Proceedings of The 3rd Workshop on Multi-word Units in Machine Translation and Translation Technology (MUMTTT 2017)

This volume documents the proceedings of the 3rd Workshop on Multi-word Units in Machine Translation and Translation Technology (MUMTTT 2017), held on 4 November 2017 as part of the EUROPHRAS 2017 conference: "Computational and Corpus-based Approaches to Phraseology: Recent advances and interdisciplinary approaches" (London, 13-14 November 2015), jointly organised by the European Association for Phraseology (EUROPHRAS), the University of Wolverhampton (Research Institute of Information and Language Processing) and the Association for Computational Linguistics – Bulgaria. The workshop was held under the auspices of the European Society of Phraseology (EUROPHRAS), the Special Interest Group on the Lexicon of the Association for Computational Linguistics (SIGLEX), and SIGLEX's Multiword Expressions Section (SIGLEX-MWE). The workshop was co-chaired by Ruslan Mitkov (University of Wolverhampton), Johanna Monti (Università degli Studi di Sassari), Gloria Corpas Pastor (Universidad de Málaga) and Violeta Seretan (Université de Genève). The topic of the workshop was the integration of multi-word units in machine translation and translation technology tools. In spite of the relative progress achieved for particular types of units such as verb-particle constructions, the identification, interpretation and translation of multi-word units in general still represent open challenges, both from a theoretical and a practical point of view. The idiosyncratic morpho-syntactic, semantic and translational properties of multi-word units pose many obstacles even to human translators, mainly because of intrinsic ambiguities, structural and lexical asymmetries between languages, and, finally, cultural differences. The aim of the workshop was to bring together researchers and practitioners working on MWU processing from various perspectives, in order to enable cross fertilisation and foster the creation of innovative solutions that can only arise from interdisciplinary collaborations. The present edition of the workshop provided a forum for researchers and practitioners in the fields of (Computational) Linguistics, (Computational) Phraseology, Translation Studies and Translation Technology to discuss recent advances in the area of multi-word unit processing and to coordinate research efforts across disciplines in order to improve the integration of multi-word units in machine translation and translation technology tools. The programme included 5 oral presentations, and featured an invited talk by Carlos Ramisch, Aix-Marseille University, France. The papers accepted are indicative of the current efforts of researchers and developers who are actively engaged in improving the state of the art of multi-word unit translation. We would like to thank all authors who contributed papers to this workshop edition and the Programme Committee members who provided valuable feedback during the review process

Ontological Approach for Question Generation and Knowledge Control

With the development of intelligent information technology, automatic generation of questions and automatic verification of answers have become one of the main functions of the intelligent tutoring systems. Although some existing approaches to automatic generation of questions and automatic verification of answers are introduced in the literature, these approaches only allow to generate very simple objective questions and verify user answers with very simple semantic structure. So, this article proposes an approach for designing a general subsystem of automatic generation of questions and automatic verification of answers in intelligent tutoring systems built using OSTIS technology. The designed subsystem allows to automatically generate various types of questions based on information from the knowledge bases and multiple question generation strategies, and the subsystem can also automatically verify the correctness and completeness of user answers in the form of semantic graphs. Compared with existing approaches, the subsystem designed using the approach proposed in this article can not only generate various complex types of questions, such as multiple-choice questions, fill in the blank questions, questions of definition interpretation, etc., but also verify user answers with complex semantic structures