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The present study aims to investigate how foreign language learners at the German for Academic Purposes (GAP) program at a Brazilian federal university interact in their mother tongue about their motivations to learn a foreign language as well as their motivations to participate in study abroad programs. Data were collected using focus group methodology with three focus groups of six students each (A1, A2 and B1 levels). We chose to analyze the A1 group. We conducted metaphor-led discourse analysis of the data in order to examine metaphors and metonymies, which emerged in the focus group interactions. We were able to identify the presence of systematic metaphors such as learning is hard work and learning is jumping hurdles, intertwined with conceptual metaphors such as education is a journey and difficulties are weights, which point at the motivation for learning verbalized by Brazilian foreign language learners who took part in the study.
For reasons of space, we only discussed one text in which the metaphors used seem to take their root in the context in which it has been written. One text is definitely not enough to make any definite claims on how widespread this phenomenon is. Given what we know about the two domains - Food and taste - one has reasons to believe that when speakers/conceptualisers (e.g. journalists) describe something which stands in some relation to both, they may intuitively be reaching for taste metaphors of the kind described above on the premise that this kind of ‘ornamentation’ will add some spice to what the addressee might otherwise consider a trivial (and boring) topic. At the same time, taste is only one among many properties a particular item of food or a substance (e.g. sugar) has. In consequence, one may well imagine contexts in which it is not its taste, but other properties (e.g. what Harbottle [1997:183] refers to as its 'pure white and deadly’ image) that will make the conceptualiser reach for a particular linguistic or conceptual metaphor.
The cognitive framework seems to comply with the need of interdisciplinary outlook on the issue of emotions, as it itself draws upon findings of psychological, anthropological and philosophical research. Along with undertaking further studies on the conceptualization of emotions in different languages, from the detailed analysis of the repertoire of linguistic means used for talking about emotions to investigation into tendencies to use metaphors or metonymies to talk about emotions, some broader conclusions could be drawn. The greatest challenge seems to be establishing whether there are any cultural (social, economical, conventional, political, religious) conditions that may influence the relevant changes in conceptualizing emotions in different languages and whether it is possible to point to any laws or regularities that would govern these changes.
Ever since the discovery of neural networks, there has been a controversy between two modes of information processing. On the one hand, symbolic systems have proven indispensable for our understanding of higher intelligence, especially when cognitive domains like language and reasoning are examined. On the other hand, it is a matter of fact that intelligence resides in the brain, where computation appears to be organized by numerical and statistical principles and where a parallel distributed architecture is appropriate. The present claim is in line with researchers like Paul Smolensky and Peter Gärdenfors and suggests that this controversy can be resolved by a unified theory of cognition – one that integrates both aspects of cognition and assigns the proper roles to symbolic computation and numerical neural computation.
The overall goal in this contribution is to discuss formal systems that are suitable for grounding the formal basis for such a unified theory. It is suggested that the instruments of modern logic and model theoretic semantics are appropriate for analyzing certain aspects of dynamical systems like inferring and learning in neural networks. Hence, I suggest that an active dialogue between the traditional symbolic approaches to logic, information and language and the connectionist paradigm is possible and fruitful. An essential component of this dialogue refers to Optimality Theory (OT) – taken as a theory that likewise aims to overcome the gap between symbolic and neuronal systems. In the light of the proposed logical analysis notions like recoverability and bidirection are explained, and likewise the problem of founding a strict constraint hierarchy is discussed. Moreover, a claim is made for developing an "embodied" OT closing the gap between symbolic representation and embodied cognition.