A bitext, or bilingual parallel corpus, consists of two texts, each one in a different language, that are mutual translations. Bitexts are very useful in linguistic engineering because they are used as source of knowledge for different purposes. In this paper we propose a strategy to efficiently compress and use bitexts, saving, not only space, but also processing time when exploiting them. Our...

This paper provides a corpus-based study on German particle verbs. We hypothesize that there are regular mechanisms in meaning shifts of a base verb in combination with a particle that do not only apply to the individual verb, but across a semantically coherent set of verbs. For example, the syntactically similar base verbs brummen ‘hum’ and donnern ‘rumble’ both describe an irritating, displea...

In this paper, we run our content-based video genre classification system on the MediaEval evaluation corpus. Our system is based on several low level audio-visual cues, as well as cognitive and structural information. The purpose of this evaluation is to assess our content-based system’s performance on the diversified content of the blip.tv web-video corpus, which is described in detail in [5].

This paper proposes an automatic, essentially domainindependent means of evaluating Spoken Language Systems (SLS) which combines software we have developed for that purpose (the "Comparator") and a set of specifications for answer expressions (the "Common Answer Specification", or CAS). The Comparator checks whether the answer provided by a SLS accords with a canonical answer, returning either ...

This paper focuses on the novel task of automatic extraction of phrases related to causes of emotions. The analysis of emotional causes in sentences, where emotions are explicitly indicated through emotion keywords can provide the foundation for research on challenging task of recognition of implicit affect from text. We developed a corpus of emotion causes specific for 22 emotions. Based on th...

Psychologists have used tests and carefully designed survey questions, such as Beck's Depression Inventory (BDI), to identify the presence of depression assess its severity level.On other hand, methods for automatic detection gained increasing interest since all information available in social media, Twitter Facebook, enables novel measurement based on language use.These learn characterize thro...