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- research-articleDecember 2024
Classification of human- and AI-generated texts for different languages and domains
International Journal of Speech Technology (SPIJST), Volume 27, Issue 4Pages 935–956https://doi.org/10.1007/s10772-024-10143-3AbstractChatbots based on large language models (LLMs) like ChatGPT are available to the wide public. These tools can for instance be used by students to generate essays or whole theses from scratch or by rephrasing an existing text. But how does for ...
- ArticleJuly 2022
Investigating Natural Language Processing Techniques for a Recommendation System to Support Employers, Job Seekers and Educational Institutions
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral ConsortiumPages 449–452https://doi.org/10.1007/978-3-031-11647-6_90AbstractSkills are the common ground between employers, job seekers and educational institutions which can be analyzed with the help of natural language processing (NLP) techniques. In this paper we explore a state-of-the-art pipeline that extracts, ...
- research-articleJanuary 2016
Word segmentation and pronunciation extraction from phoneme sequences through cross-lingual word-to-phoneme alignment
Computer Speech and Language (CSPL), Volume 35, Issue CPages 234–261https://doi.org/10.1016/j.csl.2014.10.001Graphical abstractDisplay Omitted HighlightsHuman translations guided language discovery for speech processing.Pronunciation extraction for non-written languages using cross-lingual information.Alignment model Model 3P for cross-lingual word-to-phoneme ...
- articleJanuary 2014
Web-based tools and methods for rapid pronunciation dictionary creation
In this paper we study the potential as well as the challenges of using the World Wide Web as a seed for the rapid generation of pronunciation dictionaries in new languages. In particular, we describe Wiktionary, a community-driven resource of ...
- ArticleJuly 2013
Pronunciation extraction from phoneme sequences through cross-lingual word-to-phoneme alignment
SLSP'13: Proceedings of the First international conference on Statistical Language and Speech ProcessingPages 260–272https://doi.org/10.1007/978-3-642-39593-2_23With the help of written translations in a source language, we cross-lingually segment phoneme sequences in a target language into word units using our new alignment model Model 3P [17]. From this, we deduce phonetic transcriptions of target language ...
