Menno van Zaanen

ORCID: 0000-0003-1841-2444
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About
Contact & Profiles
Research Areas
  • Natural Language Processing Techniques
  • Topic Modeling
  • Algorithms and Data Compression
  • Machine Learning and Algorithms
  • Speech and dialogue systems
  • Text Readability and Simplification
  • Online Learning and Analytics
  • Digital Humanities and Scholarship
  • Writing and Handwriting Education
  • semigroups and automata theory
  • Social Robot Interaction and HRI
  • Music and Audio Processing
  • Semantic Web and Ontologies
  • Online and Blended Learning
  • Virtual Reality Applications and Impacts
  • Neuroscience and Music Perception
  • Lexicography and Language Studies
  • Music Technology and Sound Studies
  • Human-Animal Interaction Studies
  • Second Language Acquisition and Learning
  • Recommender Systems and Techniques
  • Intelligent Tutoring Systems and Adaptive Learning
  • Digital Accessibility for Disabilities
  • Data Stream Mining Techniques
  • Speech Recognition and Synthesis

North-West University
2020-2023

Tilburg University
2011-2021

The University of Melbourne
2020

Loughborough University
2020

Eindhoven University of Technology
2020

Hong Kong University of Science and Technology
2020

University of Hong Kong
2020

Carleton College
2020

Institute for Cognitive Science Studies
2018-2019

Leiden University
2018

This paper introduces a new type of grammar learning algorithm, inspired by string edit distance (Wagner and Fischer, 1974). The algorithm takes corpus flat sentences as input returns labelled, bracketed sentences. method works on pairs unstructured that have one or more words in common. When two are divided into parts the same both different, this information is used to find interchangeable. These taken possible constituents type. After alignment step, selection step selects most probable...

10.3115/992730.992785 article EN 2000-01-01

This book provides a introduction to the field of theoretical computer science known as grammatical inference from computational linguistic perspective.

10.2200/s00643ed1v01y201504hlt028 article EN Synthesis lectures on human language technologies 2015-10-23

Keystroke logging is used to automatically record writers' unfolding typing process and get insight into moments when they struggle composing text. However, it not clear which how features from the keystroke log map higher-level cognitive processes, such as planning revision. This study aims investigate sensitivity of frequently across tasks with different demands. Two datasets were analyzed: one consisting a copy task an email writing task, larger difference in demand: academic summary...

10.1007/s11145-019-09953-8 article EN cc-by Reading and Writing 2019-05-15

Current writing support tools tend to focus on assessing final or intermediate products, rather than the process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and aspects of, Despite this potential, little is known about critical indicators that be used effectively provide feedback. This article proposes a participatory approach identify students' processes are meaningful for educational stakeholders considered in design future...

10.1080/09588221.2020.1839503 article EN cc-by-nc-nd Computer Assisted Language Learning 2020-11-10

Background. Empathic interactions with animated game characters can help improve user experience, increase immersion, and achieve better affective outcomes related to the use of game. Method. We used a 2x2 between-participant design control condition analyze impact visual appearance virtual character on empathy immersion. The four experimental conditions were: Natural (virtual animal) expressiveness (emotional facial expressions), natural non-expressiveness (without emotional artificial...

10.1177/1046878120926694 article EN Simulation & Gaming 2020-07-02

Starcraft II is a popular real-time strategy (RTS) game, in which players compete with each other online. Based on their performance, the are ranked one of seven leagues. In our research, we aim at constructing player model that capable predicting league competes, using observations in-game behavior. cognitive research and knowledge extracted from 1297 game replays number features describe skill. After preliminary test, selected SMO classifier to construct model, achieved weighted accuracy...

10.1609/aiide.v9i1.12682 article EN Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2021-06-30

The study of revision has been a topic interest in writing research over the past decades. Numerous studies have, for instance, shown that learning-to-revise is one key competences development. Moreover, several models have developed, and variety taxonomies used to measure empirical studies. Current advances data collection analysis made it possible increasingly precise detail. present aimed combine previous current by providing comprehensive product- process-oriented tagset revision....

10.1177/07410883211052104 article EN cc-by Written Communication 2021-10-29

Nowadays, Information and Communication Technology (ICT) provides an opportunity to discover new knowledge create a desirable learning environment.That is why the influence of ICT on education irrefutable.Technology has changed styles: way people prefer learn improve quality their learning.Physical online classes can be held concurrently so that lecturers students interact via management systems.A Learning Management System (LMS) application software plays significant role in educational...

10.18178/ijiet.2019.9.5.1223 article EN International Journal of Information and Education Technology 2019-01-01

Abstract Feedback is important to improve writing quality; however, provide timely and personalized feedback a time-intensive task. Currently, most literature focuses on providing (human or machine) support product characteristics, especially after draft submitted. However, this does not assist students who struggle during the process. Therefore, in study, we investigate use of keystroke analysis predict quality throughout Keystroke data were analyzed from 126 English as second language...

10.1007/s40593-021-00268-w article EN cc-by International Journal of Artificial Intelligence in Education 2021-08-24

There has recently been an increasing interest in Learning Management Systems (LMSs). It is currently unclear, however, exactly how these systems are perceived by their users. This article analyzes data on user acceptance for two LMSs (Blackboard and Canvas). The respective collected using a questionnaire modeled after the Technology Acceptance Model (TAM); it relates several variables that influence system acceptability, allowing detailed analysis of acceptance. We present analyses at...

10.3390/data8030045 article EN cc-by Data 2023-02-22

The problem of identifying and correcting confusibles, i.e. context-sensitive spelling errors, in text is typically tackled using specifically trained machine learning classifiers. For each different set a specific classifier tuned.

10.3115/1705475.1705482 article EN 2009-01-01
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