This paper describes the collection and annotation of comparable multimodal corpora for Nordic languages in a project involving research groups from Denmark, Estonia, Finland and Sweden. The goal of the project is to provide annotated multimodal resources to study communicative phenomena, such as feedback, turn-taking and sequencing in the languages involved in the project and to compare these ...

Negative life events play an important role in triggering depressive episodes. Developing psychiatric services that can automatically identify such events is beneficial for mental health care and prevention. Before these services can be provided, some meaningful semantic patterns, such as , have to be extracted. In this work, we present a text mining framework capable of inducing...

Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we introduce a universal architecture for emergent semantics using a central repository within a multi-user environment, based on solid linguistic theories. Based on this architecture, we have implemented an information ...

Pre-processing of bilingual corpora plays an important role in Example-Based Machine Translation (EBMT) and Statistical-Based Machine Translation (SBMT). For our Mandarin-English EBMT system, pre-processing includes segmentation for Mandarin, bracketing for English and building a statistical dictionary from the corpora. We used the Mandarin segmenter from the Linguistic Data Consortium (LDC). I...

Conversations do not only consist of spoken words but they also consist of non-verbal vocalisations. Since there is no standard to define and to classify (possible) non-speech sounds the annotations for these vocalisations differ very much for various corpora of conversational speech. There seems to be agreement in the six inspected corpora that hesitation sounds and feedback vocalisations are ...