John Sinclair is one of the major figures in applied linguistics and his work is essential study
for students. This accessible book collects in one volume Sinclair's key papers on written …

The use of large, computerized bodies of text for linguistic analysis and description has
emerged in recent years as one of the most significant and rapidly-develo** fields of …

The first systematic, corpus-based and theoretically rigorous approach to the description and
analysis of multimodal documents. Drawing on academic research and the experience of …

Unconstrained text recognition is an important computer vision task, featuring a wide variety
of different sub-tasks, each with its own set of challenges. One of the biggest promises of …

In this paper we investigate the error criteria that are optimized during the training of artificial
neural networks (ANN). We compare the bounds of the squared error (SE) and the …

This paper proposes the use of a new neural network architecture that combines a deep
convolutional neural network with an encoder–decoder, called sequence to sequence, to …