Open Access

Metadata provides important information relevant both to finding and understanding corpus data. Meaningful linguistic data requires both reasonable annotations and documentation of these annotations. This documentation is part of the metadata of a dataset. While corpus documentation has often been provided in the form of accompanying publications, machinereadable metadata, both containing the bibliographic information and documenting the corpus data, has many advantages. Metadata standards allow for the development of common tools and interfaces. In this paper I want to add a new perspective from an archive’s point of view and look at the metadata provided for four learner corpora and discuss the suitability of established standards for machine-readable metadata. I am are aware that there is ongoing work towards metadata standards for learner corpora. However, I would like to keep the discussion going and add another point of view: increasing findability and reusability of learner corpora in an archiving context.

Content 1 Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing Marianne Grace Araneta, Gülsen Eryigit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous and Federico Sangati 2 The Teacher-Student Chatroom Corpus Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne and Paula Buttery 3 Polygloss - A conversational agent for language practice Etiene da Cruz Dalcol and Massimo Poesio 4 Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant Frankie Robertson

Content 1 Predicting learner knowledge of individual words using machine learning Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková 2 Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context Eckhard Bick 3 Toward automatic improvement of language produced by non-native language learners Mathias Creutz, Eetu Sjöblom 4 Linguistic features and proficiency classification in L2 Spanish and L2 Portuguese Iria del Ri´o 5 Integrating large-scale web data and curated corpus data in a search engine supporting German literacy education Sabrina Dittrich, Zarah Weiss, Hannes Schröter, Detmar Meurers 6 Formalism for a language agnostic language learning game and productive grid generation Sylvain Hatier, Arnaud Bey, Mathieu Loiseau 7 Understanding Vocabulary Growth Through An Adaptive Language Learning System Elma Kerz, Andreas Burgdorf, Daniel Wiechmann, Stefan Meeger,Yu Qiao, Christian Kohlschein, Tobias Meisen 8 Summarization Evaluation meets Short-Answer Grading Margot Mieskes, Ulrike Padó 9 Experiments on Non-native Speech Assessment and its Consistency Ziwei Zhou, Sowmya Vajjala, Seyed Vahid Mirnezami 10 The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Björn Rudzewitz, Detmar Meurers

This paper describes the TEI-based ISO standard 24624:2016 ‘Transcription of spoken language’ and other formats used within CLARIN for spoken language resources. It assesses the current state of support for the standard and the interoperability between these formats and with rele- vant tools and services. The main idea behind the paper is that a digital infrastructure providing language resources and services to researchers should also allow the combined use of resources and/or services from different contexts. This requires syntactic and semantic interoperability. We propose a solution based on the ISO/TEI format and describe the necessary steps for this format to work as an exchange format with basic semantic interoperability for spoken language resources across the CLARIN infrastructure and beyond.

The article focuses on determining responsible parties and the division of potential liability arising from sharing language data (LD) containing personal data (PD). A key issue here is to identify who has to make sure and guarantee the GDPR compliance. The authors aim to answer 1) whether an individual researcher is a controller and 2) whether sharing LD results in joint controllership or separate controllership (whether the data's transferee becomes the controller, the joint controller or the processor). The article also analyses the legal relations of parties involved in data sharing and potential liability. The final section outlines data sharing in the CLARIN context. The analysis serves as a preliminary analytical background for redesigning the CLARIN contractual framework for sharing data.