Evidence for the C-domain in early Interlanguage

2005 ◽  
Vol 5 ◽  
pp. 7-34
Author(s):  
Laurent Dekydtspotter ◽  
Bonnie D. Schwartz ◽  
Rex A. Sprouse ◽  
Audrey Liljestrand
Keyword(s):  
Experimental Design ◽  
Sentence Processing ◽  
Supporting Evidence ◽  
L2 Acquisition ◽  
Prepositional Phrases ◽  
Universal Sentence ◽  
Performance System ◽  
Using Data ◽  
Embedded Clause ◽  
Processing Mechanisms

On the basis of Hindi-English Interlanguage data, Bhatt and Hancin-Bhatt (2002) advance the Structural Minimality hypothesis in which C-domain categories are not licensed in early second language (L2) acquisition, and claim that this leads early L2 learners to misconstrue Prepositional Phrases in the immediate vicinity of the complementizer that introducing an embedded clause. We show, however, that the Structural Minimality thesis is conceptually weak and the argumentation seeking to establish it flawed in three areas: experimental design, reporting of results, and interpretation. Using data from Garcia (1998), we report asymmetries — in the construal of PPs immediately preceding the complementizer versus PPs immediately following the complementizer — that show that knowledge of the C-domain is necessarily implicated in L2 English. We argue that these asymmetries are rooted in the performance system, and we present additional supporting evidence from English-French Interlanguage that is, moreover, highly revealing of the precise, universal sentence processing mechanisms involved. Bhatt and Hancin-Bhatt’s (2002) proposal, in contrast, simply fails to explain any of these asymmetries.

scholarly journals A ‘mixed methods’ approach for investigating aspect in a second language

2019 ◽  
Vol 8 (1) ◽  
pp. 41-66
Author(s):  
Laura Domínguez
Keyword(s):  
Second Language ◽  
Mixed Methods ◽  
Research Methods ◽  
Supporting Evidence ◽  
L2 Acquisition ◽  
Single Task ◽  
Mixed Methods Approach ◽  
Aspect Hypothesis ◽  
Lexical Aspect ◽  
Oral Production

Abstract A leading hypothesis in the study of the L2 acquisition of aspect-related verbal morphemes is the Lexical Aspect Hypothesis (LAH) (Andersen, 1989, 1991; Andersen & Shirai, 1994) which claims that learners’ use of these forms is determined by the lexical properties of events. Reviews of major studies reveal that data from one single task, usually an open-ended oral task, have often been used to support this hypothesis. I discuss copious evidence from the acquisition of Spanish to argue that when studies use a ‘mixed methods’ approach (e.g. combining oral production and experimentally elicited data) they are able to test existing hypotheses such as the LAH more reliably and can offer more valuable insights. Existing evidence from the SPLLOC project (Domínguez, Tracy-Ventura, Arche, Mitchell, & Myles, 2013; Mitchell, Domínguez, Arche, Myles, & Marsden, 2008) is used as supporting evidence for this approach and to raise questions about the appropriateness of some research methods widely used in our field.

scholarly journals Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 12 ◽  
Author(s):  
Stéphanie Boué ◽  
Thomas Exner ◽  
Samik Ghosh ◽  
Vincenzo Belcastro ◽  
Joh Dokler ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Science ◽  
Disease Risk ◽  
Open Data ◽  
Supporting Evidence ◽  
Tobacco Products ◽  
Us Fda ◽  
Using Data

The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products.  Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies and measures of disease risk relative to those of cigarette smoking.  Best practices encourage verification of the data from such studies through sharing and open standards. Building on the experience gained from the OpenTox project, a proof-of-concept database and website (INTERVALS) has been developed to share results from both in vivo inhalation studies and in vitro studies conducted by Philip Morris International R&D to assess candidate MRTPs. As datasets are often generated by diverse methods and standards, they need to be traceable, curated, and the methods used well described so that knowledge can be gained using data science principles and tools. The data-management framework described here accounts for the latest standards of data sharing and research reproducibility. Curated data and methods descriptions have been prepared in ISA-Tab format and stored in a database accessible via a search portal on the INTERVALS website. The portal allows users to browse the data by study or mechanism (e.g., inflammation, oxidative stress) and obtain information relevant to study design, methods, and the most important results. Given the successful development of the initial infrastructure, the goal is to grow this initiative and establish a public repository for 21st-century preclinical systems toxicology MRTP assessment data and results that supports open data principles.

