A SYSTEM FOR NATURAL-LANGUAGE SENTENCE GENERATION

被引:4
|
作者
LEVISON, M [1 ]
LESSARD, G [1 ]
机构
[1] QUEENS UNIV,DEPT FRENCH STUDIES,KINGSTON K7L 3N6,ONTARIO,CANADA
来源
COMPUTERS AND THE HUMANITIES | 1992年 / 26卷 / 01期
关键词
NATURAL LANGUAGE GENERATION; LINGUISTIC MODELING; ATTRIBUTE GRAMMAR; APPLIED LINGUISTICS; LANGUAGE LEARNING;
D O I
10.1007/BF00114887
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper describes a natural language generation system known as VINCI, which accepts as input a formal description of some subset of a natural language, and generates strings in the language. With the help of an attribute grammar formalism, the system can be used to simulate on a computer components of several current linguistic theories. The program, implemented in C, runs under a variety of operating systems, including UNIX, MS-DOS and VM/CMS. In this paper we consider not only the design of the system, but also some of its applications in linguistic modelling and second language acquisition research.
引用
收藏
页码:43 / 58
页数:16
相关论文
共 50 条
  • [31] Natural Language Generation Model for Mammography Reports Simulation
    Hoogi, Assaf
    Mishra, Arjun
    Gimenez, Francisco
    Dong, Jeffrey
    Rubin, Daniel
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 24 (09) : 2711 - 2717
  • [32] A Review on Question Generation from Natural Language Text
    Zhang, Ruqing
    Guo, Jiafeng
    Chen, Lu
    Fan, Yixing
    Cheng, Xueqi
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 40 (01)
  • [33] Analysing the Influence of Semantic Knowledge in Natural Language Generation
    Barros, Cristina
    Lloret, Elena
    2017 TWELFTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM), 2017, : 185 - 190
  • [34] Frontiers: Supporting Content Marketing with Natural Language Generation
    Reisenbichler, Martin
    Reutterer, Thomas
    Schweidel, David A.
    Dan, Daniel
    MARKETING SCIENCE, 2022, 41 (03) : 441 - 452
  • [35] Natural Language Generation Using Sequential Models: A Survey
    Pandey, Abhishek Kumar
    Roy, Sanjiban Sekhar
    NEURAL PROCESSING LETTERS, 2023, 55 (06) : 7709 - 7742
  • [36] Study on Natural Language Generation for Spatial Information Representation
    Ren, Fu
    Du, Qingyun
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2008, : 213 - 216
  • [37] A Repository of Data and Evaluation Resources for Natural Language Generation
    Belz, Anja
    Gatt, Albert
    LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2012, : 4027 - 4032
  • [38] Natural language generation of negative sentences in the minimalist paradigm
    Xu, EQ
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 3744 - 3748
  • [39] Natural language generation for social robotics: opportunities and challenges
    Foster, Mary Ellen
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2019, 374 (1771)
  • [40] Natural Language Generation for Sponsored-Search Advertisements
    Bartz, Kevin
    Barr, Cory
    Aijaz, Adil
    EC'08: PROCEEDINGS OF THE 2008 ACM CONFERENCE ON ELECTRONIC COMMERCE, 2008, : 1 - 9