Sep 08, 2020 · The book analyzes the frequencies and distributions of the phonemic sounds among languages. The results are based on UPSID (the UCLA Phonological Segment Inventory Database). 外部リンク. Ian Maddieson's Homepage; Ian Maddieson's Homepage at the University of Berkeley
distinctly useful as a phonetics or phonological database, but serves for quick-reference language typology, including general phonological information (Ethnologue: Languages of the World, 2016). UPSID . The UCLA Phonological Segment Inventory Database is a software database of the phonemic inventories of 451 languages.
The type involves the illegitimate absence of a segment that an implicational universal predicts should actually be present in the segment inventory of a language. A computer program retrieved 33 phonological peculiarities of this type in the UCLA Phonological Segment Inventory Database (UPSID), comprising 451 languages.
Phonological databases, tools, & corpora LAPSyD, the Lyon-Albuquerque Phonological Systems Database UPSID, an online version of the UCLA Phonological Segment Inventory Database South American Phonological Inventory Database, from UC Berkeley PHOIBLE Online - a repository of cross-linguistic phonological inventory data
加利福尼亞大學洛杉磯分校音段庫存數據庫（英語： UCLA Phonological Segment Inventory Database ），簡稱UPSID，是一個蒐集了451種語言 音素的數據庫。 該數據庫由美國 加利福尼亞大學洛杉磯分校 的 語音學家 伊恩‧馬迪森 （ 英语 ： Ian Maddieson ） 於1984年建立，並曾 ...
In the UCLA Phonological Segment Inventory Database (UPSID), a database that now contains 451 languages (Maddieson 1984, Maddieson & Precoda 1990) 921 different speech sounds occur. The language with the largest inventory of speech sounds in the database is!Xu (Snyman, 1970, 1975), a Khoisan language of Southwest Africa with 141 sounds, while ...
Sep 20, 2015 · UPSID (The UCLA Phonological Segment Inventory Database), compiled by Ian Maddieson, contains data on the phonological systems of 451 languages, with programs to access it: Link A simple user interface to the UPSID is available here:
_phoible-upsid : UPSID = UCLA Phonological Segment Inventory Database. Features derived from PHOIBLE's normalization of UPSID (Maddieson 1984, Maddieson and Precoda 1990). learned_ : 512-dimensional vectors learned by a neural network over data from 1017 languages, trained for typological prediction (Malaviya et al, 2017).
If you are citing phoneme inventory data for a particular language or languages, please use the name of the language as the title, and include the original data source as an element within PHOIBLE. For example: UCLA Phonological Segment Inventory Database. 2019. Lelemi sound inventory (UPSID). In: Moran, Steven & McCloy, Daniel (eds.) PHOIBLE 2.0.
in turn provided the database required to test for phonological universals. Specifically, such phonological investigations allowed Maddieson (1984, 1991) and Maddieson and Precoda (1990) to establish the UCLA Phonological Segment Inventory Database (UPSID), the most widely used database for typological and universal research in phonology.