LARA (Learning And Reading Assistant) is a platform initiated during Q3 2018. As the name suggests, the goal is to provide assistance to students who are improving their competence in the L2 through reading. LARA processes text into a marked-up form which offers two basic kinds of support. First, each sentence is linked to a recorded audio file, so the student can always find out what the text they are reading sounds like; second, there is a personalized hyperlinked concordance which shows the student where each word has previously occurred in their own reading experience. Other functionality includes the possibility of including images and links to translations and external grammar resources. The online documentation describes how to create LARA pages using the LARA portal or command-line tools.

 Our initial work with LARA is being carried out in collaboration with the University of Iceland, the Ferdowsi University of Mashhad, Swinburne University, Melbourne, the University of Adelaide, Istanbul Technical University and several independent scholars including Cathy Chua, Matt Butterweck and Junta Ikeda. Our joint SLaTE 2019 paper gives more details. The L ARA content tab gives you examples of LARA-annotated texts for several languages. News about LARA is posted regularly in the LARA blog.

enetCollect is organising a **hands-on LARA workshop** in Trnava, Slovakia, Nov 27-29 2019. Preliminary program here.