Relevant bibliographies by topics / Language modelling

Academic literature on the topic 'Language modelling'

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Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Language modelling"

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Taušan, Nebojša, Jouni Markkula, Pasi Kuvaja, and Markku Oivo. "Embedded Systems Specific Requirements for Choreography Modelling Language Design." International Journal of Information System Modeling and Design 7, no. 3 (July 2016): 115–36. http://dx.doi.org/10.4018/ijismd.2016070106.

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Software companies that develop embedded systems following the principles of service-oriented architecture can anticipate various benefits from choreography modelling. Current choreography modelling languages, however, have a limited applicability in embedded systems development since they are not expressive enough to capture all the choreography-relevant aspects that are typical in this domain. This problem is addressed in this study with the analysis of the needs in embedded systems domain for choreography modelling language. The analysis was guided by design science and relied on expert interviews, company-specific documents, relevant scientific literature and the experts' evaluation of the redesigned choreography modelling language. The main results of the analysis presented in this paper are a) design requirements addressing the limitations of choreography modelling languages for embedded systems development and b) proposals for modelling language implementation technologies. The derived design requirements indicate on choreography-relevant embedded systems development aspects such as the constraint-based access and real-time execution. Modelling language implementation technology proposals include Eclipse modelling framework and Sirius. The feasibility of these results is evaluated by redesigning an existing choreography modelling language based on the derived design requirements, implementing a prototype editor for the redesigned language and by evaluating the redesigned language with experts.
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Gu, Peihua. "pml: Product modelling language." Computers in Industry 18, no. 3 (January 1992): 265–77. http://dx.doi.org/10.1016/0166-3615(92)90030-q.

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Przepiórkowski, Adam. "Journal of Language Modelling." Journal of Language Modelling, no. 1 (December 18, 2012): 1. http://dx.doi.org/10.15398/jlm.v0i1.64.

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Aboutaleb, Hycham, and Bruno Monsuez. "A Higraph-Based Formalism for System Modelling Language ArKItect." International Journal of Modeling and Optimization 4, no. 3 (June 2014): 246–50. http://dx.doi.org/10.7763/ijmo.2014.v4.381.

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P., Dr Karrupusamy. "Analysis of Neural Network Based Language Modeling." March 2020 2, no. 1 (March 30, 2020): 53–63. http://dx.doi.org/10.36548/jaicn.2020.1.006.

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The fundamental and core process of the natural language processing is the language modelling usually referred as the statistical language modelling. The language modelling is also considered to be vital in the processing the natural languages as the other chores such as the completion of sentences, recognition of speech automatically, translations of the statistical machines, and generation of text and so on. The success of the viable natural language processing totally relies on the quality of the modelling of the language. In the previous spans the research field such as the linguistics, psychology, speech recognition, data compression, neuroscience, machine translation etc. As the neural network are the very good choices for having a quality language modelling the paper presents the analysis of neural networks in the modelling of the language. Utilizing some of the dataset such as the Penn Tree bank, Billion Word Benchmark and the Wiki Test the neural network models are evaluated on the basis of the word error rate, perplexity and the bilingual evaluation under study scores to identify the optimal model.
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P., Dr Karrupusamy. "Analysis of Neural Network Based Language Modeling." March 2020 2, no. 1 (March 30, 2020): 53–63. http://dx.doi.org/10.36548/jaicn.2020.3.006.

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The fundamental and core process of the natural language processing is the language modelling usually referred as the statistical language modelling. The language modelling is also considered to be vital in the processing the natural languages as the other chores such as the completion of sentences, recognition of speech automatically, translations of the statistical machines, and generation of text and so on. The success of the viable natural language processing totally relies on the quality of the modelling of the language. In the previous spans the research field such as the linguistics, psychology, speech recognition, data compression, neuroscience, machine translation etc. As the neural network are the very good choices for having a quality language modelling the paper presents the analysis of neural networks in the modelling of the language. Utilizing some of the dataset such as the Penn Tree bank, Billion Word Benchmark and the Wiki Test the neural network models are evaluated on the basis of the word error rate, perplexity and the bilingual evaluation under study scores to identify the optimal model.
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Markopoulos, Panos. "Modelling User Tasks with the Unified Modelling Language." IFAC Proceedings Volumes 34, no. 16 (September 2001): 29–34. http://dx.doi.org/10.1016/s1474-6670(17)41497-2.

