Incomplete Acquisition Research Articles

Combining Semantic and Structural Features for Reasoning on Patent Knowledge Graphs

To address the limitations in capturing complex semantic features between entities and the incomplete acquisition of entity and relationship information by existing patent knowledge graph reasoning algorithms, we propose a reasoning method that integrates semantic and structural features for patent knowledge graphs, denoted as SS-DSA. Initially, to facilitate the model representation of patent information, a directed graph representation model based on the patent knowledge graph is designed. Subsequently, structural information within the knowledge graph is mined using inductive learning, which is combined with the learning of graph structural features. Finally, an attention mechanism is employed to integrate the scoring results, enhancing the accuracy of reasoning outcomes such as patent classification, latent inter-entity relationships, and new knowledge inference. Experimental results demonstrate that the improved algorithm achieves an up to approximately 30% increase in the MRR index compared to the ComplEx model in the public Dataset 1; in Dataset 2, the MRR and Hits@n indexes, respectively, saw maximal improvements of nearly 30% and 112% when compared with MLMLM and ComplEx models; in Dataset 3, the MRR and Hits@n indexes realized maximal enhancements of nearly 200% and 40% in comparison with the MLMLM model. This effectively proves the efficacy of the refined model in the reasoning process. Compared to recently widely applied reasoning algorithms, it offers a superior capability in addressing complex structures within the datasets and accomplishing the completion of existing patent knowledge graphs.

Three-Dimensional Transperineal Ultrasound Assessment of the Anal Sphincter Immediately After Vaginal Birth: An Exploratory Study.

To assess the feasibility of acquiring adequate transperineal ultrasound (TPUS) volumes of the anal sphincter (AS) immediately after vaginal birth, the reproducibility of its measurements, and detecting defects therein. Secondary analysis of TPUS volumes of the AS, acquired immediately after vaginal birth with a transversely oriented convex probe. Two independent experts ranked off-line image quality as "inadequate," "adequate," or "ideal" using the Point-of-Care Ultrasound Image Quality scale. On "adequate" and "ideal" quality volumes, the length of the external AS at 6 and 12 o'clock, and the volume of the external and internal AS were measured. Additionally, volumes were screened for AS defects on tomographic ultrasound imaging. Subsequently, we rated the intra- and interrater agreement on those findings. Of 183 volumes, 162 were considered "adequate" or of "ideal" quality (88.5%). Reasons for "inadequacy" were shadow artifacts (16/21), poor resolution (3/21), incomplete acquisition (1/21), or aberrant AS morphology (1/21). The intrarater reliability of two-dimensional (2D) and three-dimensional (3D) measurements was excellent, whereas interrater reliability was fair to good for 2D measurements and good for 3D measurements. In those tomographic ultrasound imaging (TUI) sequences including AS defects, the intra- and interrater reliability of the defect measurement were excellent [intraclass correlation coefficient (ICC) = 0.92 (0.80-0.94)] and moderate [ICC = 0.72 (0.63-0.79)]. In this cohort, there were only few (4/48; 8.3%) AS defects. However, grading them was poorly reproducible between experts. TPUS of the AS immediately after vaginal birth yields adequate image quality and allows for reproducible measurements. In the few patients with AS defects, there was good agreement on the presence, but it was poor for the extent of defects.

Acquiring differential object marking in heritage Spanish: Late childhood to adulthood

Aims/objectives/purpose/research questions: The present study evaluated child and adult heritage speakers’ (HSs) productive and receptive knowledge of differential object marking (DOM) and addressed the roles of age, proficiency, and frequency of use in explaining variability. Design/methodology/approach: A total of 127 participants completed a sentence completion task (SCT) and a morphology selection task (MST) targeting DOM with animate and specific direct objects. Fifth grade, seventh/eighth grade, and adult HS groups participated alongside a group of Spanish-dominant bilingual adults. Data and analysis: All responses were coded for DOM and submitted to binomial logistic regressions, which included effects for group, task, proficiency, and frequency of use of Spanish. Findings and conclusions: HSs’ DOM production and selection increased across age groups. Proficiency modulated differences between HSs of all ages and participants were more likely to select DOM than to produce it, particularly if they used Spanish less frequently. All HSs produced and selected DOM at least one time, but many differed from Spanish-dominant bilingual adults. Originality: This study is the first to plot the course of development across late childhood and into adulthood in Spanish HSs that incorporates both a production task and a receptive measure to explore HSs’ holistic linguistic systems. Significance/implications: These findings show that there are factors that can account for variability in the production and selection of DOM at the group, individual, and within-speaker levels. This has implications for theories of acquisition: gradient knowledge is inconsistent with incomplete acquisition of DOM, but the increase in knowledge across age groups does not support feature reassembly.

Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans.

Due to the high attenuation of metals, severe artifacts occur in cone beam computed tomography (CBCT). The metal segmentation in CBCT projections usually serves as a prerequisite for metal artifact reduction (MAR)algorithms. The occurrence of truncation caused by the limited detector size leads to the incomplete acquisition of metal masks from the threshold-based method in CBCT volume. Therefore, segmenting metal directly in CBCT projections is pursued in thiswork. Since the generation of high quality clinical training data is a constant challenge, this study proposes to generate simulated digital radiographs (dataI) based on real CT data combined with self-designed computer aided design (CAD) implants. In addition to the simulated projections generated from 3D volumes, 2D x-ray images combined with projections of implants serve as the complementary data set (dataII) to improve the network performance. In this work, SwinConvUNet consisting of shift window (Swin) vision transformers (ViTs) with patch merging as encoder is proposed for metalsegmentation. The model's performance is evaluated on accurately labeled test datasets obtained from cadaver scans as well as the unlabeled clinical projections. When trained on the dataI only, the convolutional neural network (CNN) encoder-based networks UNet and TransUNet achieve only limited performance on the cadaver test data, with an average dice score of 0.821 and 0.850. After using both dataII and dataI during training, the average dice scores for the two models increase to 0.906 and 0.919, respectively. By replacing the CNN encoder with Swin transformer, the proposed SwinConvUNet reaches an average dice score of 0.933 for cadaver projections when only trained on the dataI. Furthermore, SwinConvUNet has the largest average dice score of 0.953 for cadaver projections when trained on the combined dataset. Our experiments quantitatively demonstrate the effectiveness of the combination of the projections simulated under two pathways for network training. Besides, the proposed SwinConvUNet trained on the simulated projections performs state-of-the-art, robust metal segmentation as demonstrated on experiments on cadaver and clinical data sets. With the accurate segmentations from the proposed model, MAR can be conducted even for highly truncated CBCTscans.

Simultaneous waveform inversion of seismic-while-drilling data for P-wave velocity, density, and source parameters

Full-waveform inversion (FWI), as an optimization-based approach to estimating subsurface models, is limited by incomplete acquisition and illumination of the subsurface. The incorporation of additional data from new and independent raypaths should be expected to result in significant increase in the accuracy of FWI models. In principle, seismic-while-drilling (SWD) technology can supply these additional raypaths; however, it introduces a new suite of unknowns, namely precise source locations (i.e., drilling path), source signature, and radiation characteristics. A new FWI algorithm is formulated in which the source radiation patterns and positions join the velocity and density values of the grid cells as unknowns to be determined. Several numerical inversion experiments are then conducted with different source settings using a synthetic model. The SWD sources are supplemented by explosive sources and multicomponent receivers at the surface, simulating a conventional surface acquisition geometry. The subsurface model and SWD source properties are recovered and analyzed. The analysis is suggestive that SWD involvement can enhance the accuracy of FWI models, with varying degrees of enhancement depending on factors such as trajectory inclination, source density, and drill path extension. The impact of SWD-FWI over standard FWI is reduced when low-frequency data are missing, but improvements over the models constructed with no subsurface sources remain. This formulation permits general source information, such as position and moment tensor components, to be independently obtained. This inversion scheme may lead to a range of potential applications for which medium properties and source information are required.

