Studying variation in Romanian: deletion of the definite article -l in continuous speech

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Ioana Vasilescu ◽  
Ioana Chitoran ◽  
Bianca Vieru ◽  
Martine Adda-Decker ◽  
Maria Candea ◽  
...  

AbstractStudies of variation in continuous speech converge towards the conclusion that in everyday speech, words are often produced with reduced variants: some segments are shortened or completely absent. We describe an initiative to automatically exploit spoken corpora, in order to better understand linguistic behavior in spontaneous speech. This study focuses on the reduction of the postposed definite article in Romanian. The Romanian corpora used here cover several speaking styles including both prepared and spontaneous speech, such as broadcast news and debates, elicited dialogues and monologues on suggested topics. Taken together, the data sets contain more than 10 hours of speech produced in a variety of communicative frameworks. The deletion of the definite article -l, i.e. L-dropping in continuous speech, is investigated across speaking styles using pronunciation variants aligned with the speech. The main question addressed in the study is the influence of speaking style on the distribution of L-dropping. We examine the role of the surrounding context in L-dropping and L-retention. The results show that, in prepared speech and broadcast news, deletion is triggered by the context as a consequence of the communicative framework and the nature of the following segment (following vowel-initial words favor L-retention, while consonant-initial words favor L-dropping). In spontaneous speech, L-dropping is more frequent and the context is less important in predicting the occurrence of reduced variants than in other speaking styles.

2017 ◽  
Author(s):  
Sean Chandler Rife ◽  
Kelly L. Cate ◽  
Michal Kosinski ◽  
David Stillwell

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world’s largest social networking service. If Facebook is to be considered a viable platform for social research, it is necessary to demonstrate that Facebook users are sufficiently heterogeneous and that research conducted through Facebook is likely to produce results that can be generalized to a larger population. The present study examines these questions by comparing demographic and personality data collected over Facebook with data collected through a standalone website, and data collected from college undergraduates at two universities. Results indicate that statistically significant differences exist between Facebook data and the comparison data-sets, but since 80% of analyses exhibited partial η2 < .05, such differences are small or practically nonsignificant in magnitude. We conclude that Facebook is a viable research platform, and that recruiting Facebook users for research purposes is a promising avenue that offers numerous advantages over traditional samples.


2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Alexander Bergs

Abstract This paper focuses on the micro-analysis of historical data, which allows us to investigate language use across the lifetime of individual speakers. Certain concepts, such as social network analysis or communities of practice, put individual speakers and their social embeddedness and dynamicity at the center of attention. This means that intra-speaker variation can be described and analyzed in quite some detail in certain historical data sets. The paper presents some exemplary empirical analyses of the diachronic linguistic behavior of individual speakers/writers in fifteenth to seventeenth century England. It discusses the social factors that influence this behavior, with an emphasis on the methodological and theoretical challenges and opportunities when investigating intra-speaker variation and change.


2008 ◽  
Vol 32 (2) ◽  
pp. 153-180 ◽  
Author(s):  
Kerry Taylor-Leech

Language choice in the newly independent Republic of East Timor can be usefully examined in the wider context of language policy in multilingual states. The present article reports on ethnographic research investigating official and popular discourses of language and identity in East Timor and the role of past and present language policies and practices in shaping national and social identity. It focuses on the discursive reconstruction of identity through five official instruments of language policy development. Hostile discourses in the Australian and Indonesian press towards the choice of Portuguese (the former colonial language) and Tetum (the endogenous lingua franca) as official languages provided the context for the investigation. A persistent theme in these discourses is that English and/or Indonesian would be preferable choices. The article puts these discourses into perspective by presenting findings from two data sets: (i) the 2004 National Census and (ii) analysis of the discourses of 78 participants in semi-structured interviews and student focus groups. The census shows clear signs of the revival of Portuguese and the reinvigoration of Tetum. It also shows how diverse linguistic identities have become in East Timor. The research findings show that there is less hostility to official language policy than claimed in the Australian and Indonesian press. However, the findings also emphasise the urgent need to reconstruct an inclusive, plurilingual national identity that can encompass diversity.


