scholarly journals Measures of speech rhythm and the role of corpus-based word frequency: a multifactorial comparison of Spanish(-English) speakers

2011 ◽  
Vol 11 (2) ◽  
pp. 1 ◽  
Author(s):  
Michael J. Harris ◽  
Stefan Th. Gries

In this study, we address various measures that have been employed to distinguish between syllable and stress- timed languages. This study differs from all previous ones by (i) exploring and comparing multiple metrics within a quantitative and multifactorial perspective and by (ii) also documenting the impact of corpus-based word frequency. We begin with the basic distinctions of speech rhythms, dealing with the differences between syllable-timed languages and stress-timed languages and several methods that have been used to attempt to distinguish between the two. We then describe how these metrics were used in the current study comparing the speech rhythms of Mexican Spanish speakers and bilingual English/Spanish speakers (speakers born to Mexican parents in California). More specifically, we evaluate how well various metrics of vowel duration variability as well as the so far understudied factor of corpus-based frequency allow to classify speakers as monolingual or bilingual. A binary logistic regression identifies several main effects and interactions. Most importantly, our results call the utility of a particular rhythm metric, the PVI, into question and indicate that corpus data in the form of lemma frequencies interact with two metrics of durational variability, suggesting that durational variability metrics should ideally be studied in conjunction with corpus-based frequency data.

Author(s):  
Michael J. Harris ◽  
Stefan Th. Gries ◽  
Viola G. Miglio

This article describes three studies in prosody and their potential application to the field of forensic linguistics. It begins with a brief introduction to prosody. It then proceeds to describe Miglio, Gries, & Harris (2014), a comparison of prosodic coding of new information by bilingual Spanish-English speakers and monolingual Spanish speakers. A description of Harris & Gries (2011) follows. This study compares the vowel duration variability of bilingual Spanish-English speakers and monolingual Spanish speakers, and touches upon corpus-based frequency effects and differences in linguistic aptitude between the two speaker groups. Finally, a portion of anongoing study is described (Harris in preparation). This section describes the use of prosodic variables and ensemble methods (or methods that use multiple learning algorithms) to classify languages, even in the case of impoverished data. All three experiments have implications and applications to the field of forensic linguistics, which are touched upon in each respective section and discussed in a more in-depth manner in the final section of this article. Furthermore, the applications of these methods to forensic linguistics are discussed in light of best practices for forensic linguistics, as outlined in Chaski (2013).


2021 ◽  
pp. 002204262110372
Author(s):  
Ngoc N. Nguyen

Background: Marijuana use among adolescents is concerning in the United States, meanwhile, the effectiveness of school-based programs is inconclusive. This study examines the impact of school-based programs, school-based activities, and community-based activities on marijuana use among adolescents. Methods: A binary logistic regression analysis was conducted, using a sample of 16,509 adolescents (age = 12 to 17, male = 51.3%, White = 60.1%, Hispanic = 21.4%, African American = 14.7%, and Asian American = 3.9%) from the 2013 National Survey on Drug Use and Health (NSDUH). Results: Results of the main effects revealed that school-based programs, school-based activities, and community-based activities were deterrent factors against marijuana use among adolescents. Adolescents are less likely to use marijuana if they participate in school-based programs, school-based activities, and community-based activities. Conclusion: The findings of this study have implications for schools and those making educational policy.


2018 ◽  
Vol 72 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Marcos Díaz-Lago ◽  
Helena Matute

The purpose of this research is to investigate the impact of a foreign language on the causality bias (i.e., the illusion that two events are causally related when they are not). We predict that using a foreign language could reduce the illusions of causality. A total of 36 native English speakers participated in Experiment 1, 80 native Spanish speakers in Experiment 2. They performed a standard contingency learning task, which can be used to detect causal illusions. Participants who performed the task in their native tongue replicated the illusion of causality effect, whereas those performing the task in their foreign language were more accurate in detecting that the two events were causally unrelated. Our results suggest that presenting the information in a foreign language could be used as a strategy to debias individuals against causal illusions, thereby facilitating more accurate judgements and decisions in non-contingent situations. They also contribute to the debate on the nature and underlying mechanisms of the foreign language effect, given that the illusion of causality is rooted in basic associative processes.


2021 ◽  
pp. 1-25
Author(s):  
Christine Shea

Abstract This study examines how input mode – whether written or auditory – interacts with orthography in the production of North American English (NAE) schwar (/ɝ/, found in fur, heard, bird) by native Spanish speakers. Greater orthographic interference was predicted for written input, given the obligatory activation of orthographic representations in the execution of the task. Participants were L1 Mexican Spanish/L2 English speakers (L2, n = 15) and NAE (n = 15, rhotic dialect speakers). The target items were 10 schwar words and 10 words matched in graphemes to the onset and nucleus of the schwar words (e.g., bird was matched with big), for a total of 20 items. The degree of overlap between schwar productions across group and input mode (L2 only) was analyzed, followed by a generalized additive mixed model analysis of F3, one of the acoustic cues to rhotacization. Results showed that L2 schwar productions were different from the NAE productions in both the overlap and F3 measures, and the written input mode showed greater L1 orthographic interference than the auditory input mode, supporting the hypothesis that L1 orthography–phonology correspondences affect L2 productions of English schwar words.


