Relevant bibliographies by topics / Natural controlled languages

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Natural controlled languages'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Natural controlled languages"

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Kuhn, Tobias. "A Survey and Classification of Controlled Natural Languages." Computational Linguistics 40, no. 1 (2014): 121–70. http://dx.doi.org/10.1162/coli_a_00168.

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What is here called controlled natural language (CNL) has traditionally been given many different names. Especially during the last four decades, a wide variety of such languages have been designed. They are applied to improve communication among humans, to improve translation, or to provide natural and intuitive representations for formal notations. Despite the apparent differences, it seems sensible to put all these languages under the same umbrella. To bring order to the variety of languages, a general classification scheme is presented here. A comprehensive survey of existing English-based
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Davis, Brian, Pradeep Dantuluri, Siegfried Handschuh, and Hamish Cunningham. "Towards Controlled Natural Language for Semantic Annotation." International Journal on Semantic Web and Information Systems 6, no. 4 (2010): 64–91. http://dx.doi.org/10.4018/jswis.2010100103.

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Richly interlinked metadata constitute the foundation of the Semantic Web. Manual semantic annotation is a labor intensive task requiring training in formal ontological descriptions for the otherwise non-expert user. Although automatic annotation tools attempt to ease this knowledge acquisition barrier, their development often requires access to specialists in Natural Language Processing (NLP). This challenges researchers to develop user-friendly annotation environments. Controlled Natural Languages (CNLs) offer an incentive to the novice user to annotate, while simultaneously authoring his/he
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Kuhn, Tobias. "A Principled Approach to Grammars for Controlled Natural Languages and Predictive Editors." Journal of Logic, Language and Information 22, no. 1 (2013): 33–70. http://dx.doi.org/10.1007/s10849-012-9167-z.

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Bohn, Manuel, Gregor Kachel, and Michael Tomasello. "Young children spontaneously recreate core properties of language in a new modality." Proceedings of the National Academy of Sciences 116, no. 51 (2019): 26072–77. http://dx.doi.org/10.1073/pnas.1904871116.

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How the world’s 6,000+ natural languages have arisen is mostly unknown. Yet, new sign languages have emerged recently among deaf people brought together in a community, offering insights into the dynamics of language evolution. However, documenting the emergence of these languages has mostly consisted of studying the end product; the process by which ad hoc signs are transformed into a structured communication system has not been directly observed. Here we show how young children create new communication systems that exhibit core features of natural languages in less than 30 min. In a controll
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Mészáros, Tamás, and Margit Kiss. "Knowledge Acquisition from Critical Annotations." Information 9, no. 7 (2018): 179. http://dx.doi.org/10.3390/info9070179.

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Critical annotations are important knowledge sources when researching one’s oeuvre. They describe literary, historical, cultural, linguistic and other kinds of information written in natural languages. Acquiring knowledge from these notes is a complex task due to the limited natural language understanding capability of computerized tools. The aim of the research was to extract knowledge from existing annotations, and to develop new authoring methods to facilitate the knowledge acquisition. After structural and semantic analysis of critical annotations, authors developed a software tool that tr
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Androutsopoulos, I., G. Lampouras, and D. Galanis. "Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System." Journal of Artificial Intelligence Research 48 (November 22, 2013): 671–715. http://dx.doi.org/10.1613/jair.4017.

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We present NaturalOWL, a natural language generation system that produces texts describing individuals or classes of OWL ontologies. Unlike simpler OWL verbalizers, which typically express a single axiom at a time in controlled, often not entirely fluent natural language primarily for the benefit of domain experts, we aim to generate fluent and coherent multi-sentence texts for end-users. With a system like NaturalOWL, one can publish information in OWL on the Web, along with automatically produced corresponding texts in multiple languages, making the information accessible not only to compute
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Ranta, Aarne, Krasimir Angelov, Normunds Gruzitis, and Prasanth Kolachina. "Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines." Computational Linguistics 46, no. 2 (2020): 425–86. http://dx.doi.org/10.1162/coli_a_00378.

