CLNov 8, 2015

A Chinese POS Decision Method Using Korean Translation Information

arXiv:1511.02435v1
Originality Synthesis-oriented
AI Analysis

This addresses a domain-specific problem in natural language processing for Chinese language processing, but appears incremental as it adapts existing translation-based techniques.

The paper tackles Chinese part-of-speech tagging by leveraging Korean translation information, reporting performance analysis of the proposed method.

In this paper we propose a method that imitates a translation expert using the Korean translation information and analyse the performance. Korean is good at tagging than Chinese, so we can use this property in Chinese POS tagging.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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