Yugan Khanty Phonetic Features Based on the Experimental Data

2021 ◽  
Vol 20 (9) ◽  
pp. 55-67
Author(s):  
Timofey V. Timkin
Keyword(s):  
Native Speakers ◽  
Initial Position ◽  
Final Position ◽  
Resonant Frequencies ◽  
R Programming Language ◽  
Main Technique ◽  
Phonetic Features ◽  
R Programming ◽  
The Right ◽  
Formant Analysis

The paper deals with the phonetics of Yugan idiom of Surgut Khanty. The research is a part of the project aimed at describing Surgut Khanty phonetics. The Yugan idiom has significant differences from the Tromyegan idiom described before. The analysis is based on the data collected during the expedition to the settlement Ugut in 2019. The experimental part includes 130 words list read out three times by four native speakers from different traditional settlements on the Malyi Yugan river and on the Bolshoi Yugan river. The research was conducted using experimental techniques: Praat, Emu-SDMS software. The main technique was a formant analysis that deals with resonant frequencies in vowel spectra to obtain data on articulation features. Statistical evaluations and visualization were established via R programming language. We found differences between the Malyi Yugan river and the Bol’shoi Yugan river idioms. 12 vowel phonemes were found in the Malyi Yugan idiom. Compared to the Tromyegan system the phoneme /ɔ/ (traditionally /ȯ̆/) is absent. It was replaced by /ɛ/ (traditionally /ȧ̆/) or /o/ (traditionally /ŏ/). The phoneme u̇ described in previous literature on the topic disappeared and was replaced by /iː/. The Bolshoi Yugan vowel system includes these phonemes and also diphthongs [ui], [ɔɛ]. They appear after [k] where etimological u̇, ȯ̆ used to be. They probably are the realizations of the phonemes /iː/, /ɛ/ in the position after labialized k, which has become a phoneme. Non-initial [w] is reported to be specific Jugan feature and appears to have parallels in Tromyegan idiom too. It is an evidence for the rearranging of the Surgut idioms. In this pronunciation type /w/ is realized as a labial approximant in an initial position and after not-rounded vowels in a non-final position. After not-rounded vowels in a final position it comes as an initial-voiced fricative evoking preceding vowel diphthongization. After rounded vowels it is labiovelar [γʷ] or non-syllabic [ʊ] (before consonants). This pronunciation type is similar to the Tromyegan type, but it differs from the Pim type where /w/ comes as a labial approximant consistently. The disappearance of labial fricatives is a new phenomenon which has not been described properly. Territorial and social factors for this process are given. The Malyi Yugan speakers use lateral fricatives /ł/, /ʎ̥/ and the Bolshoi Yugan speakers replace it by /t/, /c͡c̦/. In the settlement Ugut where Bolshoi and Malyi Yugan natives contact in Russian-spoken environment both variants are used with t-pronunciation evaluated by speakers as new and declining from the ‘'right’ speech.

scholarly journals Articulatory correlates of the voicing contrast in alveolar obstruent production in German

2005 ◽  
Vol 41 ◽  
pp. 252 ◽  
Author(s):  
Susanne Fuchs
Keyword(s):  
Native Speakers ◽  
Initial Position ◽  
Final Position ◽  
Stressed Syllable ◽  
Electromagnetic Articulography ◽  
Voicing Contrast ◽  
Contact Patterns ◽  
Phonological Rule ◽  
Stressed Position

This work investigates laryngeal and supralaryngeal correlates of the voicing contrast in alveolar obstruent production in German. It further studies laryngealoral co-ordination observed for such productions. Three different positions of the obstruents are taken into account: the stressed, syllable initial position, the post-stressed intervocalic position, and the post-stressed word final position. For the latter the phonological rule of final devoicing applies in German. The different positions are chosen in order to study the following hypotheses: 1. The presence/absence of glottal opening is not a consistent correlate of the voicing contrast in German. 2. Supralaryngeal correlates are also involved in the contrast. 3. Supralaryngeal correlates can compensate for the lack of distinction in laryngeal adjustment. Including the word final position is motivated by the question whether neutralization in word final position would be complete or whether some articulatory residue of the contrast can be found. Two experiments are carried out. The first experiment investigates glottal abduction in co-ordination with tongue-palate contact patterns by means of simultaneous recordings of transillumination, fiberoptic films and Electropalatography (EPG). The second experiment focuses on supralaryngeal correlates of alveolar stops studied by means of Electromagnetic Articulography (EMA) simultaneously with EPG. Three German native speakers participated in both recordings. Results of this study provide evidence that the first hypothesis holds true for alveolar stops when different positions are taken into account. In fricative production it is also confirmed since voiceless and voiced fricatives are most of the time realised with glottal abduction. Additionally, supralaryngeal correlates are involved in the voicing contrast under two perspectives. First, laryngeal and supralaryngeal movements are well synchronised in voiceless obstruent production, particularly in the stressed position. Second, supralaryngeal correlates occur especially in the post-stressed intervocalic position. Results are discussed with respect to the phonetics-phonology interface, to the role of timing and its possible control, to the interarticulatory co-ordination, and to stress as 'localised hyperarticulation'.  