scholarly journals Replicator degrees of freedom allow publication of misleading failures to replicate

2019 ◽  
Vol 116 (51) ◽  
pp. 25535-25545 ◽  
Author(s):  
Christopher J. Bryan ◽  
David S. Yeager ◽  
Joseph M. O’Brien
Keyword(s):  
Data Analysis ◽  
Experimental Design ◽  
Degrees Of Freedom ◽  
Large Scale ◽  
Current Practice ◽  
False Negative ◽  
Ongoing Debate ◽  
Key Dimensions ◽  
Using Data

In recent years, the field of psychology has begun to conduct replication tests on a large scale. Here, we show that “replicator degrees of freedom” make it far too easy to obtain and publish false-negative replication results, even while appearing to adhere to strict methodological standards. Specifically, using data from an ongoing debate, we show that commonly exercised flexibility at the experimental design and data analysis stages of replication testing can make it appear that a finding was not replicated when, in fact, it was. The debate that we focus on is representative, on key dimensions, of a large number of other replication tests in psychology that have been published in recent years, suggesting that the lessons of this analysis may be far reaching. The problems with current practice in replication science that we uncover here are particularly worrisome because they are not adequately addressed by the field’s standard remedies, including preregistration. Implications for how the field could develop more effective methodological standards for replication are discussed.

Native and Nonnative Speakers' Processing of a Miniature Version of Japanese as Revealed by ERPs

2005 ◽  
Vol 17 (8) ◽  
pp. 1229-1244 ◽  
Author(s):  
Jutta L. Mueller ◽  
Anja Hahne ◽  
Yugo Fujii ◽  
Angela D. Friederici
Keyword(s):  
Sentence Processing ◽  
Native Speakers ◽  
Event Related Potential ◽  
L2 Acquisition ◽  
Behavioral Skills ◽  
Word Category ◽  
L2 Processing ◽  
Proficiency Level ◽  
Before And After ◽  
On Line

Several event-related potential (ERP) studies in second language (L2) processing have revealed a differential vulnerability of syntax-related ERP effects in contrast to purely semantic ERP effects. However, it is still debated to what extent a potential critical period for L2 acquisition, as opposed to the attained proficiency level in the L2, contributes to the pattern of results reported in previous ERP studies. We studied L2 processing within the model of a miniature version of a natural language, namely Japanese, specifically constructed to assure high proficiency of the learners. In an auditory ERP experiment, we investigated sentence processing of the “Mini-Japanese” in Japanese native speakers and German volunteers before and after training. By making use of three different types of violation, namely, word category, case, and classifier violations, native and nonnative ERP patterns were compared. The three types of violation elicited three characteristic ERP patterns in Japanese native speakers. The word category violation elicited an anteriorly focused, broadly distributed early negativity followed by a P600, whereas the case violation evoked a P600 which was preceded by an N400. The classifier violation led solely to a late left distributed negativity with an anterior focus. Although the P600 was similar for Japanese natives and learners, the N400 and the anterior negativities were not present in the learner group. The differences across groups suggest deviant neural processes in on-line syntactic and thematic processing in the L2 learners despite high behavioral skills.

scholarly journals Framework of Experimental Design and Data Mining in Multi-agent Simulation

2022 ◽  
pp. 1-7
Author(s):  
Fa Zhang ◽  
Shi-Hui Wu ◽  
Zhi-Hua Song
Keyword(s):  
Complex System ◽  
Data Mining ◽  
Experimental Design ◽  
Complex Systems ◽  
Key Factors ◽  
Agent Based ◽  
Meta Model ◽  
Reduction Methods ◽  
Multi Agent ◽  
Using Data