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Abstract syntax is an interlingual representation used in compilers. Grammatical Framework (GF) applies the abstract syntax idea to natural languages. The development of GF started in 1998, first as a tool for controlled language implementations, where it has gained an established position in both academic and commercial projects. GF provides grammar resources for over 40 languages, enabling accurate generation and translation, as well as grammar engineering tools and components for mobile and Web applications. On the research side, the focus in the last ten years has been on scaling up GF to
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Lim, Shin Huei, and Terry Halpin. "Automated Verbalization of ORM Models in Malay and Mandarin." International Journal of Information System Modeling and Design 7, no. 4 (2016): 1–16. http://dx.doi.org/10.4018/ijismd.2016100101.

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Fact-oriented modeling approaches such as Object-Role Modeling (ORM) include a rich graphical notation for capturing business constraints, allowing modelers to visualize fine details of their data models. These data models should be validated with domain experts who best understand the business requirements, even if unfamiliar with the graphical notation. Hence, the data models are best validated by verbalizing the models in a controlled natural language, and by populating the relevant fact types with examples. Comparatively little support exists for verbalizing fact-based models in non-Englis
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Rowley, Jennifer. "The controlled versus natural indexing languages debate revisited: a perspective on information retrieval practice and research." Journal of Information Science 20, no. 2 (1994): 108–18. http://dx.doi.org/10.1177/016555159402000204.

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Slobin, Dan I., Iraide Ibarretxe-Antuñano, Anetta Kopecka, and Asifa Majid. "Manners of human gait: a crosslinguistic event-naming study." Cognitive Linguistics 25, no. 4 (2014): 701–41. http://dx.doi.org/10.1515/cog-2014-0061.

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AbstractCrosslinguistic studies of expressions of motion events have found that Talmy's binary typology of verb-framed and satellite-framed languages is reflected in language use. In particular, Manner of motion is relatively more elaborated in satellite-framed languages (e.g., in narrative, picture description, conversation, translation). The present research builds on previous controlled studies of the domain of human motion by eliciting descriptions of a wide range of manners of walking and running filmed in natural circumstances. Descriptions were elicited from speakers of two satellite-fr
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Dissertations / Theses on the topic "Natural controlled languages"

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Cobe, Raphael Mendes de Oliveira. "Model-Driven requirements engineering process aided by ontologies and natural controlled languages." Universidade Federal do Rio Grande do Norte, 2009. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18001.

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Made available in DSpace on 2014-12-17T15:47:51Z (GMT). No. of bitstreams: 1 RaphaelMOCpdf.pdf: 3833849 bytes, checksum: fc73f8956766c49a68d58575132da8f2 (MD5) Previous issue date: 2009-06-29<br>Researches in Requirements Engineering have been growing in the latest few years. Researchers are concerned with a set of open issues such as: communication between several user profiles involved in software engineering; scope definition; volatility and traceability issues. To cope with these issues a set of works are concentrated in (i) defining processes to collect client s specifications in order
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Denaux, Ronald. "Intuitive ontology authoring using controlled natural language." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/4446/.

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Ontologies have been proposed and studied in the last couple of decades as a way to capture and share people's knowledge about the world in a way that is processable by computer systems. Ontologies have the potential to serve as a bridge between the human conceptual understanding of the world and the data produced, processed and stored in computer systems. However, ontologies so far have failed to gather widespread adoption, failing to realise the original vision of the semantic web as a next generation of the world wide web: where everyone would be able to contribute and interlink their data
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Dellis, Nelson Charles. "Using Controlled Natural Language for World Knowledge Reasoning." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_theses/48.

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Search engines are the most popular tools for finding answers to questions, but unfortunately they do not always provide complete direct answers. Answers often need to be extracted by the user, from the web pages returned by the search engine. This research addresses this problem, and shows how an automated theorem prover, combined with existing ontologies and the web, is able to reason about world knowledge and return direct answers to users' questions. The use of an automated theorem prover also allows more complex questions to be asked. Automated theorem provers that exhibit these capabilit
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Shi, Leilei. "Authoring access control policies with controlled natural language." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590001.