scholarly journals Analyzing free variation with harmony – A case study of verb-cluster serialization

2020 ◽  
Vol 39 (3) ◽  
pp. 407-437
Author(s):  
Markus Bader
Keyword(s):  
Native Speakers ◽  
Initial Position ◽  
Experimental Results ◽  
Modal Verbs ◽  
Weighted Constraints ◽  
Corpus Data ◽  
Frequency Relationship ◽  
Zero Frequency ◽  
Free Variation

Abstract In German, a verb selected by another verb normally precedes the selecting verb. Modal verbs in the perfect tense provide an exception to this generalization because they require the perfective auxiliary to occur in cluster-initial position according to prescriptive grammars. Bader and Schmid (2009b) have shown, however, that native speakers accept the auxiliary in all positions except the cluster-final one. Experimental results as well as corpus data indicate that verb cluster serialization is a case of free variation. I discuss how this variation can be accounted for, focusing on two mismatches between acceptability and frequency: First, slight acceptability advantages can turn into strong frequency advantages. Second, syntactic variants with basically zero frequency can still vary substantially in acceptability. These mismatches remain unaccounted for if acceptability is related to frequency on the level of whole sentence structures, as in Stochastic OT (Boersma and Hayes2001). However, when the acceptability-frequency relationship is modeled on the level of individual weighted constraints, using harmony as link (see Pater2009, for different harmony based frameworks), the two mismatches follow given appropriate linking assumptions.

scholarly journals Initial laryngeal neutralisation in Tyrolean

Phonology ◽  
2018 ◽  
Vol 35 (1) ◽  
pp. 79-114 ◽  
Author(s):  
Alessandro Vietti ◽  
Birgit Alber ◽  
Barbara Vogt
Keyword(s):  
Acoustic Analysis ◽  
Initial Position ◽  
Final Position ◽  
Acoustic Cues ◽  
Acoustic Parameters ◽  
Place Of Articulation ◽  
Closure Duration

In the Southern Bavarian variety of Tyrolean, laryngeal contrasts undergo a typologically interesting process of neutralisation in word-initial position. We undertake an acoustic analysis of Tyrolean stops in word-initial, word-medial intersonorant and word-final contexts, as well as in obstruent clusters, investigating the role of the acoustic parameters VOT, prevoicing, closure duration and F0 and H1–H2* on following vowels in implementing contrast, if any. Results show that stops contrast word-medially via [voice] (supported by the acoustic cues of closure duration and F0), and are neutralised completely in word-final position and in obstruent clusters. Word-initially, neutralisation is subject to inter- and intraspeaker variability, and is sensitive to place of articulation. Aspiration plays no role in implementing laryngeal contrasts in Tyrolean.

scholarly journals Microrisk Lab: an online freeware for predictive microbiology

2020 ◽  
Author(s):  
Yangtai Liu ◽  
Xiang Wang ◽  
Baolin Liu ◽  
Qingli Dong
Keyword(s):  
Parameter Estimation ◽  
Bacterial Growth ◽  
Model Simulation ◽  
Parameter Determination ◽  
Predictive Microbiology ◽  
Isothermal Conditions ◽  
R Programming Language ◽  
Behavior Simulation ◽  
R Programming ◽  
And Behavior

AbstractMicrorisk Lab was designed as an interactive modeling freeware to realize parameter estimation and model simulation in predictive microbiology. This tool was developed based on the R programming language and ‘Shinyapps.io’ server, and designed as a fully responsive interface to the internet-connected devices. A total of 36 peer-reviewed models were integrated for parameter estimation (including primary models of bacterial growth/ inactivation under static and non-isothermal conditions, secondary models of specific growth rate, and competition models of two-flora growth) and model simulation (including integrated models of deterministic or stochastic bacterial growth/ inactivation under static and non-isothermal conditions) in Microrisk Lab. Each modeling section was designed to provide numerical and graphical results with comprehensive statistical indicators depending on the appropriate dataset and/ or parameter setting. In this research, six case studies were reproduced in Microrisk Lab and compared in parallel to DMFit, GInaFiT, IPMP 2013/ GraphPad Prism, Bioinactivation FE, and @Risk, respectively. The estimated and simulated results demonstrated that the performance of Microrisk Lab was statistically equivalent to that of other existing modeling system in most cases. Microrisk Lab allowed for uniform user experience to implement microbial predictive modeling by its friendly interfaces, high-integration, and interconnectivity. It might become a useful tool for the microbial parameter determination and behavior simulation. Non-commercial users could freely access this application at https://microrisklab.shinyapps.io/english/.

