<p class="Textoindependiente21">TED Talks have these days become a valuable tool for online information dissemination in a wide range of areas of expertise. The use of TED Talks in a course of Technical English offers numerous advantages. TED teaches how to communicate by linking different modes (i.e. the visual, gestural, verbal, written and spatial) to technological production. Students can construct communication when they attentively observe and make meaning from this ensemble of modes which go beyond the verbal. TED Talks might also give rise to different tasks that entail some type of critical multimodal analysis, by which students can study the aptness of modes. They can explore why the speaker says something visually and not verbally, or which mode is best for which purpose. Yet, TED and its zeal for sharing and transmitting ideas to a wide audience should not be regarded as a means incompatible with more traditional models of information. As Jewitt highlights (2005), rather than asking what is best, the book or the screen”, it seems more reasonable to ask “what is best for what purpose”.</p>

In this paper, the methods for developing a database of Spanish writing that can be used for forensic linguistic research are presented, including our data collection procedures. Specifically, the main instrument used for data collection has been translated into Spanish and adapted from Chaski (2001). It consists of ten tasks, by means of which the subjects are asked to write formal and informal texts about different topics. To date, 93 undergraduates from Spanish universities have already participated in the study and prisoners convicted of gender-based abuse have participated. A twofold analysis has been performed, since the data collected have been approached from a semantic and a morphosyntactic perspective. Regarding the semantic analysis, psycholinguistic categories have been used, many of them taken from the LIWC dictionary (Pennebaker et al., 2001). In order to obtain a more comprehensive depiction of the linguistic data, some other ad-hoc categories have been created, based on the corpus itself, using a double-check method for their validation so as to ensure inter-rater reliability. Furthermore, as regards morphosyntactic analysis, the natural language processing tool ALIAS TATTLER is being developed for Spanish.  Results shows that is it possible to differentiate non-abusers from abusers with strong accuracy based on linguistic features.