Suchergebnisse - Natural Language Processing—Language parsing and understanding

Understanding natural language using split-phrase tumbling-frequency phrase-chain parsing

Understanding natural language using tumbling-frequency phrase chain parsing

UNDERSTANDING NATURAL LANGUAGE USING SPLIT-PHRASE TUMBLING-FREQUENCY PHRASE-CHAIN PARSING

UNDERSTANDING NATURAL LANGUAGE USING TUMBLING-FREQUENCY PHRASE CHAIN PARSING

Towards Reliable and Efficient Natural Language Processing in Emergent Technologies †.

Autoren: Di Sciullo, Anna Maria

Quelle: Electronics (2079-9292); Aug2025, Vol. 14 Issue 15, p2922, 24p

Schlagwörter: NATURAL language processing, LANGUAGE models, REAL-time computing, COMPOSITIONALITY (Linguistics), GENERATIVE grammar, CHATGPT, HYPOTHESIS, ANAPHORA (Linguistics)

Realization of natural language interfaces using lazy functional programming

Autoren: Richard A. Frost The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Richard A. Frost The Pennsylvania State University CiteSeerX Archives

Quelle: http://cs.uwindsor.ca/~richard/PUBLICATIONS/NLI_LFP_SURVEY_DRAFT.pdf.

Schlagwörter: Processing—Language models, Language parsing and understanding, F.4.2 [Mathematical Logic and Formal Languages, Grammars and Other Rewriting Systems—Grammar types, Parsing, D.3.1 [Programming Languages, Formal Definitions and Theory—Semantics, Syntax, F.3.2 [Logics and Meanings of Programs, Semantics of Programming Languages—Denotational semantics, Partial evaluation, H.2.4 [Database Management, Systems—Query processing General Terms, Languages, Human factors Additional Key Words and Phrases, Natural-language interfaces, lazy functional programming, higher-order functions, computational linguistics, Montague grammar ACM Reference Format

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.6676; http://cs.uwindsor.ca/~richard/PUBLICATIONS/NLI_LFP_SURVEY_DRAFT.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.6676
http://cs.uwindsor.ca/~richard/PUBLICATIONS/NLI_LFP_SURVEY_DRAFT.pdf

Exploring the impact of artificial intelligence-enhanced language learning on youths' intercultural communication competence.

Autoren: Liu, Jie

Quelle: Humanities & Social Sciences Communications; 11/18/2025, Vol. 12 Issue 1, p1-23, 23p

Schlagwörter: ARTIFICIAL intelligence, CROSS-cultural communication, EMPIRICAL research, STUDENT engagement, COMMUNICATION models, DEEP learning, SECOND language acquisition, SPEECH perception

Automated question generation for Arabic language.

Autoren: Alhazaymeh, Rahaf A. Ali, Mostafa Z.

Quelle: Cluster Computing; Dec2025, Vol. 28 Issue 15, p1-21, 21p

Schlagwörter: ARABIC language, NATURAL language processing, TRANSFORMER models, EDUCATIONAL technology, DATA quality, QUESTION & answer websites

Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks.

Autoren: Kreikemeyer, Justin Noah Jankowski, Miłosz Wilsdorf, Pia et al.

Quelle: ACM Transactions on Modeling & Computer Simulation; Oct2025, Vol. 35 Issue 4, p1-27, 27p

Schlagwörter: SIMULATION methods & models, LANGUAGE models, DYNAMIC models, NATURAL language processing, MODELING languages (Computer science), QUANTITATIVE research

A hybrid architecture for enhancing Chinese text processing using CNN and LLaMA2.

Autoren: Liu, Xize Wang, Yiyi Niu, Nana et al.

Quelle: Scientific Reports; 7/9/2025, Vol. 15 Issue 1, p1-20, 20p

Schlagwörter: NATURAL language processing, CONVOLUTIONAL neural networks, TEXT processing (Computer science), MACHINE translating, SENTIMENT analysis, LANGUAGE models

A Framework for Resolution of Time in Natural Language

Autoren: Benjamin Han Alon Lavie The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Benjamin Han Alon Lavie The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.cmu.edu/~benhdj/Publications/./Published/TALIP_2004.pdf.

Schlagwörter: Categories and Subject Descriptors, I.2.4 [Artificial Intelligence, Knowledge Representation Formalisms and Methods---Representation languages, Representations (procedural and rule-based, I.2.7 [Artificial Intelligence, Natural Language Processing---Language parsing and understanding, Text analysis. General Terms, Languages, Design, Theory. Additional Key Words and Phrases, Temporal Information Processing, Temporal Reasoning, Computational Semantics, Knowledge Representation, Constraint Solving

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.2104; http://www.cs.cmu.edu/~benhdj/Publications/./Published/TALIP_2004.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.2104
http://www.cs.cmu.edu/~benhdj/Publications/./Published/TALIP_2004.pdf

Large Language Models and Human Cognition: An Optimistic Perspective.

