伊利诺伊大学提交给SIGMORPHON 2020共享任务0:类型学上多样的形态变化

Marc E. Canby, A. Karipbayeva, B. Lunt, Sahand Mozaffari, Charlotte Yoder, J. Hockenmaier
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引用次数: 4

摘要

这个共享任务的目标是生成一个单词的屈折形式,给定它的引理和一组描述所需形式属性的标签。在本文中,我们描述了一个基于变压器的模型,该模型使用双向解码器来执行该任务,并评估了该任务中使用的90种语言和18种语言族的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
The objective of this shared task is to produce an inflected form of a word, given its lemma and a set of tags describing the attributes of the desired form. In this paper, we describe a transformer-based model that uses a bidirectional decoder to perform this task, and evaluate its performance on the 90 languages and 18 language families used in this task.
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