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  1. This detailed breakdown provides insight into how different semantic changes are represented and have evolved across various SM platforms. It helps to understand platform-specific …

  2. In practice, S. Daum al. (S. Daum al. , 2014) present an approach to generating building fingerprints automatically based on a spatial - semantic query language for BIM.

  3. Bridge material was also provided in the UBS Translator's Handbook series of commentaries that aimed to educate trans-lators (or at least team leaders) about the formal and semantic …

  4. 2 main levels of semantic analysis, document level and sentence level, though the only analysis method reviewed here that is capable of both are Neural Network based models.

  5. Semantic segmentation images are used to provide semantic information. The experimental results show that the fusion data has high resolution and visibility, and can be used as an input …

  6. Nov 11, 2006 · ns used for sentences and smaller units are referred to as translation procedures. He distinguishes the following types of translation methods: word-for-word, literal, faithful a d …

  7. Inappropriate expression: a semantic error resulting when an inappropriate meaning is given to a word or an expression which deviates from the language protype.

  8. The theory of semantic shift, also known as semantic change, is a fundamental concept in this field. It explains how words can change meaning, either by broadening, narrowing, or …

  9. This research is intended to analyze the meanings of semantic and moral values found in songs lyrics in the album by Coldplay. The result of this research is expected to be valuable research …

  10. SIFT Flow is a dataset of 2,688 images with pixel labels for 33 semantic categories (“bridge”, “mountain”, “sun”), as well as three geometric categories (“horizontal”, “vertical”,and “sky”).