Aspectual se and Telicity in Heritage Spanish Bilinguals: The Effects of Lexical Access, Dominance, Age of Acquisition, and Patterns of Language Use

While differences in the production and acceptability of aspectual inflectional morphology between Spanish–English heritage and monolingually raised speakers of Spanish have been argued to support incomplete acquisition approaches to heritage language acquisition, other approaches have argued that differences in access (e.g., lexical access) to representations for receptive and productive purposes are at the core of some of the unique characteristics of heritage language data. We investigate these issues by focusing on the effects of lexical access, dominance, age of acquisition and patterns of language use in heritage Spanish–English bilinguals. We study aspectual se in Spanish, which yields telic interpretations, in expressions such as María se comió la manzana ‘María ate the apple (completely)’ and Maria ate the apple (where completion may not be reached). Our results indicate that se generates telic interpretations for the heritage and monolingually raised group with no group effect. Heritage speakers showed no English effects in terms of lexical access, age of acquisition, patterns of language use or dominance. This suggests that the heritage group did not differ from their monolingually raised counterparts and showed no evidence of incomplete acquisition of telicity.

Use of the first-acquired language modulates pupil size in the processing of island constraint violations.

Traditional studies of the population called "heritage speakers" (HS) have treated this group as distinct from other bilingual populations, e.g., simultaneous or late bilinguals (LB), focusing on group differences in the competencies of the first-acquired language or "heritage language". While several explanations have been proposed for such differences (e.g., incomplete acquisition, attrition, differential processing mechanisms), few have taken into consideration the individual variation that must occur, due to the fluctuation of factors such as exposure and use that characterize all bilinguals. In addition, few studies have used implicit measures, e.g., psychophysiological methods (ERPs; Eye-tracking), that can circumvent confounding variables such as resorting to conscious metalinguistic knowledge. This study uses pupillometry, a method that has only recently been used in psycholinguistic studies of bilingualism, to investigate pupillary responses to three syntactic island constructions in two groups of Spanish/English bilinguals: heritage speakers and late bilinguals. Data were analyzed using generalized additive mixed effects models (GAMMs) and two models were created and compared to one another: one with group (LB/HS) and the other with groups collapsed and current and historical use of Spanish as continuous variables. Results show that group-based models generally yield conflicting results while models collapsing groups and having usage as a predictor yield consistent ones. In particular, current use predicts sensitivity to L1 ungrammaticality across both HS and LB populations. We conclude that individual variation, as measured by use, is a critical factor tha must be taken into account in the description of the language competencies and processing of heritage and late bilinguals alike.

A tutorial of image-domain least-squares reverse time migration through point-spread functions

Least-squares reverse time migration (LSRTM) has shown great potential to improve the amplitude fidelity and spatial resolution of a reverse time migration (RTM) image. However, the main disadvantage is that it requires significant computational resources for the iterative solution. To ameliorate this problem, the image-domain LSRTM (IDLSRTM) approach through point-spread functions (PSFs) has been proven to be a viable and alternative technique to deconvolve the standard RTM image. In this paper, we develop a tutorial for the numerical implementation of IDLSRTM through PSFs. The Hessian matrix in the standard IDLSRTM approach is estimated through the spatial interpolation of precomputed PSFs on the fly, where the PSFs are computed by one-round forward modeling and migration. However, the resulting IDLSRTM scheme is highly ill-conditioned because of the incomplete acquisition condition, irregular subsurface illumination, and band-limited data. To stabilize inversion and improve the inverted image, we suggest that the PSFs and RTM images should be deblurred by applying a deblurring filter. The deblurring PSFs can reduce the condition number of the standard Hessian matrix and make the inverse problem more well conditioned, thus improving imaging quality and accelerating convergence. Furthermore, the regularization operators should be imposed to produce a reasonable inverted image and avoid the overfitting of the image-matching term. Based on several examples with synthetic and field data, we can conclude two significant points. The first point is that the standard IDLSRTM approach through the conventional PSFs can only recover a reflectivity image similar to the deblurring RTM and nonstationary matching filter (NMF) approaches. The second point is that the deblurring IDLSRTM approach through the deblurring PSFs can retrieve the reflectivity image with higher resolution and better amplitude fidelity than the standard IDLSRTM approach and the standard RTM approach with the deblurring filter or NMF.

