Peter Ljunglöf

Also published as: Peter Ljunglof


2020

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Towards Computational Resource Grammars for Runyankore and Rukiga
David Bamutura | Peter Ljunglöf | Peter Nebende
Proceedings of the 12th Language Resources and Evaluation Conference

In this paper, we present computational resource grammars of Runyankore and Rukiga (R&R) languages. Runyankore and Rukiga are two under-resourced Bantu Languages spoken by about 6 million people indigenous to South- Western Uganda, East Africa. We used Grammatical Framework (GF), a multilingual grammar formalism and a special- purpose functional programming language to formalise the descriptive grammar of these languages. To the best of our knowledge, these computational resource grammars are the first attempt to the creation of language resources for R&R. In Future Work, we plan to use these grammars to bootstrap the generation of other linguistic resources such as multilingual corpora that make use of data-driven approaches to natural language processing feasible. In the meantime, they can be used to build Computer-Assisted Language Learning (CALL) applications for these languages among others.

2019

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Towards a Resource Grammar for Runyankore and Rukiga
David Bamutura | Peter Ljunglöf
Proceedings of the 2019 Workshop on Widening NLP

Currently, there is a lack of computational grammar resources for many under-resourced languages which limits the ability to develop Natural Language Processing (NLP) tools and applications such as Multilingual Document Authoring, Computer-Assisted Language Learning (CALL) and Low-Coverage Machine Translation (MT) for these languages. In this paper, we present our attempt to formalise the grammar of two such languages: Runyankore and Rukiga. For this formalisation we use the Grammatical Framework (GF) and its Resource Grammar Library (GF-RGL).

2018

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MULLE: A grammar-based Latin language learning tool to supplement the classroom setting
Herbert Lange | Peter Ljunglöf
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications

MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide standalone learning experience. It uses grammar-based lessons and embraces methods of gamification to improve the learner motivation. The main type of exercise provided by our application is to practice translation, but it is also possible to shift the focus to vocabulary or morphology training.

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Demonstrating the MUSTE Language Learning Environment
Herbert Lange | Peter Ljunglöf
Proceedings of the 7th workshop on NLP for Computer Assisted Language Learning

2015

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Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies
Jan Alexandersson | Ercan Altinsoy | Heidi Christensen | Peter Ljunglöf | François Portet | Frank Rudzicz
Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies

2014

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Fast Statistical Parsing with Parallel Multiple Context-Free Grammars
Krasimir Angelov | Peter Ljunglöf
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

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ShrdLite: Semantic Parsing Using a Handmade Grammar
Peter Ljunglöf
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2013

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Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies
Jan Alexandersson | Peter Ljunglöf | Kathleen F. McCoy | François Portet | Brian Roark | Frank Rudzicz | Michel Vacher
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies

2012

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Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
Jan Alexandersson | Peter Ljunglöf | Kathleen F. McCoy | Brian Roark | Annalu Waller
Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies

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A free and open-source tool that reads movie subtitles aloud
Peter Ljunglöf | Sandra Derbring | Maria Olsson
Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies

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Practical Parsing of Parallel Multiple Context-Free Grammars
Peter Ljunglöf
Proceedings of the 11th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+11)

2011

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Lekbot: A talking and playing robot for children with disabilities
Peter Ljunglöf | Britt Claesson | Ingrid Mattsson Müller | Stina Ericsson | Cajsa Ottesjö | Alexander Berman | Fredrik Kronlid
Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies

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Editing Syntax Trees on the Surface
Peter Ljunglöf
Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011)

2009

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SubTTS: Light-weight automatic reading of subtitles
Sandra Derbring | Peter Ljunglöf | Maria Olsson
Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA 2009)

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TRIK: A Talking and Drawing Robot for Children with Communication Disabilities
Peter Ljunglöf | Staffan Larsson | Katarina Heimann Mühlenbock | Gunilla Thunberg
Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA 2009)

2007

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Converting Grammatical Framework to Regulus
Peter Ljunglöf
Proceedings of the Workshop on Grammar-Based Approaches to Spoken Language Processing

2005

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Parsing Linear Context-Free Rewriting Systems
Håkan Burden | Peter Ljunglöf
Proceedings of the Ninth International Workshop on Parsing Technology

2000

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GoDiS- An Accommodating Dialogue System
Staffan Larsson | Peter Ljunglof | Robin Cooper | Elisabet Engdahl | Stina Ericsson
ANLP-NAACL 2000 Workshop: Conversational Systems