This document presents _Annota " tėd Ėnglish^, a system of diacritical symbols which turns English pronunciation into a precise and unambiguous process. The annotations are defined and located in such a way that the original English text is not altered (not even a letter), thus allowing for a consistent reading and learning of the English language with and without annotations. The annotations a...

GOMS is a well-known model that has been successfully used in predicting the performance of human-computer interaction, identifying usability problems and improving user-interface design. The focus of GOMS is on the individual user, however. This explains why it has no significant impact in the groupware context. This paper discusses the applicability of GOMS in the groupware context. We analyz...

The advancement of high-throughput sequencing (HTS) technologies and the rapid development of numerous analysis algorithms and pipelines in this field has resulted in an unprecedentedly high demand for training scientists in HTS data analysis. Embarking on developing new training materials is challenging for many reasons. Trainers often do not have prior experience in preparing or delivering su...

Syntactic structures have been good features for opinion analysis, but it is not easy to use them. To find these features by supervised learning methods, correct syntactic labels are indispensible. Two possible sources to acquire syntactic structures are parsing trees and dependency trees. For the annotation processing, parsing trees are more readable for annotators, while dependency trees are ...

Readability aims to assess the difficulty of texts based on various linguistic predictors (the lexicon used, the complexity of sentences, the coherence of the text, etc.). It is an active field that has applications in a large number of NLP domains, among which machine translation, text simplification, text summarisation, or CALL (Computer-Assisted Language Learning). For CALL, readability tool...

OBJECTIVE The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of the art on the clinical text in (i) disorder mention identification/recognition based on Unified Medical Language System (UMLS) definition (Task 1a) and (ii) disorder mention normalization to an ontology (Task 1b). Such a community evaluation has not been previously executed. Task 1a included a to...