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metric ID: productivity

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This paper examines the extent to which verb diathesis alternations are empirically attested in corpus data. We automatically acquire alternating verbs from large balanced corpora by using partial- parsing methods …...

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Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs

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Publication: TIPSTER (2008)

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We present a novel approach to weakly super- vised semantic class learning from the web, using a single powerful hyponym pattern com- bined with graph structures, which capture two properties …...

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Bridging the Gap – EuroTermBank Terminology Delivered to Users’ Environment

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The paper presents EuroTermBank Ter- minology Add-in – an innovative multi- lingual terminology translation tool. This tool integrates the federated terminology of the currently over 100 EuroTermBank terminology resources in …...

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Assumptions, expectations and outliers in post-editing

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As a multilingual vendor, we have access to machine translation (MT) scoring and other evaluation data on a wide range of language combinations and content types; we also have experience …...

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Evaluating the effects of interactivity in a post-editing workbench

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GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds

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AbstractThis paper presents a novel gold standard of German noun-noun compounds (Ghost-NN) including 868 compounds annotated with corpus frequencies of the compounds and their constituents, productivity and ambiguity of the …...

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Impact of Automatic Segmentation on the Quality, Productivity and Self-reported Post-editing Effort of Intralingual Subtitles

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AbstractThis paper describes the evaluation methodology followed to measure the impact of using a machine learning algorithm to automatically segment intralingual subtitles. The segmentation quality, productivity and self-reported post-editing effort …...

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The Trials and Tribulations of Predicting Post-Editing Productivity

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AbstractWhile an increasing number of (automatic) metrics is available to assess the linguistic quality of machine translations, their interpretation remains cryptic to many users, specifically in the translation community. They …...

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AbstractCompositionality is a pivotal property of symbolic reasoning. However, how well recent neural models capture compositionality remains underexplored in the symbolic reasoning tasks. This study empirically addresses this question by …...

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