Autor: |
Şaziye Betül Özateş, Özlem Çetinoğlu |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching. |
Popis: |
Morphological tagging of code-switching (CS) data becomes more challenging especially when language pairs composing the CS data have different morphological representations. In this paper, we explore a number of ways of implementing a language-aware morphological tagging method and present our approach for integrating language IDs into a transformer-based framework for CS morphological tagging. We perform our set of experiments on the Turkish-German SAGT Treebank. Experimental results show that including language IDs to the learning model significantly improves accuracy over other approaches. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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