The creation of 3D models is a fundamental task in computer graphics. The task is required by professional artists working on movies, television, and games, and desired by casual users who wish to make their own models for use in virtual worlds or as a hobby. In this thesis, we consider approaches to creating and editing 3D models that minimize the user’s thinking in 3D. In particular, our appr...

Current software tools supporting diagramming notations are not satisfactory. Editors for diagramming notations such as State Transition Networks, Petri Nets or the Entity-Relationship data model, are always confronted with a problem: how much guidance should be given to the user throughout the editing task? Not enough guidance allows the diagram to evolve to non plausible configurations and ma...

The Automated Evaluation of Scientific Writing, or AESW, is the task of identifying sentences in need of correction to ensure their appropriateness in a scientific prose. The data set comes from a professional editing company, VTeX, with two aligned versions of the same text – before and after editing – and covers a variety of textual infelicities that proofreaders have edited. While previous s...

Task-modality has been found to constrain the production of LREs in adults and children. However, there are no studies with young learners that have offered a comprehensive analysis LREs. To this end, paper will examine effect task-modality on features targeted them, as well their level engagement/elaboration during primary-school learners’ performance task containing both an oral written compo...

At present there is no publicly available data set to evaluate the performance of different summarization systems on the task of generating location-related extended image captions. In this paper we describe a corpus of human generated model captions in English and German. We have collected 932 model summaries in English from existing image descriptions and machine translated these summaries in...

The objective of this study was to design and evaluate new dynamic text-editingmethods (chatting, instant messenger) using a foot pedal control. A first experiment was to assess whether the foot-based method enhanced editing performance compared to conventional mouse use and to identify which type of foot control is most convenient for users. Five prototype methods including four new methods (t...

In this paper, we describe the UPC system that participated in the WMT 2012 shared task on Quality Estimation for Machine Translation. Based on the empirical evidence that fluencyrelated features have a very high correlation with post-editing effort, we present a set of features for the assessment of quality estimation for machine translation designed around different kinds of n-gram language m...

This paper explores the idea of robot editors, automated proofreaders that enable journalists to improve the quality of their articles. We propose a novel neural model of multi-task learning that both generates proofread sentences and predicts the editing operations required to rewrite the source sentences and create the proofread ones. The model is trained using logs of the revisions made prof...

The goal of the Automated Evaluation of Scientific Writing (AESW) Shared Task is to analyze the linguistic characteristics of scientific writing to promote the development of automated writing evaluation tools that can assist authors in writing scientific papers. The proposed task is to predict whether a given sentence requires editing to ensure its “fit” with the scientific writing genre. We d...

In this paper we present the approach and system setup of the joint participation of Fondazione Bruno Kessler and University of Edinburgh in the WMT 2013 Quality Estimation shared-task. Our submissions were focused on tasks whose aim was predicting sentence-level Human-mediated Translation Edit Rate and sentence-level post-editing time (Task 1.1 and 1.3, respectively). We designed features that...