2000 ◽  
Vol 6 (7) ◽  
pp. 760-769 ◽  
Author(s):  
AMARILIS ACEVEDO ◽  
DAVID A. LOEWENSTEIN ◽  
WARREN W. BARKER ◽  
DYLAN G. HARWOOD ◽  
CHERYL LUIS ◽  
...  

Category fluency tasks are an important component of neuropsychological assessment, especially when evaluating for dementia syndromes. The growth in the number of Spanish-speaking elderly in the United States has increased the need for appropriate neuropsychological measures and normative data for this population. This study provides norms for English and Spanish speakers, over the age of 50, on 3 frequently used measures of category fluency: animals, vegetables, and fruits. In addition, it examines the impact of age, education, gender, language, and depressed mood on total fluency scores and on scores on each of these fluency measures. A sample of 702 cognitively intact elderly, 424 English speakers, and 278 Spanish speakers, participated in the study. Normative data are provided stratified by language, age, education, and gender. Results evidence that regardless of the primary language of the examinee, age, education, and gender are the strongest predictors of total category fluency scores, with gender being the best predictor of performance after adjusting for age and education. English and Spanish speakers obtained similar scores on animal and fruit fluency, but English speakers generated more vegetable exemplars than Spanish speakers. Results also indicate that different fluency measures are affected by various factors to different degrees. (JINS, 2000, 6, 760–769.)


Author(s):  
Janet Nicol ◽  
Delia Greth

Abstract. In this paper, we report the results of a study of English speakers who have learned Spanish as a second language. All were late learners who have achieved near- advanced proficiency in Spanish. The focus of the research is on the production of subject-verb agreement errors and the factors that influence the incidence of such errors. There is some evidence that English and Spanish subject-verb agreement differ in susceptibility to interference from different types of variables; specifically, it has been reported that Spanish speakers show a greater influence of semantic factors in their implementation of subject-verb agreement ( Vigliocco, Butterworth, & Garrett, 1996 ). In our study, all participants were tested in English (L1) and Spanish (L2). Results indicate nearly identical error patterns: these speakers show no greater influence of semantic variables in the computation of agreement when they are speaking Spanish than when they are speaking English.


2019 ◽  
Vol 3 (4) ◽  
Author(s):  
J Michael Brick ◽  
Andrew Caporaso ◽  
Douglas Williams ◽  
David Cantor

Decisions on public policy can be affected if important segments of the population are systematically excluded from the data used to drive the decisions. In the US, Spanishspeakers make up an important subgroup that surveys conducted in English-only underrepresent. This subgroup differs in a variety of characteristics and they are less likely to respond to surveys in English-only. These factors lead to nonresponse biases that are problematic for survey estimates. For surveys conducted by mail, one solution is to include both English and Spanish materials in the survey package. For addresses in the US where Spanish-speakers are likely to be living, this approach is effective, but it still may omit some non-English-speakers. Traditionally, including both English and Spanish materials for addresses not identified as likely to have Spanish-speakers was considered problematic due to concerns of a backlash effect. The backlash effect is that predominantly English-speakers might respond at a lower rate because of the inclusion of Spanish materials. Prior research found no evidence of a backlash, but used a twophase approach with a short screener questionnaire to identify the eligible population for an education survey. In this paper, we report on experiments in two surveys that extend the previous research to criminal victimization and health communication single-phase surveys. These experiments test the effect of the inclusion of Spanish language materials for addresses not identified as likely to have Spanish-speakers. Our findings confirm most results of the previous research; however we find no substantial increase in Spanish-only participation when the materials are offered in both languages for addresses that are not likely to have Spanish-speakers. We offer some thoughts on these results and directions for future research, especially with respect to collecting data by the Internet.


Author(s):  
Josimar E. Chire Saire

BACKGROUND Infoveillance is an application from Infodemiology field with the aim to monitor public health and create public policies. Social sensor is the people providing thought, ideas through electronic communication channels(i.e. Internet). The actual scenario is related to tackle the covid19 impact over the world, many countries have the infrastructure, scientists to help the growth and countries took actions to decrease the impact. South American countries have a different context about Economy, Health and Research, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical. The motivation of this work is analyze the capital of Spanish Speakers Countries in South America using a Text Mining Approach with Twitter as data source. The preliminary results helps to understand what happens two weeks ago and opens the analysis from different perspectives i.e. Economics, Social. OBJECTIVE Analyze the behaviour of South American Capitals in front of covid19 pandemics and show the helpfulness of Text Mining Approach for Infoveillance tasks. METHODS Text Mining process RESULTS - Argentina and Venezuela capitals are the biggest number of post during this period, opposite with Bolivia, Ecuador and Uruguay. - Most relevant users are related to mass media like radio, television or newspapers. - There is a general concern about covid19 but every country talks about different areas: Economics, Health, Environmental Impact. CONCLUSIONS Infoveillance based on Social Sensors with data coming from Twitter can help to understand the trends on the population of the capitals. Besides, it is necessary to filter the posts for processing the text and get insights about frequency, top users, most important terms. This data is useful to analyse the population from different approaches. INTERNATIONAL REGISTERED REPORT RR2-https://doi.org/10.1101/2020.04.06.20055749


