This article discusses the rationale for using language diaries as a method to evaluate language use and language choice in multilingual contexts, as well as the benefits and limitations of this approach vis-à-vis other research methods. This is illustrated using examples from two contexts: Flemish Sign Language/Dutch bilinguals in Flanders and Gaelic/English bilinguals in the Western Isles of Scotland. In both cases, the language diaries were part of a larger mixed-method study which aimed to evaluate language use and language choice in contexts in which the majority language is in almost all instances the unmarked choice. Language diaries provide a new perspective on individual language practices as they allow for an evaluation of contextualised examples of language use and give insight into the factors that drive language and modality choice, and language ideologies. Language diaries give participants ownership over the information shared with the researcher and provide access to a number of different domains. Despite being based on self-reported practices, their situated nature demonstrates how language use can change through personal circumstances. This in turn contributes to a greater understanding of the use of Flemish Sign Language and Gaelic in the wider sociolinguistic contexts in which these languages exist.
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This chapter deals with the study of how deaf and hearing signers, and others, understand sign languages by themselves and in relationship to other languages and modalities. By doing linguistic ethnography, it is possible to investigate these language attitudes and ideologies as they unfold in everyday practice, towards ideas such as the status of sign languages and particular varieties; discourses surrounding linguistic authority, authenticity and ownership; and the emergence (or development) of new sign languages and new subject-specific vocabulary. The methods discussed in this chapter are ethnographic research methods and visual methods: participant observation, ethnographic filmmaking, and language portraits. The main points of the chapter are illustrated by means of three case studies: (1) participant observation in multilingual tourist spaces in Bali, in which Indonesian Sign Language, International Sign, and American Sign Language are used; (2) ethnographic filmmaking within an international multi-sited research project focusing on International Sign; and (3) the use of language portraits with new signers and heritage signers in Flanders, who mostly use Flemish Sign Language and Dutch
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In this paper we describe our work in progress on the development of a set of criteria to predict text difficulty in Sign Language of the Netherlands (NGT). These texts are used in a four year bachelor program, which is being brought in line with the Common European Framework of Reference for Languages (Council of Europe, 2001). Production and interaction proficiency are assessed through the NGT Functional Assessment instrument, adapted from the Sign Language Proficiency Interview (Caccamise & Samar, 2009). With this test we were able to determine that after one year of NGT-study students produce NGT at CEFR-level A2, after two years they sign at level B1, and after four years they are proficient in NGT on CEFR-level B2. As a result of that we were able to identify NGT texts that were matched to the level of students at certain stages in their studies with a CEFR-level. These texts were then analysed for sign familiarity, morpheme-sign rate, use of space and use of non-manual signals. All of these elements appear to be relevant for the determination of a good alignment between the difficulty of NGT signed texts and the targeted CEFR level, although only the morpheme-sign rate appears to be a decisive indicator
-Chatbots are being used at an increasing rate, for instance, for simple Q&A conversations, flight reservations, online shopping and news aggregation. However, users expect to be served as effective and reliable as they were with human-based systems and are unforgiving once the system fails to understand them, engage them or show them human empathy. This problem is more prominent when the technology is used in domains such as health care, where empathy and the ability to give emotional support are most essential during interaction with the person. Empathy, however, is a unique human skill, and conversational agents such as chatbots cannot yet express empathy in nuanced ways to account for its complex nature and quality. This project focuses on designing emotionally supportive conversational agents within the mental health domain. We take a user-centered co-creation approach to focus on the mental health problems of sexual assault victims. This group is chosen specifically, because of the high rate of the sexual assault incidents and its lifetime destructive effects on the victim and the fact that although early intervention and treatment is necessary to prevent future mental health problems, these incidents largely go unreported due to the stigma attached to sexual assault. On the other hand, research shows that people feel more comfortable talking to chatbots about intimate topics since they feel no fear of judgment. We think an emotionally supportive and empathic chatbot specifically designed to encourage self-disclosure among sexual assault victims could help those who remain silent in fear of negative evaluation and empower them to process their experience better and take the necessary steps towards treatment early on.
