An evaluation of n-gram correspondence models for transliteration detection

被引:0
|
作者
Department of Information Systems, SCIT, CoCIS, Makerere University, Kampala, Uganda [1 ]
机构
来源
关键词
D O I
10.1007/978-3-319-06764-3_79
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Bugram: Bug Detection with N-gram Language Models
    Wang, Song
    Chollak, Devin
    Movshovitz-Attias, Dana
    Tan, Lin
    [J]. 2016 31ST IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE), 2016, : 708 - 719
  • [2] On compressing n-gram language models
    Hirsimaki, Teemu
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3, 2007, : 949 - 952
  • [3] N-gram MalGAN:Evading machine learning detection via feature n-gram
    Enmin Zhu
    Jianjie Zhang
    Jijie Yan
    Kongyang Chen
    Chongzhi Gao
    [J]. Digital Communications and Networks, 2022, 8 (04) : 485 - 491
  • [4] N-gram MalGAN: Evading machine learning detection via feature n-gram
    Zhu, Enmin
    Zhang, Jianjie
    Yan, Jijie
    Chen, Kongyang
    Gao, Chongzhi
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (04) : 485 - 491
  • [5] Content Based Fake News Detection Using N-Gram Models
    Wynne, Hnin Ei
    Wint, Zar Zar
    [J]. IIWAS2019: THE 21ST INTERNATIONAL CONFERENCE ON INFORMATION INTEGRATION AND WEB-BASED APPLICATIONS & SERVICES, 2019, : 669 - 673
  • [6] Modelling crosslinguistic n-gram correspondence in typologically different languages
    Milicka, Jiri
    Cvrcek, Vaclav
    Lukesova, Lucie
    [J]. LANGUAGES IN CONTRAST, 2021, 21 (02) : 217 - 249
  • [7] Perplexity of n-Gram and Dependency Language Models
    Popel, Martin
    Marecek, David
    [J]. TEXT, SPEECH AND DIALOGUE, 2010, 6231 : 173 - 180
  • [8] MIXTURE OF MIXTURE N-GRAM LANGUAGE MODELS
    Sak, Hasim
    Allauzen, Cyril
    Nakajima, Kaisuke
    Beaufays, Francoise
    [J]. 2013 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING (ASRU), 2013, : 31 - 36
  • [9] n-gram Models for Video Semantic Indexing
    Inoue, Nakamasa
    Shinoda, Koichi
    [J]. PROCEEDINGS OF THE 2014 ACM CONFERENCE ON MULTIMEDIA (MM'14), 2014, : 777 - 780
  • [10] A quantitative approach for intrusions detection and prevention based on statistical n-gram models
    Boulaiche, Ammar
    Bouzayani, Hatem
    Adi, Kamel
    [J]. ANT 2012 AND MOBIWIS 2012, 2012, 10 : 450 - 457