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Learning to Case-Tag Modern Greek Text

机译:学习如何区分现代希腊文字

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摘要

Morphological case tagging is essential for the identification of the syntactic and semantic roles of sentence constituents in most inflectional languages. Although it is usually viewed as a side-task of general tagging applications, it is addressed in the present work as an individual, stand-alone application. Supervised learning is applied to Modern Greek textual data in order to case-tag declinable words using merely elementary lexical information and local context. Several experiments with various context window sizes, as well as base- and meta-learning schemata, were run with promising results.
机译:形态学案例标记对于识别大多数屈折语言中句子成分的句法和语义角色至关重要。尽管通常将其视为常规标记应用程序的附带任务,但在当前工作中将其作为单独的独立应用程序解决。监督学习应用于现代希腊语文本数据,以便仅使用基本词汇信息和本地上下文来标记可拒绝的单词。进行了几种具有各种上下文窗口大小以及基础学习和元学习模式的实验,并取得了可喜的结果。

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