Computational Language Comprehension


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Computational Language Comprehension


Computational Language Comprehension

Author: Klaus Heje Munch

language: en

Publisher:

Release Date: 1987


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The Handbook of Computational Linguistics and Natural Language Processing


The Handbook of Computational Linguistics and Natural Language Processing

Author: Alexander Clark

language: en

Publisher: John Wiley & Sons

Release Date: 2013-04-24


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This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies

Natural Language Processing and Chinese Computing


Natural Language Processing and Chinese Computing

Author: Fei Liu

language: en

Publisher: Springer Nature

Release Date: 2023-10-07


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This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The 143 regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.