Search results
Nov 24, 2023 · In this study, we consider four distinct datasets from published segment inventory collections with global scope: JIPA, LAPSyD, UPSID, and Phoible. We begin by presenting results for inventory size, which is a common metric of comparison in phonological typology and is frequently used by studies that make use of segment inventory data.
The library interfaces with several existing linguistic typology resources providing phonological segment inventories and their corresponding articulatory feature systems. Our first goal was to facilitate the derivation of articulatory features without giving a special preference to any particular phonological segment inventory provided by ...
People also ask
Which datasets are used in phonological typology of segment inventory?
What is upsid in phonological segment inventory database (phoible)?
Can phoneme inventories be compared across different datasets?
What is data-driven research in phonological typology?
Jul 7, 2023 · This type of data-driven research in phonological typology highlights how the testing of long standing theories can be relevant for debates on universal phonotactics. Their data and methodology also show the importance of openly accessible data and reproducible methods, models, and code. 3.2.3. Himmelmann.
the combined data set. I call this resource the Phonetics Information Base and Lexicon (PHOIBLE).1 PHOIBLE incorporates the segment inventories from the Stanford Phonology Archive (SPA; Crothers et al. 1979), the UCLA Phonological Segment Inventory Database (UPSID; Maddieson 1984, Maddieson &
This section provides new formalised definitions of two kinds of inventory gaps and proposes algorithms for their identification in datasets (Section 3.1). The results reported in the following sections were obtained using an IPA-feature-parser script and a fully parsed subset of PHOIBLE.
- Dmitry Nikolaev
- 2021
Mar 17, 2009 · This article gives an overview of the study of inventories and summarizes some of the major findings. Crosslinguistic comparison of inventories provides a window into the phonetic factors that shape languages, but also reflects non-linguistic factors.
FonBund wraps phonological segment inventories (and their corre-sponding unique feature systems). At present, PHOIBLE, PanPhon and PhonClassCounts (Dediu and Moisik, 2015) databases are supported and tested but the library is flex-ible enough to support other representations.