Multi-agent based simulation (MABS) is an important approach for studying complex systems. The Agent-based model often contains many parameters, these parameters are usually not independent, with differences in their range, and may be subjected to constraints. How to use MABS investigating complex systems effectively is still a challenge. The common tasks of MABS include: summarizing the macroscopic patterns of the system, identifying key factors, establishing a meta-model, and optimization. We proposed a framework of experimental design and data mining for MABS. In the framework, method of experimental design is used to generate experiment points in the parameter space, then generate simulation data, and finally using data mining techniques to analyze data. With this framework, we could explore and analyze complex system iteratively. Using central composite discrepancy (CCD) as measure of uniformity, we designed an algorithm of experimental design in which parameters could meet any constraints. We discussed the relationship between tasks of complex system simulation and data mining, such as using cluster analysis to classify the macro patterns of the system, and using CART, PCA, ICA and other dimensionality reduction methods to identify key factors, using linear regression, stepwise regression, SVM, neural network, etc. to build the meta-model of the system. This framework integrates MABS with experimental design and data mining to provide a reference for complex system exploration and analysis.

scholarly journals Parsing preferences and individual differences in nonnative sentence processing: Evidence from eye movements

2021 ◽  
Vol 42 (1) ◽  
pp. 129-151
Author(s):  
Yesi Cheng ◽  
Jason Rothman ◽  
Ian Cunnings
Keyword(s):  
Individual Differences ◽  
Sentence Processing ◽  
Lexical Processing ◽  
English Studies ◽  
Processing Efficiency ◽  
L2 Processing ◽  
Attachment Preference ◽  
Ambiguity Advantage ◽  
L1 And L2 ◽  
Processing Mechanisms

AbstractUsing both offline and online measures, the present study investigates attachment resolution in relative clauses in English natives (L1) and nonnatives (L2). We test how relative clause resolution interacts with linguistic factors and participant-level individual differences. Previous L1 English studies have demonstrated a low attachment preference and also an “ambiguity advantage” suggesting that L1ers may not have as strong a low attachment preference as is sometimes claimed. We employ a similar design to examine this effect in L1 and L2 comprehension. Offline results indicate that both groups exhibit a low attachment preference, positively correlated with reading span scores and with proficiency in the L2 group. Online results also suggest a low attachment preference in both groups. However, our data show that individual differences influence online attachment resolution for both native and nonnatives; higher lexical processing efficiency correlates with quicker resolution of linguistic conflicts. We argue that the current findings suggest that attachment resolution during L1 and L2 processing share the same processing mechanisms and are modulated by similar individual differences.

scholarly journals Oilfields, Mosques and Violence: Is There a Resource Curse in Xinjiang?

2018 ◽  
Vol 50 (1) ◽  
pp. 45-78 ◽  
Author(s):  
Ji Yeon Hong ◽  
Wenhui Yang
Keyword(s):  
Resource Curse ◽  
Ethnic Violence ◽  
Economic Conditions ◽  
Resource Extraction ◽  
Supporting Evidence ◽  
Authoritarian State ◽  
Natural Resource Extraction ◽  
Natural Gas Development ◽  
Oil And Natural Gas ◽  
Using Data

How does natural resource extraction affect ethnic violence in a strong authoritarian state? This study investigates the effects of oil and natural gas development on violent incidents in Xinjiang, China, using data from its eighty-six counties. Contrary to the resource curse claim, we find that areas with larger quantities of resource production have lower rates of violence. The analysis of reserves data confirms that this finding is not driven by endogeneity between violence and resource production. This soothing effect of resources subsides, however, in areas with high mosque density. While we find no supporting evidence that drastic ethno-demographic changes or strengthening of public security are associated with resource extraction, the analysis shows that resource development contributes to improved local economic conditions, particularly with respect to employment and the incomes of employees of state-owned enterprises.