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohammad H. Al-Qahtani ◽  
Abdullah A. Yousef ◽  
Bassam H. Awary ◽  
Waleed H. Albuali ◽  
Mohammed A. Al Ghamdi ◽  
...  

Abstract Background The Emergency Repartment (ER) is one of the most used areas in healthcare institutions. Problems with over utilisation and overcrowding have been reported worldwide. This study aims at examining the characteristics of paediatric ER visits, the rate of hospital admissions and its associated predictors at King Fahd Hospital of the University in the Eastern Province of Saudi Arabia. Methods This is a retrospective, medical record-based study. Variables included gender, age group, nationality, complaints, Triage level, shifts and seasons. Descriptive statistics were reported as frequencies/percentages. P-values were obtained through a Chi-Squared test while unadjusted and adjusted odds ratios were estimated by binary logistic regression, where admission was considered as the outcome. Results The total number of paediatric patients included was 46,374, and only 2.5% were admitted. Males comprised 55.4% while females comprised 44.6%. The most common age group were toddlers, and 92.4% of the total sample were Saudis. The most common complaint was fever (26.9%) followed by respiratory symptoms (24.9%). Only 7 patients (0.02%) were classified as triage I (Resuscitation), and most were triage IV (Less urgent) (71.0%). Most visits occurred during the winter months. Adjusted ORs showed that neonates had higher odds of admission (OR = 3.85, 95%CI = 2.57–5.76). Moreover, those presenting with haematological conditions showed an OR of 65.49 (95%CI = 47.85–89.64), followed by endocrine conditions showing an OR of 34.89 (95%CI = 23.65–51.47). Triage I had a very high odds of admission (OR = 19.02, 95%CI = 2.70–133.76), whereas triage V was associated with a very low odds of admission (OR = 0.30, 95%CI = 0.23–0.38). Conclusions A low rate of hospital admission was found in comparison with other rates worldwide. This was mostly attributed to an alarmingly high number of non-urgent ER visits. This further emphasises the problem with improper use of ER services, as these cases should be more appropriately directed towards primary healthcare centres. Further studies to examine the impact of prioritising patients in the ER based on the identified predictors of hospital admission, in addition to the standard triage system, are suggested.


2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii85-ii86
Author(s):  
Ping Zhu ◽  
Xianglin Du ◽  
Angel Blanco ◽  
Leomar Y Ballester ◽  
Nitin Tandon ◽  
...  

Abstract OBJECTIVES To investigate the impact of biopsy preceding resection compared to upfront resection in glioblastoma overall survival (OS) and post-operative outcomes using the National Cancer Database (NCDB). METHODS A total of 17,334 GBM patients diagnosed between 2010 and 2014 were derived from the NCDB. Patients were categorized into two groups: “upfront resection” versus “biopsy followed by resection”. Primary outcome was OS. Post-operative outcomes including 30-day readmission/mortality, 90-day mortality, and prolonged length of inpatient hospital stay (LOS) were secondary endpoints. Kaplan-Meier methods and accelerated failure time (AFT) models with gamma distribution were applied for survival analysis. Multivariable binary logistic regression models were performed to compare differences in the post-operative outcomes between these groups. RESULTS Patients undergoing “upfront resection” experienced superior survival compared to those undergoing “biopsy followed by resection” (median OS: 12.4 versus 11.1 months, log-rank test: P=0.001). In multivariable AFT models, significant survival benefits were observed among patients undergoing “upfront resection” (time ratio [TR]: 0.83, 95% CI: 0.75–0.93, P=0.001). Patients undergoing upfront GTR had the longest survival compared to upfront STR, GTR following STR, or GTR and STR following an initial biopsy (14.4 vs. 10.3, 13.5, 13.3, and 9.1, months), respectively (TR: 1.00 [Ref.], 0.75, 0.82, 0.88, and 0.67). Recent years of diagnosis, higher income and treatment at academic facilities were significantly associated with the likelihood of undergoing upfront resection after adjusting the covariates. Multivariable logistic regression revealed that 30-day mortality and 90-day mortality were decreased by 73% and 44% for patients undergoing “upfront resection” over “biopsy followed by resection”, respectively (both p < 0.001). CONCLUSIONS Pre-operative biopsies for surgically accessible tumors with characteristic imaging features of Glioblastoma lead to worse survival despite subsequent resection compared to patients undergoing upfront resection.


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