伴随着形态标签的词元中生成单词形式，并通过引用范式中的其他形式来改进它们。六种不同的语言与不同数量的训练数据的实验结果表明，我们的方法提高了最先进的预测变形词的形式。
We approach the task of morphological inflection generation as discriminative string transduction. Our supervised system learns to generate word-forms from lemmas accompanied by morphological tags, and refines them by referring to the other forms within a paradigm. Results of experiments on six diverse languages with varying amounts of training data demonstrate that our approach improves the state of the art in terms of predicting inflected word-forms.