Author(s):  
Ebony I Weems ◽  
Noé U de la Sancha ◽  
Laurel J Anderson ◽  
Carlos Zambrana-Torrelio ◽  
Ronaldo P Ferraris

Synopsis We argue that the current environmental changes stressing the Earth’s biological systems urgently require study from an integrated perspective to reveal unexpected, cross-scale interactions, particularly between microbes and macroscale phenomena. Such interactions are the basis of a mechanistic understanding of the important connections between deforestation and emerging infectious disease, feedback between ecosystem disturbance and the gut microbiome, and the cross-scale effects of environmental pollutants. These kinds of questions can be answered with existing techniques and data, but a concerted effort is necessary to better coordinate studies and data sets from different disciplines to fully leverage their potential.


Author(s):  
Hassan Gharayagh Zandi ◽  
Sahar Zarei ◽  
Mohammad Ali Besharat ◽  
Davoud Houminiyan sharif abadi ◽  
Ahmad Bagher Zadeh

Coaching has often been viewed as a context within which coaches operate to largely bring about changes in athlete’s performance and flourishing. One key factor to successful outcomes in coaching is the quality of the relationship between coaches and athletes. The coach–athlete relationship is at the heart of coaching; however, limited studies have been conducted on its antecedents. The aim of this study was to investigate the relationship between coaches’ forgiveness and perceived relationship quality toward their athletes through verifying the mediating role of interpersonal behaviors of coaches. A total of 270 Iranian coaches participated in the survey, and the data sets were analyzed using structural equation modeling. Results revealed that forgiveness positively predicted the coaches’ perceived relationship quality with their athletes, and this pathway was mediated by the coaches’ interpersonal behaviors.


Author(s):  
Afrand Agah ◽  
Mehran Asadi

This article introduces a new method to discover the role of influential people in online social networks and presents an algorithm that recognizes influential users to reach a target in the network, in order to provide a strategic advantage for organizations to direct the scope of their digital marketing strategies. Social links among friends play an important role in dictating their behavior in online social networks, these social links determine the flow of information in form of wall posts via shares, likes, re-tweets, mentions, etc., which determines the influence of a node. This article initially identities the correlated nodes in large data sets using customized divide-and-conquer algorithm and then measures the influence of each of these nodes using a linear function. Furthermore, the empirical results show that users who have the highest influence are those whose total number of friends are closer to the total number of friends of each node divided by the total number of nodes in the network.


2014 ◽  
Vol 42 (5) ◽  
pp. 1146-1157 ◽  
Author(s):  
DANIEL SCHMERSE ◽  
ELENA LIEVEN ◽  
MICHAEL TOMASELLO

AbstractWe investigated whether children at the ages of two and three years understand that a speaker's use of the definite article specifies a referent that is in common ground between speaker and listener. An experimenter and a child engaged in joint actions in which the experimenter chose one of three similar objects of the same category to perform an action. In subsequent interactions children were asked to get ‘the X’ or ‘a X’. When children were instructed with the definite article they chose the shared object significantly more often than when they were instructed with the indefinite article in which case children's choice was at chance. The findings show that in their third year children use shared experiences to interpret the speaker's communicative intention underlying her referential choice. The results are discussed with respect to children's representation of linguistic categories and the role of joint action for establishing common ground.


2020 ◽  
Author(s):  
Kashyap Chhatbar ◽  
Justyna Cholewa-Waclaw ◽  
Ruth Shah ◽  
Adrian Bird ◽  
Guido Sanguinetti

AbstractMeCP2 is an abundant protein in mature nerve cells, where it binds to DNA sequences containing methylated cytosine. Mutations in the MECP2 gene cause the severe neurological disorder Rett syndrome (RTT), provoking intensive study of the underlying molecular mechanisms. Multiple functions have been proposed, one of which involves a regulatory role in splicing. Here we leverage the recent availability of high-quality transcriptomic data sets to probe quantitatively the potential influence of MeCP2 on alternative splicing. Using a variety of machine learning approaches that can capture both linear and non-linear associations, we show that widely different levels of MeCP2 have a minimal effect on alternative splicing in three different systems. Alternative splicing was also apparently indifferent to developmental changes in DNA methylation levels. Our results suggest that regulation of splicing is not a major function of MeCP2. They also highlight the importance of multi-variate quantitative analyses in the formulation of biological hypotheses.


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