Results 311 to 320 of about 2,225,636 (373)

Domain-specific languages

36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003
A programming language is a notation for expressing computations (algorithms) in both machine and human readable form. Appropriate programming languages and tools may drastically reduce the cost of building new applications as well as maintaining existing ones.
J. Heering, M. Mernik, A.M. Sloane
openaire   +1 more source

Domain-general grit and domain-specific grit: conceptual structures, measurement, and associations with the achievement of German as a foreign language

International Review of Applied Linguistics in Language Teaching, 2023
The study examined the underlying structures, psychometric properties, and predictive validity of the following domain-general and domain-specific grit scales: The (L2) Grit Scales and the Long-term (L2) Grit Scales. Seven hundred German-as-a-FL learners
Chengchen Li, Yuan Yang
semanticscholar   +1 more source

Domain-specific engineering of domain-specific languages

Proceedings of the 10th Workshop on Domain-Specific Modeling, 2010
Domain-specific modelling (DSM) enables experts of arbitrary domains to perform modelling tasks using familiar constructs. This contrasts with common code-centric development approaches where programmers deal with object-oriented approximations of higher level concepts.
Raphael Mannadiar, Hans Vangheluwe
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Semantic Domain-specific Languages

2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019
A rationale for the introduction of semantic domain-specific languages (sDSL) is discussed from the point of view of problems faced by IT industry. Goals and technological approaches for the development of sDSL are described. As well as mathematical model and foundation for such a concept is presented.
Vitaly S. Gumirov, Peter Y. Matyukov, Dmitry E. Palchunov   +2 more
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Domain specific languages contextualized

Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment, 2011
Many software systems attempt to provide solutions to problems located in the real-world. Problem frames identify specific combinations, and interactions, of problems, real-world domains, and requirements. Domain-Specific Languages (DSL's) are exemplary in their ability to provide solutions to specific problem domains.
Michael H. Matthee, Stephen P. Levitt
openaire   +1 more source

On Domain-Specific Languages Reengineering

2005
Domain-specific languages (DSL) provides high-level functions making applications easier to write, and to maintain. Unfortunately, many applications are written from scratch and poorly documented, which make them hard to maintain. An ideal solution should be to rewrite them in a appropriate DSL.
Alias, Christophe, Barthou, Denis
openaire   +2 more sources

RAFT: Adapting Language Model to Domain Specific RAG

arXiv.org
Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private domain ...
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, M. Zaharia, Ion Stoica, Joseph Gonzalez   +6 more
semanticscholar   +1 more source

HIPAcc: A Domain-Specific Language and Compiler for Image Processing

IEEE Transactions on Parallel and Distributed Systems, 2016
Domain-specific languages (DSLs) provide high-level and domain-specific abstractions that allow expressive and concise algorithm descriptions. Since the description in a DSL hides also the properties of the target hardware, DSLs are a promising path to ...
Richard Membarth, Oliver Reiche, Frank Hannig, J. Teich, M. Körner, Wieland Eckert   +5 more
semanticscholar   +1 more source

Folding domain-specific languages

ACM SIGPLAN Notices, 2014
A domain-specific language can be implemented by embedding within a general-purpose host language. This embedding may be deep or shallow , depending on whether terms in the language construct syntactic or semantic representations.
Jeremy Gibbons, Nicolas Wu
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Fine-tuning Large Language Models for Domain-specific Machine Translation

arXiv.org
Large language models (LLMs) have shown great potential in domain-specific machine translation (MT). However, one major issue is that LLMs pre-trained on general domain corpus might not generalize well to specific domains due to the lack of domain ...
Jiawei Zheng, Hanghai Hong, Xiaoli Wang, Jingsong Su, Yonggui Liang, Shikai Wu   +5 more
semanticscholar   +1 more source