@inproceedings{cotterell-heigold-2017-cross,
title = "Cross-lingual Character-Level Neural Morphological Tagging",
author = "Cotterell, Ryan and
Heigold, Georg",
editor = "Palmer, Martha and
Hwa, Rebecca and
Riedel, Sebastian",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-1078",
doi = "10.18653/v1/D17-1078",
pages = "748--759",
abstract = "Even for common NLP tasks, sufficient supervision is not available in many languages {--} morphological tagging is no exception. In the work presented here, we explore a transfer learning scheme, whereby we train character-level recurrent neural taggers to predict morphological taggings for high-resource languages and low-resource languages together. Learning joint character representations among multiple related languages successfully enables knowledge transfer from the high-resource languages to the low-resource ones.",
}
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%0 Conference Proceedings
%T Cross-lingual Character-Level Neural Morphological Tagging
%A Cotterell, Ryan
%A Heigold, Georg
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F cotterell-heigold-2017-cross
%X Even for common NLP tasks, sufficient supervision is not available in many languages – morphological tagging is no exception. In the work presented here, we explore a transfer learning scheme, whereby we train character-level recurrent neural taggers to predict morphological taggings for high-resource languages and low-resource languages together. Learning joint character representations among multiple related languages successfully enables knowledge transfer from the high-resource languages to the low-resource ones.
%R 10.18653/v1/D17-1078
%U https://aclanthology.org/D17-1078
%U https://doi.org/10.18653/v1/D17-1078
%P 748-759
Markdown (Informal)
[Cross-lingual Character-Level Neural Morphological Tagging](https://aclanthology.org/D17-1078) (Cotterell & Heigold, EMNLP 2017)
ACL