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Conference Paper

Defining and counting phonological classes in cross-linguistic segment databases

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Dediu,  Dan
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

Moisik,  Scott
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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http://www.lrec-conf.org/proceedings/lrec2016/summaries/151.html
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Dediu_Moisik_LREC_2016_151_Paper.pdf
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Citation

Dediu, D., & Moisik, S. (2016). Defining and counting phonological classes in cross-linguistic segment databases. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, et al. (Eds.), Proceedings of LREC 2016: 10th International Conference on Language Resources and Evaluation (pp. 1955-1962). Paris: European Language Resources Association (ELRA).


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-1CFB-E
Abstract
Recently, there has been an explosion in the availability of large, good-quality cross-linguistic databases such as WALS (Dryer & Haspelmath, 2013), Glottolog (Hammarstrom et al., 2015) and Phoible (Moran & McCloy, 2014). Databases such as Phoible contain the actual segments used by various languages as they are given in the primary language descriptions. However, this segment-level representation cannot be used directly for analyses that require generalizations over classes of segments that share theoretically interesting features. Here we present a method and the associated R (R Core Team, 2014) code that allows the exible denition of such meaningful classes and that can identify the sets of segments falling into such a class for any language inventory. The method and its results are important for those interested in exploring cross-linguistic patterns of phonetic and phonological diversity and their relationship to extra-linguistic factors and processes such as climate, economics, history or human genetics.