| 11. |
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| 12. |
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| 13. |
- Derbring, Sandra, et al.
(författare)
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SubTTS: Light-weight automatic reading of subtitles
- 2009
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Ingår i: Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. - 1736-6305.
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Konferensbidrag (refereegranskat)abstract
- We present a simple tool that enables the computer to read subtitles of movies and TV shows aloud. The tool works by reading subtitle files, which can be freely downloaded or extracted from a DVD using existing tools, and read the text aloud through a speech synthesizer. The target audience are people who have trouble reading subtitles while watching a movie, for example people with visual impairments and people with reading difficulties, such as dyslexia. The application will be evaluated together with user from these groups to see if this could be an accepted solution to their need.
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| 14. |
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| 15. |
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| 16. |
- Lange, Herbert, 1987, et al.
(författare)
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Demonstrating the MUSTE Language Learning Environment
- 2018
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Ingår i: NLP4CALL 2018, the 7th Workshop on NLP for Computer Assisted Language Learning, Stockholm, 7th November 2018; published as issue 152 of Linköping Electronic Conference Proceedings. - Linköping : Linköping University Electronic Press, Linköpings universitet. - 1650-3686 .- 1650-3740. - 9789176851739
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Konferensbidrag (refereegranskat)abstract
- We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability. Currently the application aims to augment existing language classes and support students by improving the learner attitude and the general learning outcome. Extensions beyond that scope are promising and likely to be added in the future.
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| 17. |
- Lange, Herbert, 1987, et al.
(författare)
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Learning domain-specific grammars from a small number of examples
- 2020
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Ingår i: ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. - : SCITEPRESS - Science and Technology Publications. ; 1, s. 422-430
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Konferensbidrag (refereegranskat)abstract
- In this paper we investigate the problem of grammar inference from a different perspective. The common approach is to try to infer a grammar directly from example sentences, which either requires a large training set or suffers from bad accuracy. We instead view it as a problem of grammar restriction or sub-grammar extraction. We start from a large-scale resource grammar and a small number of examples, and find a subgrammar that still covers all the examples. To do this we formulate the problem as a constraint satisfaction problem, and use an existing constraint solver to find the optimal grammar. We have made experiments with English, Finnish, German, Swedish and Spanish, which show that 10–20 examples are often sufficient to learn an interesting domain grammar. Possible applications include computer-assisted language learning, domain-specific dialogue systems, computer games, Q/A-systems, and others.
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| 18. |
- Lange, Herbert, 1987, et al.
(författare)
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Learning Domain-Specific Grammars from a Small Number of Examples
- 2021
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Ingår i: Studies in Computational Intelligence. - Cham : Springer International Publishing. - 1860-9503 .- 1860-949X. - 9783030637873 ; 939, s. 105-138
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Konferensbidrag (refereegranskat)abstract
- In this chapter we investigate the problem of grammar learning from a perspective that diverges from previous approaches. These prevailing approaches to learning grammars usually attempt to infer a grammar directly from example corpora without any additional information. This either requires a large training set or suffers from bad accuracy. We instead view learning grammars as a problem of grammar restriction or subgrammar extraction. We start from a large-scale grammar (called a resource grammar) and a small number of example sentences, and find a subgrammar that still covers all the examples. To accomplish this, we formulate the problem as a constraint satisfaction problem, and use a constraint solver to find the optimal grammar. We created experiments with English, Finnish, German, Swedish, and Spanish, which show that 10–20 examples are often sufficient to learn an interesting grammar for a specific application. We also present two extensions to this basic method: we include negative examples and allow rules to be merged. The resulting grammars can more precisely cover specific linguistic phenomena. Our method, together with the extensions, can be used to provide a grammar learning system for specific applications. This system is easy-to-use, human-centric, and can be used by non-syntacticians. Based on this grammar learning method, we can build applications for computer-assisted language learning and interlingual communication, which rely heavily on the knowledge of language and domain experts who often lack the competence to develop required grammars themselves.
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| 19. |
- Lange, Herbert, 1987, et al.
(författare)
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MULLE: A grammar-based Latin language learning tool to supplement the classroom setting
- 2018
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Ingår i: NLPTEA 2018, the 5th Workshop on Natural Language Processing Techniques for Educational Applications, Melbourne, Australia, 19th July 2018. - Melbourne, Australia : Association for Computational Linguistics.
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Konferensbidrag (refereegranskat)abstract
- 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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| 20. |
- Lange, Herbert, 1987, et al.
(författare)
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Putting Control into Language Learning
- 2018
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Ingår i: CNL 2018, the 6th International Workshop on Controlled Natural Language, Maynooth, Co Kildare, 27-28th August 2018; published as volume 304 of Frontiers in Artificial Intelligence and Applications. - Amsterdam : IOS Press. - 0922-6389. - 9781614999041
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Konferensbidrag (refereegranskat)abstract
- Controlled Natural Languages (CNLs) have many applications including document authoring, automatic reasoning on texts and reliable machine translation, but their application is not limited to these areas. We explore a new application area of CNLs, the use of CNLs in computer-assisted language learning. In this paper we present a a web application for language learning using CNLs as well as a detailed description of the properties of the family of CNLs it uses.
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