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Shikali, Casper S., and Refuoe Mokhosi. "Enhancing African low-resource languages: Swahili data for language modelling." Data in Brief 31 (August 2020): 105951. http://dx.doi.org/10.1016/j.dib.2020.105951.

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Fillotrani, Pablo, and C. Maria Keet. "Evidence-based lean conceptual data modelling languages." Journal of Computer Science and Technology 21, no. 2 (October 21, 2021): e10. http://dx.doi.org/10.24215/16666038.21.e10.

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Multiple logic-based reconstructions of conceptual data modelling languages such as EER, UML Class Diagrams, and ORM exist. They mainly cover various fragments of the languages and none are formalised such that the logic applies simultaneously for all three modelling language families as unifying mechanism. This hampers interchangeability, interoperability, and tooling support. In addition, due to the lack of a systematic design process of the logic used for the formalisation, hidden choices permeate the formalisations that have rendered them incompatible. We aim to address these problems, first, by structuring the logic design process in a methodological way. We generalise and extend the DSL design process to apply to logic language design more generally and, in particular, by incorporating an ontological analysis of language features in the process. Second, we specify minimal logic profiles availing of this extended process, including the ontological commitments embedded in the languages, of evidence gathered of language feature usage, and of computational complexity insights from Description Logics (DL). The profiles characterise the essential logic structure needed to handle the semantics of conceptual models, therewith enabling the development of interoperability tools. There is no known DL language that matches exactly the features of thoseprofiles and the common core is small (in the tractable DL ALNI). Although hardly any inconsistencies can be derived with the profiles, it is promising for scalable runtime use of conceptual data models.
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Leuckert, S., and S. Buschfeld. "Modelling Spoken and Written Language." Anglistik 32, no. 2 (2021): 7–14. http://dx.doi.org/10.33675/angl/2021/2/4.

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Dissertations / Theses on the topic "Language modelling"

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Rajper, Noor Jehan. "VOML : virtual organization modelling language." Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/10942.

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Virtual organizations (VOs) and their breeding environments are an emerging approach for developing systems as a consortium of autonomous entities formed to share costs and resources, better respond to opportunities, achieve shorter time-to-market and exploit fast changing market opportunities. VOs cater for those demands by incorporating reconfigurations making VOs highly resilient and agile by design. Reconfiguration of systems is an active research area. Many policy and specification languages have been dedicated for the purpose. However, all these approaches consider reconfiguration of a system as somewhat isolated from its business and operational model; it is usually assumed that the latter two remain unaffected through such reconfigurations and the reconfiguration is usually limited to dynamic binding of components the system consists of. However the demands of VO reconfiguration go beyond dynamic binding and reach the level where it becomes crucial to keep changing the organizational structure (process model) of the system as well, which leads to changes of the operational/functional model. This continuous reconfiguration of the operational model emphasizes the need of a modelling language that allows specification and validation of such systems. This thesis approaches the problem of formal specification of VOs through the Virtual Organization Modelling Language (VOML) framework. The core of this framework are three languages each capturing a specific aspect. The first language named Virtual Organization Structural modelling language (VO-S), focuses on structural aspects and many of the characteristics particular to VOs such as relationship between the members expressed in domain terminology. The second language named VO Reconfiguration (VO-R for short), permits different reconfigurations on the structure of the VO. This language is an extension of APPEL for the domain of VOs. The third language named VO Operational modelling language (VO-O) describes the operational model of a VO in more details. This language is an adaptation and extension of the Sensoria Reference Modelling Language for service oriented architecture (SRML). Our framework models VOs using the VO-S and the VO-R which are at a high level of abstraction and independent of a specific computational model. Mapping rules provide guidelines to generate operational models, thus ensuring that the two models conform to each other. The usability and applicability of VOML is validated through two cases studies one of which offers travel itineraries as a VO service and is a running example. The other case study is an adaptation of a case study on developing a chemical plant from [14].
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Kent, Stuart John Harding. "Modelling events from natural language." Thesis, Imperial College London, 1993. http://kar.kent.ac.uk/21146/.

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Andersson, Jonathan. "Modelling and Evaluating the StreamBits language." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-652.

