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arXiv 2005.12411cs.CLcs.LG
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The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

Institute for Natural Language Processing(自然语言处理研究所);University of Stuttgart(斯图加特大学);University of Colorado Boulder(科罗拉多大学博尔德分校)

Manuel Mager, Katharina Kann

英文摘要:

In this paper, we present the systems of the University of Stuttgart IMS and the University of Colorado Boulder (IMS-CUBoulder) for SIGMORPHON 2020 Task 2 on unsupervised morphological paradigm completion (Kann et al., 2020). The task consists of generating the morphological paradigms of a set of lemmas, given only the lemmas themselves and unlabeled text. Our proposed system is a modified version of the baseline introduced together with the task. In particular, we experiment with substituting the inflection generation component with an LSTM sequence-to-sequence model and an LSTM pointer-generator network. Our pointer-generator system obtains the best score of all seven submitted systems on average over all languages, and outperforms the official baseline, which was best overall, on Bulgarian and Kannada.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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