A language model using variable length tokens for open-vocabulary Hangul text recognition

被引：1
|
作者：
Ryu, SH [1 ]
Kim, JH [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Div Comp Sci 373 1, Taejon 305701, South Korea
来源：
PATTERN RECOGNITION | 2004年 / 37卷 / 07期
关键词：
language model; character recognition; hangul recognition; open-vocabulary; word recognition;
D O I：
10.1016/j.patcog.2003.12.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a novel language model for Hangul text recognition. Without relying on prior linguistic knowledge in training, the proposed model learns variable length Hangul character sequences, which comprise the elementary tokens of Korean language, and their probabilities from statistics of a raw text corpus. Experiments in handwritten Hangul recognition shows that the proposed language model is effective in postprocessing of recognition results. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1549 / 1552
页数：4
相关论文
共 50 条
  • [1] Improving Open-Vocabulary Scene Text Recognition
    Feild, Jacqueline L.
    Learned-Miller, Erik G.
    2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2013, : 604 - 608
  • [2] A Hybrid Language Model for Open-Vocabulary Thai LVCSR
    Thangthai, Kwanchiva
    Chotimongkol, Ananlada
    Wutiwiwatchai, Chai
    14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5, 2013, : 2206 - 2210
  • [3] Open-vocabulary recognition of machine-printed Arabic text using hidden Markov models
    Ahmad, Irfan
    Mahmoud, Sabri A.
    Fink, Gernot A.
    PATTERN RECOGNITION, 2016, 51 : 97 - 111
  • [4] LLMFormer: Large Language Model for Open-Vocabulary Semantic Segmentation
    Shi, Hengcan
    Dao, Son Duy
    Cai, Jianfei
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2025, 133 (02) : 742 - 759
  • [5] LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
    Du, Penghui
    Wang, Yu
    Sung, Yifan
    Wang, Luting
    Li, Yue
    Zhang, Gang
    Ding, Errui
    Wang, Yan
    Wang, Jingdong
    Liu, Si
    COMPUTER VISION - ECCV 2024, PT XXIII, 2025, 15081 : 312 - 328
  • [6] Can Identifier Splitting Improve Open-Vocabulary Language Model of Code
    Shi, Jieke
    Yang, Zhou
    He, Junda
    Xu, Bowen
    Lo, David
    2022 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER 2022), 2022, : 1134 - 1138
  • [7] Open-Vocabulary Keyword Spotting With Audio And Text Embeddings
    Sacchi, Niccolo
    Nanchen, Alexandre
    Jaggi, Martin
    Cernak, Milos
    INTERSPEECH 2019, 2019, : 3362 - 3366
  • [8] Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
    Du, Yu
    Wei, Fangyun
    Zhang, Zihe
    Shi, Miaojing
    Gao, Yue
    Li, Guoqi
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2022, : 14064 - 14073
  • [9] OvarNet: Towards Open-vocabulary Object Attribute Recognition
    Chen, Keyan
    Jiang, Xiaolong
    Hu, Yao
    Tang, Xu
    Gao, Yan
    Chen, Jianqi
    Xie, Weidi
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 23518 - 23527
  • [10] A method for open-vocabulary speech-driven text retrieval
    Fujii, A
    Itou, K
    Ishikawa, T
    PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, 2002, : 188 - 195
12345