Computational complexity and learnability of two vowel harmony patterns with neutral vowels
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This paper investigates the relationship between the complexity of a phonological pattern and its learnability. The Complexity Hypothesis refers to the idea that less complex patterns are easier to learn than more complex patterns. In this paper, the hypothesis is tested as the Subregular Hypothesis, which measures computational complexity in terms of the Subregular Hierarchy. This hypothesis states that patterns in a lower class are less complex and thus easier to learn. Two artificial grammars of vowel harmony patterns with neutral vowels were tested. The two patterns differed in terms of the computational complexity and attestedness. The At Least One (ALO) pattern, the less complex pattern and the unattested vowel harmony pattern, is predicted to be easier to learn than the Rightmost pattern, the more complex pattern and the attested pattern. The results showed that the Rightmost pattern was more difficult to learn than the ALO pattern. This supports the Subregular Hypothesis and implies a learning bias toward computational complexity despite the attestedness of vowel harmony patterns.
Abstract
This paper investigates the relationship between the complexity of a phonological pattern and its learnability. The Complexity Hypothesis refers to the idea that less complex patterns are easier to learn than more complex patterns. In this paper, the hypothesis is tested as the Subregular Hypothesis, which measures computational complexity in terms of the Subregular Hierarchy. This hypothesis states that patterns in a lower class are less complex and thus easier to learn. Two artificial grammars of vowel harmony patterns with neutral vowels were tested. The two patterns differed in terms of the computational complexity and attestedness. The At Least One (ALO) pattern, the less complex pattern and the unattested vowel harmony pattern, is predicted to be easier to learn than the Rightmost pattern, the more complex pattern and the attested pattern. The results showed that the Rightmost pattern was more difficult to learn than the ALO pattern. This supports the Subregular Hypothesis and implies a learning bias toward computational complexity despite the attestedness of vowel harmony patterns.
참고문헌 (27)
- ARCHANGELI, DIANA, "The Cambridge Handbook of Phonology", pp.353~378 (2007), Cambridge University Press
- BAKOVIC, ERIC, "Harmony, Dominance and Control", PhD, pp.2000
- , 2014
- FINLEY, SARA, "Learning nonadjacent dependencies in phonology: Transparent vowels in vowel harmony", Language, 91, pp.48~72 (2015)
- FINLEY, SARA, "Linguistic and non-linguistic influences on learning biases for vowel harmony", Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp.706~711 (2010)
- HAYES, BRUCE, "Stochastic phonological knowledge: the case of Hungarian vowel harmony", Phonology, 23, pp.59~104 (2006)
- HAYES, BRUCE, "Natural and unnatural constraints in Hungarian vowel harmony", Language, 85, pp.822~863 (2009)
- HEINZ, JEFFREY, "Learning long-distance phonotactics", Linguistic Inquiry, 41, pp.623~661 (2010)
- HEINZ, JEFFREY, "Computational phonology - Part I: Foundations", Language and Linguistics Compass, 5, pp.140~152 (2011)
- HEINZ, JEFFREY, "Computational phonology - Part II: Grammars, learning, and the future", Language and Linguistics Compass, 5, pp.153~168 (2011)
- HEINZ, JEFFREY, "Phonological Typology", pp.126~195 (2018), De Gruyter Mouton
- HEINZ, JEFFREY, "Vowel harmony and subsequentiality", Proceedings of the 13th Meeting on the Mathematics of Language, pp.52~63 (2013)
- HEINZ, JEFFREY, "Tier-based strictly local constraints for phonology", Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp.49~58 (2011)
- HULST, HARRY VAN DER, "Advances in Nonlinear Phonology", pp.267~303 (1985), Foris
- HULST, HARRY VAN DER, "The Phonological Representation of Suprasegmentals", pp.233~281 (1986), Foris
- HYMAN, LARRY, "Nasal consonant harmony at a distance: The case of Yaka", Studies in African Linguistics, 24, pp.5~30 (1995)
- LAI, REGINE, "Domain Specificity in Learning Phonology", PhD, pp.2012
- LAI, REGINE, "Learnable vs. unlearnable harmony patterns", Linguistic Inquiry, 46, pp.425~451 (2015)
- MCNAUGHTON, ROBERT, "Counter-free Automata" (1971), MIT Press
- MORETON, ELLIOTT, "Structure and substance in artificialphonology learning, part I: Structure", Language and Linguistics Compass, 6, pp.686~701 (2012)
- NEVINS, ANDREW, "Locality in Vowel Harmony" (2009), MIT Press
- PYCHA, ANNE, "Phonological rule-learning and its implications for a theory of vowel harmony", Proceedings of the West Coast Conference on Formal Linguistics, pp.423~435 (2003)
- ROGERS, JAMES, "Cognitive and sub-regular complexity. Formal Grammar. FG2013, FG2012", Lecture Notes in Computer Science, 8036, pp.90~108 (2013)
- ROGERS, JAMES, "Aural pattern recognition Experiments and the Subregular Hierarchy", Journal of Logic, Language and Information, 20, pp.329~342 (2011)
- ROSE, SHARON, "A typology of consonant agreement as correspondence", Language, 80, pp.475~531 (2004)
- ROSE, SHARON, "The Handbook of Phonological Theory", pp.240~290 (2011), Blackwell Publishing Ltd
- SHEPARD, ROGER, "Learning and memorization of classifications", Psychological Monographs: General and Applied, 75, pp.1~42 (1961)