Human Motion Pattern Recognition and Feature Extraction: An Approach Using Multi-Information Fusion.

An exoskeleton is a kind of intelligent wearable device with bioelectronics and biomechanics. To realize its effective assistance to the human body, an exoskeleton needs to recognize the real time movement pattern of the human body in order to make corresponding movements at the right time. However, it is of great difficulty for an exoskeleton to fully identify human motion patterns, which are mainly manifested as incomplete acquisition of lower limb motion information, poor feature extraction ability, and complicated steps. Aiming at the above consideration, the motion mechanisms of human lower limbs have been analyzed in this paper, and a set of wearable bioelectronics devices are introduced based on an electromyography (EMG) sensor and inertial measurement unit (IMU), which help to obtain biological and kinematic information of the lower limb. Then, the Dual Stream convolutional neural network (CNN)-ReliefF was presented to extract features from the fusion sensors’ data, which were input into four different classifiers to obtain the recognition accuracy of human motion patterns. Compared with a single sensor (EMG or IMU) and single stream CNN or manual designed feature extraction methods, the feature extraction based on Dual Stream CNN-ReliefF shows better performance in terms of visualization performance and recognition accuracy. This method was used to extract features from EMG and IMU data of six subjects and input these features into four different classifiers. The motion pattern recognition accuracy of each subject under the four classifiers is above 97%, with the highest average recognition accuracy reaching 99.12%. It can be concluded that the wearable bioelectronics device and Dual Stream CNN-ReliefF feature extraction method proposed in this paper enhanced an exoskeleton’s ability to capture human movement patterns, thus providing optimal assistance to the human body at the appropriate time. Therefore, it can provide a novel approach for improving the human-machine interaction of exoskeletons.

An Efficient and Stable High‐Resolution Seismic Imaging Method: Point‐Spread Function Deconvolution

AbstractBy fitting observed data with predicted seismograms, least‐squares migration (LSM) computes a generalized inverse for a subsurface reflectivity model, which can improve image resolution and reduce artifacts caused by incomplete acquisition. However, the large computational cost of LSM required for simulations and migrations limits its wide applications for large‐scale imaging problems. Using point‐spread function (PSF) deconvolution, we present an efficient and stable high‐resolution imaging method. The PSFs are first computed on a coarse grid using local ray‐based Gaussian beam Born modeling and migration. Then, we interpolate the PSFs onto a fine‐image grid and apply a high‐dimensional Gaussian function to attenuate artifacts far away from the PSF centers. With 2D/3D partition of unity, we decompose the traditional adjoint migration results into local images with the same window size as the PSFs. Then, these local images are deconvolved by the PSFs in the wavenumber domain to reduce the effects of the band‐limited source function and compensate for irregular subsurface illumination. The final assembled image is obtained by applying the inverse of the partitions for the deconvolved local images. Numerical examples for both synthetic and field data demonstrate that the proposed PSF deconvolution can significantly improve image resolution and amplitudes for deep structures, while not being sensitive to velocity errors as the data‐domain LSM.

Cognitive inhibition explains children’s production of medial wh-phrases

ABSTRACT Non-adult-like linguistic behavior in children is sometimes taken as evidence for endogenous factors that drive selection of grammatical features from the child’s hypothesis space of possible grammars. Analyses of English-acquiring children’s productions of medial wh-phrases exemplify this trend in particular. We provide an alternative account of these productions as performance errors arising from underdeveloped cognitive inhibition. We offer experimental evidence in favor of our failure of inhibition account. The results argue against treating these errors as reflecting incomplete or non-target acquisition of grammatical features. Instead, the results support a theory of how these errors arise and are subsequently purged from children’s productions that reduces to a theory of how cognitive inhibition develops during childhood.