Autoren: Blais, Antoine

Quelle: Journal of Cognitive Science; Mar2025, Vol. 26 Issue 1, p1-44, 44p

Schlagwörter: LANGUAGE models, COGNITION, NATURAL language processing, SOCIAL constructionism, CONSCIOUSNESS, INFORMATION processing, DEEP learning

Natural-language retrieval of images based on descriptive captions

Autoren: Eugene J. Guglielmo Neil C. Rowe The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Eugene J. Guglielmo Neil C. Rowe The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.nps.navy.mil/Content/CS/ncrowe/marie/gug_tois_96.pdf.

Schlagwörter: Categories and Subject Descriptors, H.3.1 [Information Storage and Retrieval, Content Analysis and Indexing—indexing methods, linguistic processing, H.3.3 [Information Storage and Retrieval, Information Search and Retrieval—query formulation, search process, selection process, I.2.4 [Artificial Intelligence, Knowledge Representation Formalisms and Methods—predicate logic, I.2.7 [Artificial Intelligence, Natural Language Processing—language parsing and understanding General Terms, Algorithms, Experimentation, Human Factors, Performance Additional Key Words and Phrases, Captions, multimedia database, type hierarchy

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.2693; http://www.nps.navy.mil/Content/CS/ncrowe/marie/gug_tois_96.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.2693
http://www.nps.navy.mil/Content/CS/ncrowe/marie/gug_tois_96.pdf

Deciphering the linguistic blueprint of DNA: context-sensitive structures, statistical patterns, and regulatory implications.

Autoren: Akhmetov, Iskander Saparov, Timur Duran, Volkan et al.

Quelle: Genomics & Informatics; 10/23/2025, Vol. 23 Issue 1, p1-14, 14p

Schlagwörter: DNA, LINGUISTICS, PHYLOGENY, GENETIC regulation, PHILOSOPHY of language, STATISTICAL correlation, NON-coding DNA

The advances in natural language processing technology and its impact on modern society.

Autoren: Borisova, Nadezhda Karashtranova, Elena Atanasova, Irena

Quelle: International Journal of Electrical & Computer Engineering (2088-8708); Apr2025, Vol. 15 Issue 2, p2325-2333, 9p

Schlagwörter: INFORMATION storage & retrieval systems, MACHINE translating, INTERNET content, ARTIFICIAL intelligence, MODERN society, NATURAL language processing

Natural Language Processing with Python : Master Text Processing, Language Modeling, and NLP Applications with Python's Powerful Tools

Autoren: Cuantum Technologies LLC

Resource Type: eBook.

Schlagworte: Computers, Language and languages, Natural language processing (Computer science), Algorithms, Artificial intelligence, Computer programming, Python (Computer program language), Electronic books

Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Programming / Algorithms, COMPUTERS / Languages / Python

Enhancing Geological Knowledge Engineering with Retrieval-Augmented Generation: A Case Study of the Qin–Hang Metallogenic Belt.

Autoren: Ma, Jianhua Zhou, Yongzhang He, Luhao et al.

Quelle: Minerals (2075-163X); Oct2025, Vol. 15 Issue 10, p1023, 21p

Schlagwörter: LANGUAGE models, MINES & mineral resources, GEOLOGY databases, DATABASES, QUESTION & answer websites, NATURAL language processing

Geografische Kategorien: SOUTHEAST China

Natural Language Processing—language parsing and understanding General Terms

Weitere Verfasser: The Pennsylvania State University CiteSeerX Archives

Quelle: http://mcneilllab.uchicago.edu/members/tsowa/publications/op226-sowa.pdf.

Schlagwörter: Algorithms, Experimentation, Languages, Theory Keywords multimodal integration

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.9238

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.9238
http://mcneilllab.uchicago.edu/members/tsowa/publications/op226-sowa.pdf

High-quality speech-to-speech translation for computer-aided language learning

Autoren: Chao Wang Stephanie Seneff The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Chao Wang Stephanie Seneff The Pennsylvania State University CiteSeerX Archives

Quelle: http://people.cs.pitt.edu/~litman/courses/slate/pdf/p1-wang.pdf.

Schlagwörter: Categories and Subject Descriptors, I.2.7 [Artificial Intelligence, Natural Language Processing—Language parsing and understanding, language generation, machine translation, K.3.1 [Computers and Education, Computer Uses in Education—Computer-assisted instruction General Terms, Algorithms, Experimentation, Languages Additional Key Words and Phrases, Speech translation, dialogue systems

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3978

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3978
http://people.cs.pitt.edu/~litman/courses/slate/pdf/p1-wang.pdf

SF-LM: A Neuro-Symbolic Language Model with Proto-Language Abstractions for Efficient and Faithful Text Generation

Autoren: Usai, Luigi

Schlagwörter: Neuro-Symbolic AI, Semantic Parsing, Computational Efficiency, Natural language processing, Text Generation, Proto-Language, Interpretability, Faithfulness, Language Models, Natural Language Processing, Language Generation, T5