Spoken language achieves robustness and evolvability by exploiting degeneracy and neutrality

被引:34
|
作者
Winter, Bodo [1 ]
机构
[1] Univ Calif Merced, Merced, CA 95343 USA
基金
美国国家科学基金会;
关键词
degeneracy; evolvability; language evolution; neutrality; robustness; VOICED-VOICELESS DISTINCTION; SPEECH-PERCEPTION; WORD BOUNDARIES; DURATION; CUE; INTELLIGIBILITY; COMPLEXITY; REDUNDANCY; FREQUENCY; NETWORKS;
D O I
10.1002/bies.201400028
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
As with biological systems, spoken languages are strikingly robust against perturbations. This paper shows that languages achieve robustness in a way that is highly similar to many biological systems. For example, speech sounds are encoded via multiple acoustically diverse, temporally distributed and functionally redundant cues, characteristics that bear similarities to what biologists call "degeneracy''. Speech is furthermore adequately characterized by neutrality, with many different tongue configurations leading to similar acoustic outputs, and different acoustic variants understood as the same by recipients. This highlights the presence of a large neutral network of acoustic neighbors for every speech sound. Such neutrality ensures that a steady backdrop of variation can be maintained without impeding communication, assuring that there is "fodder'' for subsequent evolution. Thus, studying linguistic robustness is not only important for understanding how linguistic systems maintain their functioning upon the background of noise, but also for understanding the preconditions for language evolution.
引用
收藏
页码:960 / 967
页数:8
相关论文
共 14 条
  • [1] Robustness, evolvability, and neutrality
    Wagner, A
    FEBS LETTERS, 2005, 579 (08) : 1772 - 1778
  • [2] Degeneracy: A design principle for achieving robustness and evolvability
    Whitacre, James
    Bender, Axel
    JOURNAL OF THEORETICAL BIOLOGY, 2010, 263 (01) : 143 - 153
  • [3] Degeneracy: a link between evolvability, robustness and complexity in biological systems
    Whitacre, James M.
    THEORETICAL BIOLOGY AND MEDICAL MODELLING, 2010, 7
  • [4] Exploiting semantic relations for a Spoken Language Understanding application
    Kobus, Catherine
    Damnati, Geraldine
    Delphin-Poulat, Lionel
    De Mori, Renato
    INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 1029 - +
  • [5] EXPLOITING THE SEMANTIC WEB FOR UNSUPERVISED SPOKEN LANGUAGE UNDERSTANDING
    Heck, Larry
    Hakkani-Tuer, Dilek
    2012 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY (SLT 2012), 2012, : 228 - 233
  • [6] Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
    Chang, Ya-Hsin
    Chen, Yun-Nung
    INTERSPEECH 2022, 2022, : 3458 - 3462
  • [7] PLASTICITY, ROBUSTNESS, AND LANGUAGE-DEVELOPMENT - AN INTRODUCTION TO RESEARCH ISSUES RELATING SIGN LANGUAGE AND SPOKEN LANGUAGE
    SIPLE, P
    MERRILL-PALMER QUARTERLY-JOURNAL OF DEVELOPMENTAL PSYCHOLOGY, 1985, 31 (02): : 117 - 126
  • [8] A spoken language understanding approach which combines the parsing robustness with the interpretation deepness
    Kurdi, MZ
    IC-AI'2001: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS I-III, 2001, : 1443 - 1449
  • [9] EXPLOITING QUERY CLICK LOGS FOR UTTERANCE DOMAIN DETECTION IN SPOKEN LANGUAGE UNDERSTANDING
    Hakkani-Tuer, Dilek
    Heck, Larry
    Tur, Gokhan
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 5636 - 5639
  • [10] Towards Unsupervised Spoken Language Understanding: Exploiting Query Click Logs for Slot Filling
    Tur, Gokhan
    Hakkani-Tuer, Dilek
    Hillard, Dustin
    Celikyilmaz, Asli
    12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 1300 - 1303