{"id":468957,"date":"2018-02-23T09:20:09","date_gmt":"2018-02-23T17:20:09","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=468957"},"modified":"2018-10-16T22:29:32","modified_gmt":"2018-10-17T05:29:32","slug":"using-treebank-grammar-syntactical-annotation-german-lexical-phrases","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/using-treebank-grammar-syntactical-annotation-german-lexical-phrases\/","title":{"rendered":"Using a Treebank Grammar for the Syntactical Annotation of German Lexical Phrases"},"content":{"rendered":"
The aim of this paper is to investigate whether a treebank grammar can be used to automatically classify and annotate German phrases contained in a MT lexicon. Phrases from the lexicon appear in their citation form and may differ structurally from the phrase tokens found in the corpus. We describe the grammar extraction process for a formalism called Tree-Generating Binary Grammar and evaluate the performance of subsets of the obtained grammar on a set of four types of lexical phrases.<\/div>\n","protected":false},"excerpt":{"rendered":"

The aim of this paper is to investigate whether a treebank grammar can be used to automatically classify and annotate German phrases contained in a MT lexicon. Phrases from the lexicon appear in their citation form and may differ structurally from the phrase tokens found in the corpus. 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