BACKGROUND Deaf children vary in the use of and proficiency in signed language. The majority of studies on writing skills of children who are deaf did not assess deaf children's proficiency in signed language and/or grouped together deaf children with varying sign language skills. AIMS Adopting a bimodal bilingual perspective, we examined evaluative expression, an important narrative tool in ...

In the selection of a new textbook, it is important to conduct an evaluation to ensure that it is suitable. Evaluation is widely acknowledged as a powerful means of improving the quality of education. There are three methods of evaluation that can be used for evaluating English Language Teaching (ELT) textbooks. An evaluative checklist is one of these methods that can be used to help select the...

This paper presents a system for generating user tailored evaluative arguments, known as the Generator of Evaluative Arguments (GEA). GEA design is based on a pipelined architecture commonly used in natural language generation. After an overview description of GEA main components, we focus on how GEA performs the microplanning tasks. Details are provided by examining the generation of a sample ...

Metaphor pervades discussions of important socio-political topics. Recent research indicates that metaphorical language can influence how people reason about such topics, potentially affecting real-world decision-making. In this study, we report on research into the effects of metaphor on evaluative judgment, another aspect of decision-making that has been less well studied than reasoning. We u...

Getting travel tips from the experienced bloggers and online forums has been one of the important supplements to the travel guidebook in the web society. In this paper we present a novel approach by identifying and extracting evaluative patterns, providing a different linguistically-motivated framework for automated evaluative text generation. We target at domain-specific observation in online ...

This paper presents a corpus study of evaluative and speculative language. Knowledge of such language would be useful in many applications, such as text categorization and summarization. Analyses of annotator agreement and of characteristics of subjective language are performed. This study yields knowledge needed to design e ective machine learning systems for identifying subjective language.