What are the challenges of translating texts that contain deliberate ambiguity or vagueness semantically?

Apply semantic translation using the merged ontology and an OWL-DL reasoner. a. Translate the source (STAR) XML instance to the source. (STAR) OWL ... Nov 8, 2017 ... The great contribution of Peter Newmark is his semantic and communicative translation and text-category theory, which provide effective and ... Semantic translation is more author-centered and faithful to the source text, focusing on preserving meaning. Communicative translation is more reader-centered ... In this paper, we introduce a new metric which we call the semantic translation error rate, or STER, for evaluating the performance of machine translation ... Communicative translation and semantic translation are two major translation methods put forward by Peter Newmark in one of his masterpieces Approaches to ... This dissertation deals with the improvement of systems for machine translation (MT) using semantic information. While semantic translation attempts to translate word for word without even changing the sequence or the structure of word and sentence in SL, regardless of the ... Semantic translation. It is the process of using semantic information to aid in the translation of data in one representation or data model to another ... English semantic translation is an important research topic in natural language processing. It is essential to acquire knowledge and analysis in the context of ... Sep 11, 2024 ... In this article I want to explain one specific aspect about the translation I was facing that was particularly interesting: null semantics.