Results 231 to 240 of about 949 (276)

Numeral classifiers in Kazakh

Asian Languages and Linguistics, 2022
Abstract Many languages distinguish numeral classifiers in their grammar systems categorizing nominals in terms of their inherent nature, such as animacy, shape, form, and arrangement. Kazakh, a Turkic language of Central Asia, distinguishes numeral classifiers, which are used in numeral classifier constructions consisting of a numeral, a numeral ...
Uldanay Jumabay, Irina Nevskaya, Saule Tazhibayeva   +2 more
openaire   +1 more source

Contact-induced reduction, loss, and emergence of numeral classifiers

Current Issues in Linguistic Theory, 2023
International audienceThis paper examines contact-induced change in numeral classifier systems based on two case studies of East Asian languages. Study 1 investigates contact-induced loss and emergence of numeral classifiers in different languages of the
Di Garbo, Francesca, Sandman, Erika
exaly   +2 more sources

Functions of gender and numeral classifiers in Nepali

Poznan Studies in Contemporary Linguistics, 2020
International audienceWe examine the complex nominal classification system in Nepali (Indo-European, Indic), a language spoken at the intersection of the Indo-European and Sino-Tibetan language families, which are usually associated with prototypical ...
Marc Allassonnière-Tang, Marcin Kilarski   +1 more
exaly   +2 more sources

Slavic aspectual prefixes and numeral classifiers: Two kinds of lexico-grammatical unitizers [PDF]

Lingua, 2015
What do Slavic aspectual prefixes have in common with numeral classifiers? Our answer is that the parallels are compelling, both in terms of breadth and depth.
Stephen M Dickey, Laura A Janda
exaly   +2 more sources

Numeral classifiers in Munya, a Tibeto-Burman language

, 2019
The topic of the chapter is Munya, a Tibeto-Burman language spoken in the western part of Sichuan Province, China. Classifiers in Munya include numeral classifiers and verbal action classifiers. There are two sets of numerals in Munya, a native set and a
Bai, Junwei, Junwei Bai
exaly   +2 more sources

Classifiers before numerals

Linguistics of the Tibeto-Burman Area, 2022
AbstractLanguages with sortal classifiers (clf) are distributed across the world, with a large concentration in East and South (east) Asia. Across the world’s classifier languages, few are attested which order classifiers before numerals in counted noun phrases (clf num).
openaire   +1 more source

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

2010
Naive Bayesian classifiers are well-known for their simplicity and efficiency. They rely on independence hypotheses, together with a normality assumption, which may be too demanding, when dealing with numerical data. Possibility distributions are more compatible with the representation of poor data.
Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier   +3 more
openaire   +1 more source

Japanese Numeral Classifiers

Belgian Journal of Linguistics, 1993
This study is an attempt to provide an alternative approach to the theory of linguistic modularity by focusing on the relationship between linguistic and conceptual representation observed in a case study of the Japanese numeral classifiers. From a cognitive anthropological standpoint, the A.
openaire   +1 more source

A hybrid classifier for recognizing handwritten numerals

Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002
The authors propose a combination of rule-based and neural classifiers to recognize unconstrained handwritten numerals, 0 to 9. During training, the rule-based classifier identifies the candidate set for each character class. The candidate set of a character class, i, comprises the character classes with which a pattern of i is most likely to be ...
Raymund Yee-Mian Teo, Rajjan Shinghal
openaire   +1 more source

A classifier for Bangla handwritten numeral recognition

Expert Systems with Applications, 2012
This paper presents a novel pattern classification approach - a kernel and Bayesian discriminant based classifier which utilizes the distribution characteristics of the samples in each class. A kernel combined with Bayesian discriminant in the subspace spanned by the eigenvectors which are associated with the smaller eigenvalues in each class is ...
Ying Wen 0003, Lianghua He
openaire   +1 more source