Changes in spatial frames of reference use in Iwaidja in different intergenerational contexts

Abstract Research into sociocultural factors affecting the use of spatial frames of reference (FoR) has begun to move away from characterizing FoR choice as inherent to each language, instead emphasizing variation within speech communities, but has so far paid little attention to variation in individual speaker’s FoR use with different addressees. This paper reports on differences in two senior adults’ use of FoRs in Iwaidja when addressing a peer compared to addressing a child. Performing the Man and Tree task, the speakers made frequent use of geocentric descriptions with their peers, and substantially fewer geocentric descriptions with a child. The study was conducted in a complex multilingual speech environment where younger generations’ language use is shifting away from Iwaidja towards English and to other Australian languages. Factors motivating the different FoR choices in child-directed speech may include elements of parentese and accommodation to the children’s incomplete acquisition of Iwaidja. The children’s contact with English, particularly through schooling, may affect the adults’ expectations of the children’s acquisition of frames of reference in English. Drawing attention to the impact of the addressee in spatial speech, this study adds to understanding sociocultural elements of spatial reference in the context of language contact and shift.

The Phonological System of TumɁi

As part of a linguistic research team I recorded a Khoisan language currently spoken by three people in the Northern Cape province of South Africa. Since the variety of language spoken in this location is close to varieties of both the Khoekhoe and Tuu language families, the question of genetic affiliation and classification within the Khoisan language cluster becomes significant. Although reported to have significant lexical similarities due to intensive language contact (Güldemann 2006), extensive research provides evidence of numerous linguistic differences which distinguish between the varieties within the Khoisan families mentioned above (Beach 1938, Bleek 1930, Ladefoged & Traill 1994, Miller, Brugman, Sands, Namaseb, Exter & Collins 2007). Overall, this project attempts to answer the question: How unique is this undocumented language TumɁi in comparison to varieties of geographically neighbouring Khoisan language clusters? This comparative analysis is comprised of a detailed description of the vowel and consonant systems, as well as evidence of phonetic and phonological contrasts. The clear focus on the analysis of sound contrasts is a consequence of limited data due to speaker competence. As a result of intense incomplete acquisition and linguistic attrition, the consultants produce utterances using Khoisan content words within an Afrikaans framework (Killian 2009). Specific research questions include: What is the sound inventory of this language? Are there phonation or glottalization contrasts in vowels? Are there laryngeal contrasts in consonants? What kinds of clicks make up the inventory? This project is a direct effort toward the revitalization and documentation of indigenous languages. Determining the genetic affiliations of this language which is positioned relatively equidistant to the surrounding languages, would also contribute to gaps within the linguistic isoglosses in South Africa.

3-D Image-Domain Least-Squares Reverse Time Migration With L1 Norm Constraint and Total Variation Regularization

Data-domain least-squares reverse time migration (DDLSRTM) has been proved to be a more effective imaging tool for complex structures, relative to the standard reverse time migration (RTM) approach. One of the difficulties in DDLSRTM is that the enormous computational costs may impede its application in large-scale 3D data. To mitigate this problem, with the help of point spread functions (PSFs) and spatial interpolation, we have developed a novel 3D image-domain least-squares reverse time migration (IDLSRTM) approach, which requires once migration and modeling calculations. However, because of the incomplete acquisition geometry of seismic recordings, IDLSRTM is a highly ill-posed inverse problem. The inverted image from the conventional IDLSRTM approach may suffer from the migration artifacts caused by the coarse source and receiver sampling and spatial discontinuity and instability caused by the truncated PSFs. To solve the ill-posedness and improve image quality, the L1 norm constraint and total variation (TV) regularization are introduced into the objective function of IDLSRTM. The alternating direction method of multipliers (ADMM) algorithm is developed to solve this optimization problem. Through some 3D synthetic and field data, it can determine that the proposed IDLSRTM approach computationally efficient produces a high-fidelity reflection image with good spatial continuity and fewer migration artifacts. It has shown this approach to be a cost-effective and practical inversion-based imaging tool for 3D field datasets.

