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        <title>Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging</title>
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        <namePart type="given">Oscar</namePart>
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    <abstract>We consider the construction of part-of-speech taggers for resource-poor languages. Recently, manually constructed tag dictionaries from Wiktionary and dictionaries projected via bitext have been used as type constraints to overcome the scarcity of annotated data in this setting. In this paper, we show that additional token constraints can be projected from a resource-rich source language to a resource-poor target language via word-aligned bitext. We present several models to this end; in particular a partially observed conditional random field model, where coupled token and type constraints provide a partial signal for training. Averaged across eight previously studied Indo-European languages, our model achieves a 25% relative error reduction over the prior state of the art. We further present successful results on seven additional languages from different families, empirically demonstrating the applicability of coupled token and type constraints across a diverse set of languages.</abstract>
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%0 Journal Article
%T Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging
%A Täckström, Oscar
%A Das, Dipanjan
%A Petrov, Slav
%A McDonald, Ryan
%A Nivre, Joakim
%J Transactions of the Association for Computational Linguistics
%D 2013
%V 1
%I MIT Press
%C Cambridge, MA
%F tackstrom-etal-2013-token
%X We consider the construction of part-of-speech taggers for resource-poor languages. Recently, manually constructed tag dictionaries from Wiktionary and dictionaries projected via bitext have been used as type constraints to overcome the scarcity of annotated data in this setting. In this paper, we show that additional token constraints can be projected from a resource-rich source language to a resource-poor target language via word-aligned bitext. We present several models to this end; in particular a partially observed conditional random field model, where coupled token and type constraints provide a partial signal for training. Averaged across eight previously studied Indo-European languages, our model achieves a 25% relative error reduction over the prior state of the art. We further present successful results on seven additional languages from different families, empirically demonstrating the applicability of coupled token and type constraints across a diverse set of languages.
%R 10.1162/tacl_a_00205
%U https://aclanthology.org/Q13-1001
%U https://doi.org/10.1162/tacl_a_00205
%P 1-12

Markdown (Informal)

[Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging](https://aclanthology.org/Q13-1001) (Täckström et al., TACL 2013)

• Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging (Täckström et al., TACL 2013)

ACL

• Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan McDonald, and Joakim Nivre. 2013. Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging. Transactions of the Association for Computational Linguistics, 1:1–12.