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This thesis concludes the evaluation of a new high level programming language for stream applications, StreamBits. The goal with the project is to evaluate the programmability, with the focus on expressing machine-independent parallelism and bit-level computations in StreamBits. As of now, the programming language is prototyped in a Java framework. This project also involves improvement and expansion of this framework.

An examination of the framework was conducted. The conclusions of this examination was the foundation of the changes implemented in the framework during the improvement and expansion part of this project. Evaluation experiments were done using the improved version of the framework. The evaluation was based on a comparison of programs implemented in StreamBits and another programming language typically used by industry for this kind of applications. The focus of the evaluation was to evaluate how well the new data-types and stream constructs of StreamBits can be used and expressed compared to other languages.

The results are partly the improvements and expansion of the framework, partly the results of the tests conducted during the evaluation. Results show that the new data-types and stream constructs of StreamBits are valuable additions to a stream programming language. The data-types and stream constructs assists the programmer to write source code that is not closely bound to a specific architecture.

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Sicilia, Garcia E. I. "A study in dynamic language modelling." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395213.

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Moore, Gareth Lewis. "Adaptive statistical class-based language modelling." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620315.

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Prochazka, Katharina, and Gero Vogl. "Modelling language shift in Carinthia, Austria." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-198527.

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Prochazka, Katharina, and Gero Vogl. "Modelling language shift in Carinthia, Austria." Diffusion fundamentals 24 (2015) 40, S. 1, 2015. https://ul.qucosa.de/id/qucosa%3A14557.

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Botting, Richard. "Iterative construction of data modelling language semantics." Thesis, Coventry University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362076.

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Bull, Susan. "Collaborative student modelling in foreign language learning." Thesis, University of Edinburgh, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496469.

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Fountain, Trevor Michael. "Modelling the acquisition of natural language categories." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7875.

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The ability to reason about categories and category membership is fundamental to human cognition, and as a result a considerable amount of research has explored the acquisition and modelling of categorical structure from a variety of perspectives. These range from feature norming studies involving adult participants (McRae et al. 2005) to long-term infant behavioural studies (Bornstein and Mash 2010) to modelling experiments involving artificial stimuli (Quinn 1987). In this thesis we focus on the task of natural language categorisation, modelling the cognitively plausible acquisition of semantic categories for nouns based on purely linguistic input. Focusing on natural language categories and linguistic input allows us to make use of the tools of distributional semantics to create high-quality representations of meaning in a fully unsupervised fashion, a property not commonly seen in traditional studies of categorisation. We explore how natural language categories can be represented using distributional models of semantics; we construct concept representations for corpora and evaluate their performance against psychological representations based on human-produced features, and show that distributional models can provide a high-quality substitute for equivalent feature representations. Having shown that corpus-based concept representations can be used to model category structure, we turn our focus to the task of modelling category acquisition and exploring how category structure evolves over time. We identify two key properties necessary for cognitive plausibility in a model of category acquisition, incrementality and non-parametricity, and construct a pair of models designed around these constraints. Both models are based on a graphical representation of semantics in which a category represents a densely connected subgraph. The first model identifies such subgraphs and uses these to extract a flat organisation of concepts into categories; the second uses a generative approach to identify implicit hierarchical structure and extract an hierarchical category organisation. We compare both models against existing methods of identifying category structure in corpora, and find that they outperform their counterparts on a variety of tasks. Furthermore, the incremental nature of our models allows us to predict the structure of categories during formation and thus to more accurately model category acquisition, a task to which batch-trained exemplar and prototype models are poorly suited.
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Books on the topic "Language modelling"

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Modelling language. Amsterdam: John Benjamins Publishing Company, 2013.

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Roberts, Phil. Modelling: The language of designing. Loughborough: Loughborough University of Technology. Department of Design and Technology, 1992.

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Hickey, Raymond, and Stanislav Puppel, eds. Language History and Linguistic Modelling. Berlin, New York: DE GRUYTER MOUTON, 1997. http://dx.doi.org/10.1515/9783110820751.

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Kenneth, Hyltenstam, and Pienemann Manfred 1951-, eds. Modelling and assessing second language acquisition. San Diego, Calif: College-Hill Press, 1985.

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Barry, O'Sullivan. Modelling performance in tests of spoken language. Frankfurt: Peter Lang, 2008.

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Davies, Ruth M. Simulation modelling with Pascal. New York: Prentice Hall, 1989.