Language activation in dual language schools: the development of subject-verb agreement in the English and Spanish of heritage speaker children

ABSTRACT Cross-linguistically, monolingual children produce target-like inflected verbs much earlier than they can reliably distinguish between singular and plural subject-verb agreement morphology in comprehension (i.e. Johnson, V., J. de Villiers, and H. Seymour. 2005. “Agreement Without Understanding? The Case of Third Person Singular /s/.” First Language 25: 317-333; Pérez-Leroux, A. T. 2005. “Number Problems in Children.” In Proceedings of the 2005 Annual Conference of the Canadian Linguistics Association, edited by C. Gurski, 1-12. https://cla-acl.artsci.utoronto.ca/wp-content/uploads/actes-2005/Perez-Leroux.pdf). In heritage speakers, Spanish agreement morphology shows optionality due to reduced input, especially when children transition to English schooling (i.e. Montrul, S. 2004. The Acquisition of Spanish: Morphosyntactic Development in Monolingual and Bilingual L1 Acquisition and Adult L2 Acquisition. Amsterdam: John Benjamins; Jacobson, P. 2012. “The Effects of Language Impairment on the use of Direct Object Pronouns and Verb Inflections in Heritage Spanish Speakers: A Look at Attrition, Incomplete Acquisition and Maintenance.” Bilingualism: Language and Cognition 15 (1): 22–38). We investigate how simultaneous heritage bilingual children’s interpretation and use of subject-verb agreement in English and Spanish may be modulated by increased input and activation of Spanish in dual language education (DLE). 125 participants aged 3–7 (42 heritage children, 40 English monolinguals, 39 Spanish-dominant children) took part in a fill-in-the-blanks task and a picture-matching task. In English, bilingual comprehension accuracy surpassed that of the monolinguals. In Spanish, bilingual production lagged behind that of the Spanish-dominant children and language output was found to be a greater predictor of productive accuracy than increased activation of Spanish in DLE. The implications of these results for theories of bilingualism and DLE are discussed.

The L2 Acquisition of French Interrogatives: Pragmatic Inferences in Clefted wh-Questions

The present study aims to elaborate on the understanding of the second language (L2) acquisition of French interrogatives by focusing on clefted (subject) wh-questions, structures that are largely absent in prior L2 literature. Our research question addresses how L2 learners of French understand two specific properties associated with these interrogatives: existence and exhaustivity. Using two rating tasks, we examined whether a total of 48 L2 learners converge towards the native norm for these properties, which occur at the syntax-discourse interface and may therefore be vulnerable to incomplete acquisition, following the Interface Hypothesis. Our findings suggest that L2 learners at the intermediate level acquire an understanding of the existential inference before an understanding of exhaustivity.

Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation

Multidimensional deconvolution constitutes an essential operation in a variety of geophysical scenarios at different scales ranging from reservoir to crustal, as it appears in applications such as surface multiple elimination, target-oriented redatuming, and interferometric body-wave retrieval just to name a few. Depending on the use case, active, microseismic, or teleseismic signals are used to reconstruct the broadband response that would have been recorded between two observation points as if one were a virtual source. Reconstructing such a response relies on the the solution of an ill-conditioned linear inverse problem sensitive to noise and artifacts due to incomplete acquisition, limited sources, and band-limited data. Typically, this inversion is performed in the Fourier domain where the inverse problem is solved per frequency via direct or iterative solvers. While this inversion is in theory meant to remove spurious events from cross-correlation gathers and to correct amplitudes, difficulties arise in the estimation of optimal regularization parameters, which are worsened by the fact they must be estimated at each frequency independently. Here we show the benefits of formulating the problem in the time domain and introduce a number of physical constraints that naturally drive the inversion towards a reduced set of stable, meaningful solutions. By exploiting reciprocity, time causality, and frequency-wavenumber locality a set of preconditioners are included at minimal additional cost as a way to alleviate the dependency on an optimal damping parameter to stabilize the inversion. With an interferometric redatuming example, we demonstrate how our time domain implementation successfully reconstructs the overburden-free reflection response beneath a complex salt body from noise-contaminated up- and down-going transmission responses at the target level.

