This paper describes the results of work made for ELRA during 2003-2004. It describes the methodology for validation of written language resources (WLRs), specifically lexica, which has been developed for ELRA and tested on a few resources in the ELRA catalogue. It discusses the importance of key issues in lexicon creation and validation such as the adoption of standards for the coding of lingu...

BACKGROUND Dyspnoea, the feeling of breathing discomfort, consists of multiple dimensions that can vary in intensity, including the level of unpleasantness, qualities or descriptors of the sensation, emotional responses, and impact on function. No validated instrument for multidimensional measurement of dyspnoea is available in Swedish. The Multidimensional Dyspnea Profile (MDP) was recently de...

INTRODUCTION The quality of life (QoL) is an important outcome indicator for heart failure management. As the use of a validate questionnaire in a different cultural context can affect data interpretation our main objective is the Italian translation and linguistic validation of the Severe Heart Failure Questionnaire (SHF) and its comparison with the MLHF (Minnesota Living with Heart Failure) Q...

Given a semantic relation, the automatic extraction of linguistic patterns that express that relation is a rather difficult problem. This paper presents a semi-automatic method of discovering generally applicable lexico-syntactic patterns that refer to the causal relation. The patterns are found automatically, but their validation is done semi-automatically.

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing segmentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine ...

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing seg-mentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine...

http://sro.sussex.ac.uk Cooke, Debbie, O'Hara, Mary Clare, Beinhart, Naomi, Heller, Simon, La Marca, Roberto, Byrne, Molly, Mansell, Peter, Dinneen, Sean F, Clarke, Marie, Bond, Rod and Speight, Jane (2012) Linguistic and psychometric validation of the Diabetes-Specific Quality-of-Life Scale (DSQOLS) in U.K. English for adults with type 1 diabetes. Diabetes Care, 36 (5). pp. 1117-1125. ISSN 014...

This paper describes the development and validation of a new model and questionnaire to measure Iranian English as a foreign language learners’ attitudes towards the use of native versus non-native English language norms. Based on a comprehensive review of the related literature and interviews with domain experts, five factors were identified. A draft version of a questionnaire based on those f...

In this article, we propose a method of text summary's content and linguistic quality evaluation that is based on a machine learning approach. This method operates by combining multiple features to build predictive models that evaluate the content and the linguistic quality of new summaries (unseen) constructed from the same source documents as the summaries used in the training and the validat...

Aim of the present study is the validation of a series of predictions concerning the ability to comprehend different pragmatic phenomena expressed through linguistic or gestural means. According to the Cognitive Pragmatics Theory, it exists a gradation of difficulty in the comprehension of different pragmatic phenomena, depending upon the complexity of the mental representations involved; furth...