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Jan, Lesley Wing. Write ways: Modelling writing forms. 3rd ed. South Melbourne, Vic: Oxford University Press, 2009.

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Write ways: Modelling writing forms. Oxford: OXFORD, 1991.

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Baar, Thomas, Alfred Strohmeier, Ana Moreira, and Stephen J. Mellor, eds. < > 2004 - The Unified Modeling Language. Modelling Languages and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b101232.

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Engel, Frits L., Don G. Bouwhuis, Tom Bösser, and Géry d’Ydewalle, eds. Cognitive Modelling and Interactive Environments in Language Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77575-8.

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Book chapters on the topic "Language modelling"

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Valmari, Antti, and Vesa Lappalainen. "Modelling Without a Modelling Language." In Model Checking Software, 308–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94111-0_18.

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O’Regan, Gerard. "Unified Modelling Language." In Introduction to Software Quality, 327–38. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06106-1_19.

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Gotoh, Yoshihiko, and Steve Renals. "Statistical Language Modelling." In Text- and Speech-Triggered Information Access, 78–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45115-0_4.

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O’Regan, Gerard. "Unified Modelling Language." In Undergraduate Topics in Computer Science, 205–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64021-1_11.

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O’Regan, Gerard. "Unified Modelling Language." In Undergraduate Topics in Computer Science, 225–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57750-0_14.

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O’Regan, Gerard. "Unified Modelling Language." In Undergraduate Topics in Computer Science, 313–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07816-3_18.

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Brimble, Richard, and Florence Sellini. "The MOKA Modelling Language." In Knowledge Engineering and Knowledge Management Methods, Models, and Tools, 49–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39967-4_4.

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Mauceč, Mirjam Sepesy, and Zdravko Kačič. "Topic-Sensitive Language Modelling." In Text, Speech and Dialogue, 253–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45323-7_43.

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de la Banda, Maria Garcia, Kim Marriott, Reza Rafeh, and Mark Wallace. "The Modelling Language Zinc." In Principles and Practice of Constraint Programming - CP 2006, 700–705. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11889205_54.

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Dathan, Brahma, and Sarnath Ramnath. "The Unified Modelling Language." In Undergraduate Topics in Computer Science, 427–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24280-4_13.

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Conference papers on the topic "Language modelling"

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Tamari, Ronen, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, and Dafna Shahaf. "Language (Re)modelling: Towards Embodied Language Understanding." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.559.

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Shareghi, Ehsan, Gholamreza Haffari, and Trevor Cohn. "Compressed Nonparametric Language Modelling." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/376.

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Hierarchical Pitman-Yor Process priors are compelling for learning language models, outperforming point-estimate based methods. However, these models remain unpopular due to computational and statistical inference issues, such as memory and time usage, as well as poor mixing of sampler. In this work we propose a novel framework which represents the HPYP model compactly using compressed suffix trees. Then, we develop an efficient approximate inference scheme in this framework that has a much lower memory footprint compared to full HPYP and is fast in the inference time. The experimental results illustrate that our model can be built on significantly larger datasets compared to previous HPYP models, while being several orders of magnitudes smaller, fast for training and inference, and outperforming the perplexity of the state-of-the-art Modified Kneser-Ney count-based LM smoothing by up to 15%.
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Lekkas, Andrea, Peter Schneider-Kamp, and Isabelle Augenstein. "Multi-sense Language Modelling." In Proceedings of the Workshop on Dimensions of Meaning: Distributional and Curated Semantics (DistCurate 2022). Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.distcurate-1.2.

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Zhao, Xuandong, Lei Li, and Yu-Xiang Wang. "Provably Confidential Language Modelling." In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.naacl-main.69.

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Whittaker, E. W. D., and P. C. Woodland. "Particle-based language modelling." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-42.

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Niu, Jingcheng, and Gerald Penn. "Grammaticality and Language Modelling." In Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.eval4nlp-1.11.

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ZHANG, MENGHAN, and TAO GONG. "MODELLING LANGUAGE COMPETITION WITHOUT PRESTIGE." In EVOLANG 10. WORLD SCIENTIFIC, 2014. http://dx.doi.org/10.1142/9789814603638_0145.

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Aimetti, Guillaume. "Modelling early language acquisition skills." In the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1609179.1609180.