French as a Heritage Language in Germany

Research on child heritage speakers (HSs) has shown successful language acquisition, comparable to monolinguals, whereas research on adult HSs often claims incomplete acquisition. This seems to be an evident contradiction in the current state of research, which may be explained by a possible language shift during adolescence or adulthood, but which does not necessarily have to be equated with a lack of competence. In an overview of the existing studies on child and adult HSs of French in Germany, we show that HSs are not incomplete acquirers of French and we suggest theoretical and practical implications following these findings. Our aim is to show, first, that HSs of French in Germany are not unanimously disadvantaged compared with French speakers in countries where French is a majority language, and second, that complete acquisition is independent of language dominance, a notion that has received particular attention in studies on multilingual and HL acquisition.

Acceptability of Different Psychological Verbal Constructions by Heritage Spanish Speakers from California

This study set out to investigate whether US Heritage Spanish features a more streamlined verbal paradigm in psych verb constructions compared to standard varieties of Spanish, where HS speakers find an invariable third-person singular form acceptable with both singular and plural grammatical subjects. In standard Spanish, the semantic subjects of psych verbs are typically pre-verbal experiencers cast as oblique arguments in inverse predicates such as in me encantan los buhos ‘I love owls’. The translation of this sentence shows that equivalent English predicates are typically direct constructions. The data were gathered using an acceptability judgement questionnaire that was distributed to participants that fit into one of three groups: early bilingual heritage speakers of Spanish from California, advanced Spanish as L2 speakers, and non-bilingual native speakers of Spanish who had learnt English as an L2 as adults. The Heritage Spanish speakers in this group often patterned differently from both other groups, who surprisingly patterned together. We argue that this is due to L2 speakers’ mode of acquisition (formal and subject to prescriptive grammar), in comparison with Heritage Spanish speakers’ naturalistic acquisition. Specifically, we find evidence for a streamlining of the Spanish verbal paradigm not immediately attributed to English interference, and that in psych verb constructions, Heritage Spanish speakers more readily accept a third-person singular invariable verbal form. This differentiation of the verbal paradigm from standard Spanish use should be considered a bona fide linguistic change, but not proof of either incomplete acquisition or language attrition. Since Heritage Spanish speakers are, after all, native speakers of Spanish, this study shows that Heritage Spanish should be considered and studied as any other dialect of Spanish, with its distinctive grammatical features, and subject to variability and change.

When a cross-linguistic tendency marries incomplete acquisition: Preposition drop in Russian spoken in Daghestan

Aims and Objectives/Purpose/Research Questions: The purpose of the study is to figure out what factors condition the phenomenon of preposition drop (P-drop) in locative, directional and temporal phrases. Specifically, we investigate what kind of phrases allow P-drop in Russian spoken in Highland Daghestan and aim at understanding the rationale for this phenomenon. Design/Methodology/Approach: We conduct a quantitative analysis of data extracted from the Corpus of Russian spoken in Daghestan, which includes interviews with 53 native speakers of 15 Daghestanian and Turkic languages, amounting to 228 thousand tokens. Data and Analysis: Data from 47 (29 male; 18 female) consultants speaking Russian as a second language (L2) who produced a sufficient number of prepositional phrases (PPs) were included in the analysis. 50 PPs were collected from each speaker, resulting in a data set of 2350 PPs. Each PP was annotated for P-drop and several sociolinguistic and linguistic parameters. We fitted a logistic mixed-effects regression model to determine which parameters are significant predictors of P-drop. Findings/Conclusions: We show that the probability of P-drop depends on preposition type, phonetic context and the speaker’s fluency in Russian. We propose that the prominence of P-drop in the speech of Daghestanian highlanders results from an interplay of two factors: a typological tendency for certain spatial and temporal locations to be formally unmarked, and incomplete acquisition of the Russian prepositional system. Originality: This is the first detailed quantitative study of P-drop based on an inferential statistical analysis of data from a large number of L2 Russian speakers from Daghestan. Significance/Implications: The results show that the apparently contact-induced phenomena such as P-drop may be explained both by typological tendencies and incomplete acquisition of L2. This paper is thus important both for the typological study of this phenomenon and for L2 acquisition research.