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This thesis is based on the research carried out under the EPSRC-funded EEAP project and the EC-funded TAS3 project. The research aimed to develop a technique enabling users to write access control policies in natural language. One of the main intentions of the research was to help non- technical users overcome the difficulty of understanding the security policy authoring within computer languages. Policies are relatively easy for humans to specify in natural language, but are much more difficult for them to specify in computer based languages e.g. XML. Consequently humans usually need some so
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HORI, Érica Aguiar Andrade. "ucsCNL A controlled natural language for use case specifications." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2393.

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Made available in DSpace on 2014-06-12T15:57:41Z (GMT). No. of bitstreams: 2 arquivo3220_1.pdf: 1307302 bytes, checksum: 42435c33fd14be36778e3c202d24fd2d (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>A maioria das empresas utiliza a linguagem natural livre para documentar software, desde os seus requisitos, até os casos de uso e testes usados para verificar o produto final. Visto que as fases de análise, projeto, implementação e teste do sistema dependem essencialmente dessa documentação, é preciso assegurar inicialmente a
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BARZA, Sérgio. "Model checking requirements written in a controlled natural language." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/19519.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-07-12T13:26:23Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) SergioBarzaDissertation.pdf: 2147656 bytes, checksum: 5c75fe2262be1d224538c1ad6a575ebb (MD5)<br>Made available in DSpace on 2017-07-12T13:26:23Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) SergioBarzaDissertation.pdf: 2147656 bytes, checksum: 5c75fe2262be1d224538c1ad6a575ebb (MD5) Previous issue date: 2016-02-25<br>Software Maintainability (SM) h
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Cramer, Marcos [Verfasser]. "Proof-checking mathematical texts in controlled natural language / Marcos Cramer." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1045276626/34.

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Ye, Patrick. "Nautral language understanding in controlled virtual environments /." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/4756.

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Johansson, Hillevi Lundquist Catherine. "Kontrollerad vokabulär eller naturligt språk? : en empirisk studie= [Controlled vocabulary or natural language?] : [an empirical study] /." Borås : Högsk. i Borås, Bibliotekshögskolan/Biblioteks- och informationsvetenskap, 2004. http://www.hb.se/bhs/slutversioner/2004/04-20.pdf.

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Lucantonio, Valerio. "Enanching the consistency between requirements and test cases through the definition of a Controlled Natural Language." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28404.

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Requirements and testing engineering build up the solid base for developing successful software projects. In particular along the development process, testing follows and relies on requirements engineering: an incoherent specification of one of the two can affect the correctness of a project resulting in delays, failures, unhappy customers and other consequences on the project delivery.Especially nowadays software companies are competing in fast changing markets where the delivery time of the products is the most crucial aspect and it really affects the quality and the success of the product.
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Books on the topic "Natural controlled languages"

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E, Fuchs Norbert, and SpringerLink (Online service), eds. Controlled Natural Language: Third International Workshop, CNL 2012, Zurich, Switzerland, August 29-31, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Davis, Brian, Kaarel Kaljurand, and Tobias Kuhn, eds. Controlled Natural Language. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10223-8.

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Kuhn, Tobias, and Norbert E. Fuchs, eds. Controlled Natural Language. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32612-7.

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Rosner, Michael, and Norbert E. Fuchs, eds. Controlled Natural Language. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31175-8.

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Fuchs, Norbert E., ed. Controlled Natural Language. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9.

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Davis, Brian, Gordon J. Pace, and Adam Wyner, eds. Controlled Natural Language. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41498-0.

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E, Fuchs Norbert, and SpringerLink (Online service), eds. Controlled Natural Language: Second International Workshop, CNL 2010, Marettimo Island, Italy, September 13-15, 2010. Revised Papers. Springer Berlin Heidelberg, 2012.

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Workshop on Controlled Natural Language (2009 Marettimo Island, Italy). Controlled natural language: Workshop on Controlled Natural Language, CNL 2009, Marettimo Island, Italy, June 8-10, 2009 : revised papers. Springer-Verlag, 2010.