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Azzopardi, L., M. Girolami, and C. J. van Rijsbergen. "User biased document language modelling." In the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009111.

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Rayner, Manny, Beth Ann Hockey, and John Dowding. "Grammar specialisation meets language modelling." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA: ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-306.

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Reports on the topic "Language modelling"

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Liu, X., Z. Chen, and S. E. Grasby. Using shallow temperature measurements to evaluate thermal flux anomalies in the southern Mount Meager volcanic area, British Columbia, Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330009.

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Geothermal is a clean and renewable energy resource. However, locating where elevated thermal gradient anomalies exist is a significant challenge when trying to assess potential resource volumes during early exploration of a prospective geothermal area. In this study, we deployed 22 temperature probes in the shallow subsurface along the south flank of the Mount Meager volcanic complex, to measure the transient temperature variation from September 2020 to August 2021. In our data analysis, a novel approach was developed to estimate the near-surface thermal distribution, and a workflow and code with python language have been completed for the thermal data pre-processing and analysis. The long-term temperature variation at different depths can be estimated by modelling, so that the relative difference of deducing deeper geothermal gradient anomalies can be assessed. Our proposed inversion and simulation methods were applied to calculating the temperature variation at 2.0 meters depth. The results identified a preferred high thermal flux anomalous zone in the south Mount Meager area. By combining with previous studies, the direct analysis and estimation of anomalous thermal fields based on the collected temperature data can provide a significant reference for interpretation of the regional thermal gradient variation.
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Davies, Will. Improving the engagement of UK armed forces overseas. Royal Institute of International Affairs, January 2022. http://dx.doi.org/10.55317/9781784135010.

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The UK government’s Integrated Review of security, defence, development and foreign policy, published in March 2021 alongside a supporting defence command paper, set a new course for UK national security and highlighted opportunities for an innovative approach to international engagement activity. The Integrated Review focused principally on the state threats posed by China’s increasing power and by competitors – including Russia – armed with nuclear, conventional and hybrid capabilities. It also stressed the continuing risks to global security and resilience due to conflict and instability in weakened and failed states. These threats have the potential to increase poverty and inequality, violent extremism, climate degradation and the forced displacement of people, while presenting authoritarian competitors with opportunities to enhance their geopolitical influence. There are moral, security and economic motives to foster durable peace in conflict-prone and weakened regions through a peacebuilding approach that promotes good governance, addresses the root causes of conflict and prevents violence, while denying opportunities to state competitors. The recent withdrawal from Afghanistan serves to emphasize the complexities and potential pitfalls associated with intervention operations in complex, unstable regions. Success in the future will require the full, sustained and coordinated integration of national, allied and regional levers of power underpinned by a sophisticated understanding of the operating environment. The UK armed forces, with their considerable resources and global network, will contribute to this effort through ‘persistent engagement’. This is a new approach to overseas operations below the threshold of conflict, designed as a pre-emptive complement to warfighting. To achieve this, the UK Ministry of Defence (MOD) must develop a capability that can operate effectively in weak, unstable and complex regions prone to violent conflict and crises, not least in the regions on the eastern and southern flanks of the Euro-Atlantic area. The first step must be the development of a cohort of military personnel with enhanced, tailored levels of knowledge, skills and experience. Engagement roles must be filled by operators with specialist knowledge, skills and experience forged beyond the mainstream discipline of combat and warfighting. Only then will individuals develop a genuinely sophisticated understanding of complex, politically driven and sensitive operating environments and be able to infuse the design and delivery of international activities with practical wisdom and insight. Engagement personnel need to be equipped with: An inherent understanding of the human and political dimensions of conflict, the underlying drivers such as inequality and scarcity, and the exacerbating factors such as climate change and migration; - A grounding in social sciences and conflict modelling in order to understand complex human terrain; - Regional expertise enabled by language skills, cultural intelligence and human networks; - Familiarity with a diverse range of partners, allies and local actors and their approaches; - Expertise in building partner capacity and applying defence capabilities to deliver stability and peace; - A grasp of emerging artificial intelligence technology as a tool to understand human terrain; - Reach and insight developed through ‘knowledge networks’ of external experts in academia, think-tanks and NGOs. Successful change will be dependent on strong and overt advocacy by the MOD’s senior leadership and a revised set of personnel policies and procedures for this cohort’s selection, education, training, career management, incentivization, sustainability and support.
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