scholarly journals Using Modified Intelligent Experimental Design in Parameter Estimation of Chaotic Systems

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Zahra Shourgashti ◽  
Hamid Keshvari ◽  
Shirin Panahi
Keyword(s):  
Parameter Estimation ◽  
System Identification ◽  
Dynamical Systems ◽  
Experimental Design ◽  
Chaotic Systems ◽  
Initial Condition ◽  
Sampled Data ◽  
One Dimensional ◽  
Using Data ◽  
Set Up

Computational modeling plays an important role in prediction and optimization of real systems and processes. Models usually have some parameters which should be set up to the proper value. Therefore, parameter estimation is known as an important part of the modeling and system identification. It usually refers to the process of using sampled data to estimate the optimum values of parameters. The accuracy of model can be increased by adjusting its parameters to the optimum value which need a richer dataset. One simple solution for having a richer dataset is increasing the amount of data, but that can be costly and time consuming. When using data from animals or people, it is especially important to have a proper plan. There are several available methods for parameter estimation in dynamical systems; however there are some basic differences in chaotic systems due to their sensitivity to initial condition (butterfly effect). Accordingly, in this paper, a new cost function which is proper for chaotic systems is applied to the chaotic one-dimensional map. Then the efficiency of a newly introduced intelligent method experimental design in extracting proper data is investigated. The results show the success of the proposed method.

scholarly journals Lexicogrammar through colligation: Noun + Preposition in English and Norwegian

2021 ◽  
Vol 11 (1) ◽  
pp. 145-161
Author(s):  
Hilde Hasselgård
Keyword(s):  
Search Method ◽  
The Other ◽  
Prepositional Phrases ◽  
Parallel Corpus ◽  
Part Of Speech ◽  
Using Data

This study compares sequences of noun and preposition in English and Norwegian using data from the English-Norwegian Parallel Corpus. One purpose is to test the use of sequences of part-of-speech tags as a search method for contrastive studies. The other is to investigate the functions and meanings of prepositional phrases in the position after a noun across the two languages. The comparison of original texts shows that the function of postmodifier is most frequent in both languages, with adverbial in second place. Other functions are rare. English has more postmodifiers and fewer adverbials than Norwegian. Furthermore, the prepositional phrases express locative meaning, in both functions, more frequently in Norwegian than in English. The study of translations reveals that the adverbials have congruent correspondences more often than postmodifiers, particularly in translations from English into Norwegian.

scholarly journals Estimates of genetic and phenotypic parameters in a segregant population of rice irrigated by continuous flooding

1997 ◽  
Vol 20 (3) ◽  
pp. 429-434
Author(s):  
Patrícia Guimarães Santos ◽  
Antônio Alves Soares ◽  
Magno A.P. Ramalho
Keyword(s):  
Experimental Design ◽  
Genetic Variability ◽  
Grain Yield ◽  
Variance Components ◽  
Recurrent Selection ◽  
Pyricularia Grisea ◽  
Realized Heritability ◽  
Average Yield ◽  
Neck Blast ◽  
Using Data

Estimates of genetic and phenotypic parameters were obtained by using data from families of a recurrent selection program in rice. An experiment using population CNA-IRAT 4ME/1/1 was conducted at two locations (Lambari and Cambuquira) in the State of Minas Gerais, Brazil. At Lambari, families S0:2 and S0:3 were assessed during crop seasons 1992/1993 and 1993/1994, respectively. In the Cambuquira trial, only S0:3 families were tested in 1993/1994. The experimental design was a 10 x 10 lattice with three replications. The following traits were assessed: grain yield (GY), mean number of days to flowering (FL), plant height (PH), and the incidence of neck blast (NB) caused by Pyricularia grisea and grain staining (GS) caused by Drechslera oryzae. This population proved to be promising for recurrent selection, as it had high average yield and genetic variability. Heritability estimates obtained using variance components were generally greater than estimates of realized heritability, and heritability obtained by parent-offspring regression

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