Term variation is an important issue in various applications of natural language processing (NLP) such as machine translation, information retrieval and text indexing. In this paper, we describe an ‘Abductive Terminological Database’ (ATDB) aiming to detect translations of terms and their variants in bilingual texts. We describe abduction as the process to infer specific term translation templates from multiple resources which have been induced from a bilingual text. We show that precision and recall of the ATDB increase when using more resources and when the resources interfere in a less restricted way. We discuss a way to feed back evaluation values into the induced resources thus allowing for weighted abduction which further enhances the precision of the tool.
This paper introduces the "Gendercheck Editor", a tool to check German texts for gender discriminatory formulations. It relays on shallow rule-based techniques as used in the Controlled Language Authoring Technology (CLAT). The paper outlines major sources of gender imbalances in German texts. It gives a background on the underlying CLAT technology and describes the marking and annotation strategy to automatically detect and visualize the questionable pieces of text. The paper provides a detailed evaluation of the editor.
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