scholarly journals Making questions with tone: Polar question formation in Kinyarwanda

2020 ◽  
Vol 5 (1) ◽  
pp. 213
Author(s):  
Alexander Jarnow
Keyword(s):  
Prosodic Structure ◽  
Final Position ◽  
Bantu Language ◽  
Wh Questions ◽  
Question Formation ◽  
The Right

Kinyarwanda is a Bantu language with one phonemic (H) tone (Kimenyi 2002). This can phonetically realized as high, low, rising, and falling. This talk addresses the tonological discrepancy between declaratives and polar questions in Kinyarwanda. Kimenyi(1980) briefly addresses Kinyarwanda polar questions and describes them as “a rising pitch at the sentence final position”. This generalization captures crucially cannot predict polar questions in which there is no LHL contour at the end of the sentence. I argue that what polar questions share is (a) suspension of downstep on the rightmost lexical H and (b) deletion of all word-final prosodic H. Kinyarwanda forms a prosodic structure that takes the scope of the question. This expands on Richards (2010) analysis of wh-questions. Kinyarwanda marks the right edges of prosodic words using boundary tones, similar to Chichewa (Kanerva 1990; Myers 1996).

scholarly journals Developing codes for validation of PM10, PM2.5, and O3 datasets using R programming language

2019 ◽  
Author(s):  
Ramin Nabizadeh ◽  
Mostafa Hadei
Keyword(s):  
Air Pollution ◽  
Programming Language ◽  
Assessment Method ◽  
Daily Maximum ◽  
Data Handling ◽  
R Programming Language ◽  
Wide Range ◽  
Us Epa ◽  
R Programming ◽  
Pm 10

Introduction: The wide range of studies on air pollution requires accurate and reliable datasets. However, due to many reasons, the measured concentra-tions may be incomplete or biased. The development of an easy-to-use and reproducible exposure assessment method is required for researchers. There-fore, in this article, we describe and present a series of codes written in R Programming Language for data handling, validating and averaging of PM10, PM2.5, and O3 datasets.   Findings: These codes can be used in any types of air pollution studies that seek for PM and ozone concentrations that are indicator of real concentra-tions. We used and combined criteria from several guidelines proposed by US EPA and APHEKOM project to obtain an acceptable methodology. Separate   .csv files for PM 10, PM 2.5 and O3 should be prepared as input file. After the file was imported to the R Programming software, first, negative and zero values of concentrations within all the dataset will be removed. Then, only monitors will be selected that have at least 75% of hourly concentrations. Then, 24-h averages and daily maximum of 8-h moving averages will be calculated for PM and ozone, respectively. For output, the codes create two different sets of data. One contains the hourly concentrations of the interest pollutant (PM10, PM2.5, or O3) in valid stations and their average at city level. Another is the   final 24-h averages of city for PM10 and PM2.5 or the final daily maximum 8-h averages of city for O3. Conclusion: These validated codes use a reliable and valid methodology, and eliminate the possibility of wrong or mistaken data handling and averaging. The use of these codes are free and without any limitation, only after the cita-tion to this article.

scholarly journals Implementasi UML Dan Grennfoot Untuk Membangun Aplikasi Pengucapan Bahasa Inggris

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Wire Bagye
Keyword(s):  
English Language ◽  
Native Speakers ◽  
Native Speaker ◽  
Object Oriented Programming ◽  
English Learning ◽  
Test Results ◽  
Recording Material ◽  
English Pronunciation ◽  
Black Box Testing ◽  
The Right

One of the materials in the English Language course is listening, namely the skill of hearing the pronunciation of English sentences. Learning listening must use native speaker or recording material so that the pronunciation is heard according to the original. If you use the course participants as a sound source, there is a high probability of mistakes in the pronunciation of words or sentences. Then an application is needed to help with course activities as tutors or native speakers in giving correct English pronunciation. In this research, English Pronunciation Application was built using the Greenfoot Application with the object oriented programming concept. This application is to help pronoun learning that can output audio when the object clicked. The development method uses SDLC, application modeling uses UML and testing using Black-box testing. The English pronunciation application is compiled into a .jar file so that it can be run on a computer with a Windows operating system that has JDK installed. The test results show that this English learning application can replace tutors, produce the right audio, and can replace native speakers. This can be seen from the results of the questionnaire showing 82%.

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