This paper describes a video summarization and semantics editing tool that is suited for content-based video indexing and retrieval with appropriate human operator assistance. The whole system has been designed with a clear focus on the extraction and exploitation of motion information inherent in the dynamic video scene. The dominant motion information has been used explicitly for shot boundar...

This paper reports about the experience of designing the proper author support for developing and testing a very flexible adaptive hypertext. After presenting the differences between designing standard and adaptive hypertexts, a proposal for an adaptive hypertext design environment is discussed exploring the network editing task as well as the testing stage. This analysis show the importance of...

An important issue in implementation of a GIS system is preparation of data to be entered in GIS. To produce spatial data for GIS using photogrammetric techniques, conventional method is to apply photogrammetric and GIS systems individually (off-line procedure). This approach is costly, time consuming and somehow unreliable due to the fact that 3D photogrammetric model is not available at the ...

This article describes a machine translation system based on an automatic post-editing strategy: initially translate the input text into the target-language using a rule-based MT system, then automatically post-edit the output using a statistical phrase-based system. An implementation of this approach based on the SYSTRAN and PORTAGE MT systems was used in the shared task of the Second Workshop...

We present a web-based tool for generating and editing pronunciation lexicons in multiple languages. The tool is implemented as a web application on Google App Engine and can be accessed remotely from a web browser. The client application displays to users a textual prompt and interface that reconfigures based on language and task. It lets users generate pronunciations via constrained phoneme s...

This paper describes our submission UFAL MULTIVEC to the WMT16 Quality Estimation Shared Task, for EnglishGerman sentence-level post-editing effort prediction and ranking. Our approach exploits the power of bilingual distributed representations, word alignments and also manual post-edits to boost the performance of the baseline QuEst++ set of features. Our model outperforms the baseline, as wel...

This paper introduces the task of interacting with an image editing program through natural language. We present a corpus of image edit requests which were elicited for real world images, and an annotation framework for understanding such natural language instructions and mapping them to actionable computer commands. Finally, we evaluate crowd-sourced annotation as a means of efficiently creati...

This study describes the design of the NTNU-YZU system for the automated evaluation of scientific writing shared task. We employ a convolutional neural network with the Word2Vec/GloVe embedding representation to predict whether a sentence needs language editing. For the Boolean prediction track, our best F-score of 0.6108 ranked second among the ten submissions. Our system also achieved an F-sc...

A credible theory of intelligence must provide a satisfactory account of the wide spectrum of learning abilities displayed by humans and some other animals. One of the most impressive of these is skill acquisition—the ability to create new skills, refine them through practice, and apply them in new task contexts. This ability to retain and refine solutions to important subproblems and then empl...