Current machine translation (MT) systems are still not perfect. In practice, the output from
these systems needs to be edited to correct errors. A way of increasing the productivity of the …

To date, automatic handwriting recognition systems are far from being perfect and heavy
human intervention is often required to check and correct the results of such systems. This …

This book presents an interactive multimodal approach for efficient transcription of
handwritten text images. This approach, rather than full automation, assists the expert in the …

Current machine translation systems are far from being perfect. However, such systems can
be used in computer-assisted translation to increase the productivity of the (human) …

Recognition is considered to be a basic human mental ability in psychology [Myers and
DeWall (2018); Reisberg (2013)]. It consists of identifying the objects (systems, processes …

Paleography experts spend many hours transcribing ancient documents and state-of-the-art
handwritten text recognition systems are not suitable for performing this task automatically …

Speech recognition systems have proved their usefulness in very different tasks.
Nevertheless, the present state-of-the-art of the speech technologies does not make it …

In formal language theory, finite-state transducers are well-know models for simple “input-
output” mappings between two languages. Even if more powerful, recursive models can be …

Large vocabulary automatic speech recognition (ASR) technologies perform well in known
and controlled contexts. In less con trolled conditions, however, human review is often …

Given a Pattern Recognition task, Computer Assisted Pattern Recognition can be viewed as
a series of solution proposals made by a computer system, followed by corrections made by …