论文信息 - Phonological Reconstruction of a Dead Language Using the Gradual Learning Algorithm

Phonological Reconstruction of a Dead Language Using the Gradual Learning Algorithm

This paper discusses the reconstruction of the Elamite language's phonology from its orthography using the Gradual Learning Algorithm, which was re-purposed to "learn" underlying phonological forms from surface orthography. Practical issues are raised regarding the difficulty of mapping between orthography and phonology, and Optimality Theory's neglected Lexicon Optimization module is highlighted.

Eric Smith | Eric Smith

[1] Andrea Jeanine Heiberg,et al. Features in optimality theory: A computational model , 1999 .

[2] Armin Mester,et al. Licensing and Underspecication in Optimality Theory , 2008 .

[3] Grzegorz Kondrak,et al. A New Algorithm for the Alignment of Phonetic Sequences , 2000, ANLP.

[4] Bruce Tesar,et al. Computational optimality theory , 1996 .

[5] P. Boersma,et al. Empirical Tests of the Gradual Learning Algorithm , 2001, Linguistic Inquiry.

[6] Grzegorz Kondrak,et al. Evaluation of Several Phonetic Similarity Algorithms on the Task of Cognate Identification , 2006 .

[7] Richard Sproat,et al. Book Reviews: A Computational Theory of Writing Systems , 2006, CL.

[8] David W. McAlpin. Proto Elamo Dravidian: The Evidence and Its Implications , 1981 .

[9] Mark Liberman,et al. A formal framework for linguistic annotation , 1999, Speech Commun..

[10] Junko Ito,et al. Licensing and underspecification in optimality theory , 1995 .

[11] Richard Sproat. A Computational Theory of Writing Systems (Studies in Natural Language Processing) , 2006 .

[12] C. Roche,et al. Eléments de grammaire élamite , 1987 .

[13] P. Boersma. How we learn variation, optionality and probalility , 1997 .

[14] J. Stemberger,et al. Optimality Theory , 2003 .

[15] Armin Mester,et al. To appear in Linguistic Inquiry 26 . 4 NC : Licensing and Underspecification in Optimality Theory , 2022 .