Irritating CAT Tool Features that Matter to Translators

Focusing Attention on Visual Features that Matter

An indoor navigating agent needs to efficiently understand the geometric structure of its local environment in order to act. A common scene understanding approach is to generate a set of hypotheses about the geometric structure of the indoor environment and then test the hypotheses to select the one with the highest rank, from a single image [1, 4, 5, 6] or from a continuous stream of images (e...

Dark Chocolate and Metabolic Syndrome; Do Polyphenols All that Matter?

CAT: the CELCT Annotation Tool

This paper presents CAT CELCT Annotation Tool, a new general-purpose web-based tool for text annotation developed by CELCT (Center for the Evaluation of Language and Communication Technologies). The aim of CAT is to make text annotation an intuitive, easy and fast process. In particular, CAT was created to support human annotators in performing linguistic and semantic text annotation and was de...

Stationary Features and Cat Detection

Most discriminative techniques for detecting instances from object categories in still images consist of looping over a partition of a pose space with dedicated binary classifiers. The efficiency of this strategy for a complex pose, i.e., for finegrained descriptions, can be assessed by measuring the effect of sample size and pose resolution on accuracy and computation. Two conclusions emerge: ...

Teaching commercial MT to translators

This paper presents the experiment that was led at the University Paris 7 to teach machine translation to translation students. Linking machine translation with translation-training in order to help students acquire the linguistic and technical skills increasingly required on the translation market has become part of a number of translation syllabuses in the last few years. Although, MT knowled...