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Selden, Catherine. Unified Medical Language System (UMLS): January 1986 through December 1996 : 280 selected citations. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section, 1997.

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Making things talk. Maker Media, 2017.

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Book chapters on the topic "Natural controlled languages"

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Potter, Andrew. "Rhetorical Compositions for Controlled Natural Languages." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9_2.

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Kuhn, Tobias. "An Evaluation Framework for Controlled Natural Languages." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9_1.

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Wyner, Adam, Krasimir Angelov, Guntis Barzdins, et al. "On Controlled Natural Languages: Properties and Prospects." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9_17.

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Hurst, Matthew F. "Parsing for targeted errors in controlled languages." In Recent Advances in Natural Language Processing. John Benjamins Publishing Company, 1997. http://dx.doi.org/10.1075/cilt.136.07hur.

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Davis, Brian, Pradeep Dantuluri, Laura Dragan, Siegfried Handschuh, and Hamish Cunningham. "On Designing Controlled Natural Languages for Semantic Annotation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9_12.

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Lenzini, Gabriele, and Marinella Petrocchi. "Modelling of Railway Signalling System Requirements by Controlled Natural Languages: A Case Study." In From Software Engineering to Formal Methods and Tools, and Back. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30985-5_29.

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Saulwick, Adam. "Lexpresso: A Controlled Natural Language." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10223-8_12.

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Davis, Brian, Gordon J. Pace, and Adam Wyner. "Erratum to: Controlled Natural Language." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41498-0_12.

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Paiva, Daniel S., and Roger Evans. "A Framework for Stylistically Controlled Generation." In Natural Language Generation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27823-8_13.

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Spreeuwenberg, Silvie, and Keri Anderson Healy. "SBVR’s Approach to Controlled Natural Language." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14418-9_10.

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Conference papers on the topic "Natural controlled languages"

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Kirk, Nicholas H., Daniel Nyga, and Michael Beetz. "Controlled Natural Languages for language generation in artificial cognition." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907843.

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Mészáros, Tamás, and Tadeusz Dobrowiecki. "Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages." In 9th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006205306320639.

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Schröder, Sandra, and Georg Buchgeher. "Applicability of controlled natural languages for architecture analysis and documentation." In the 13th European Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3344948.3344981.

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Vasiliev, Alexander, Farid Ablayev, Sergey Andrianov, Natalia Andrianova, and Alexey Kalachev. "Multi-qubit controlled NOT gates for artificial intelligence natural languages processing." In The International Conference on Micro- and Nano-Electronics 2018, edited by Vladimir F. Lukichev and Konstantin V. Rudenko. SPIE, 2019. http://dx.doi.org/10.1117/12.2522447.

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Lu, Ruqian. "Pseudo natural language vs. controlled natural language." In 2010 4th International Universal Communication Symposium (IUCS). IEEE, 2010. http://dx.doi.org/10.1109/iucs.2010.5666780.

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Mueckstein, Eva-Martin. "Controlled natural language interfaces (extended abstract)." In the 1985 ACM thirteenth annual conference. ACM Press, 1985. http://dx.doi.org/10.1145/320599.320672.

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Mueller, Stephan H., Jens Krueger, Jan Schaner, Christian Tinnefeld, and Alexander Zeier. "Controlled natural language for information integration." In EM). IEEE, 2009. http://dx.doi.org/10.1109/icieem.2009.5344496.

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Cheng, Yu, Jiatong Bao, Yunyi Jia, et al. "Modeling Natural Language Controlled Robotic Operations." In 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2017. http://dx.doi.org/10.1109/cyber.2017.8446270.

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Schwitter, R. "Dynamic semantics for a controlled natural language." In Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dexa.2004.1333447.

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Nelken, Rani, and Nissim Francez. "Querying temporal databases using controlled natural language." In the 18th conference. Association for Computational Linguistics, 2000. http://dx.doi.org/10.3115/992730.992808.

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