PAISÀ is a Creative Commons licensed, large web corpus of contemporary Italian. We describe the design, harvesting, and processing steps involved in its creation.

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Extended Linguistic Dependency Diagrams are an innovative visualization of a data structure that is increasingly important in linguistics and language studies. It uses standard InfoVis techniques in ways new to linguistic diagrams to encode more information than is possible with previous visualizations. The goal is to make the diagrams easier to use, by allowing easier identification of the parts of the diagram of interest to the user. In addition, we aim to construct reusable tools to aid in language analysis and study. Preliminary evaluation supports the validity of the approach and suggests further improvements.

We present enetCollect, a large European network project funded as a COST Action that sets ground for combining crowdsourcing with IT technologies used in areas such as language learning and Natural Language Processing (NLP). This project tackles a major challenge of bringing together interdisciplinary researchers to foster language learning of all European citizens from diverse sociodemographic, cultural, educational, and linguistic backgrounds. It aims at unlocking a crowdsourcing potential available for all languages, including less widely spoken languages, in order to create language resources and achieve a coverage of material for teaching the languages. It will meet its research and capacity-building goals by creating an international community of researchers that will work on producing a comprehensive theoretical framework and running prototypical experiments to benefit a wide range of users and languages, while considering ethical, legal, and business issues. This article informs about its objectives, expected impact and strategic organisation that contribute to reaching its flexible and sustainable success goals.

In this paper, we present our work on developing a vocabulary trainer that uses exercises generated from language resources such as ConceptNet and crowdsources the responses of the learners to enrich the language resource. We performed an empirical evaluation of our approach with 60 non-native speakers over two days, which shows that new entries to expand Concept-Net can efficiently be gathered through vocabulary exercises on word relations.We also report on the feedback gathered from the users and an expert from language teaching, and discuss the potential of the vocabulary trainer application from the user and language learner perspective. The feedback suggests that v-trel has educational potential, while in its current state some shortcomings could be identified.