Dialect loss is a relatively new but by now quite general phenomenon in Flanders (i.e., Dutch-speaking Belgium). Although the processes of dialect change and dialect loss have proceeded with great regional di¤erences in speed and intensity in the past decades, there is a general tendency toward replacing primary dialect features of a relatively local scope by secondary dialect features that hav...

The use of polymorphic markers in breeding programmes could make selection more accurate and efficient. A total of 324 individuals from six Iranian cattle populations (Sarabi, Golpayegani, Sistani, Taleshi, Mazandarani, Dashtiyari), F1 Golpayegani × Brown Swiss and Iranian buffalo populations were genotypedfor the Pit-1 HinfI and leptin Sau3AI polymorphisms by the polymerase chain reactio...

This study was undertaken to estimate the genetic parameters for some reproduction traits in Sistani beef cattle. The data set consisted of 1489 records of number of insemination, calving, and insemination dates in different calving was used. Reproduction traits including calving interval (CI), gestation length (GL), days open (DO), calving to first service (CTFS), first service to conception (...

22 Moving from a traditional dialect geography research methodology to one in which data are processed 23 electronically and where visualization is used as a research tool can be of great benefit to dialect geography. 24 A working environment offering full support for using visualization as a research tool could take dialect 25 geography into the era of eScience. Despite the advent of electroni...

The present paper conducts two experiments on the nasal coda performance in Hohhot dialect from a prosodic point of view. In the production experiment, acoustic characteristics of nasal codas in Hohhot dialect are shown in comparison with that in Mandarin Chinese in the dimensions of duration, fundamental frequency and intensity, which reveal that Hohhot dialect speakers cannot produce the nasa...

This paper describes a method for selecting an appropriate phone set in dialect speech synthesis for a so far undescribed dialect by applying hidden Markov model (HMM) based training and clustering methods. In this pilot study we show how a phone set derived from the phonetic surface can be optimized given a small amount of dialect speech training data.