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Language and aging research
(2019)
Our introduction to the special collection gives an overview of the research projects which were originally presented at the third CLARe network conference. We group the research under four cross-sectional topics that unite the different contributions: the data used in the research, the theoretical frameworks, the languages and varieties which are represented and the situational contexts which are examined. These projects represent the current state of research in this field and allows the reader to orient themselves within this diverse field but also leaves many questions open and provides impetus for future lines of research. The interaction and collaboration between diverse disciplines is the central aspect which unites all contributions to the special collection.
This study is concerned with repair practices that a teacher and students employ to restore intersubjectivity when faced with interactional problems in a Content and Language Integrated Learning (CLIL) classroom. Adopting a conversation analytic (CA) approach, it examines the interactional treatment of students’ verbal and embodied trouble displays in a video-recorded, teacher-fronted geography lesson held in English at a German high school. At the same time, it explores to what extent the repair practices employed are fitted to this specific interactional context. The analysis shows that students’ verbal trouble displays often result in extensive repair sequences, whereas students’ embodied trouble displays are usually met with teacher self-repair in the transition space. In this way, the latter are resolved much earlier and more quickly. The study further reveals practices like reformulation and translation to be especially useful for repairing interactional problems in classrooms in which a foreign language is used as the medium of instruction. The findings may be of interest for prospective as well as practicing teachers in that they provide relevant insights into how interactional trouble can be successfully managed in (CLIL) classroom interaction.
The current study investigates how bilingual children encode and produce morphologically complex words. We employed a silent-production-plus-delayed-vocalization paradigm in which event-related brain potentials (ERPs) were recorded during silent encoding of inflected words which were subsequently cued to be overtly produced. The bilingual children's spoken responses and their ERPs were compared to previous datasets from monolingual children on the same task. We found an enhanced negativity for regular relative to irregular forms during silent production in both bilingual children's languages, replicating the ERP effect previously obtained from monolingual children. Nevertheless, the bilingual children produced more morphological errors (viz. over-regularizations) than monolingual children. We conclude that mechanisms of morphological encoding (as measured by ERPs) are parallel for bilingual and monolingual children, and that the increased over-regularization rates are due to their reduced exposure to each of the two languages (relative to monolingual children).
This paper presents a combination of R packages-user contributed toolkits written in a common core programming language-to facilitate the humanistic investigation of digitised, text-based corpora.Our survey of text analysis packages includes those of our own creation (cleanNLP and fasttextM) as well as packages built by other research groups (stringi, readtext, hyphenatr, quanteda, and hunspell). By operating on generic object types, these packages unite research innovations in corpus linguistics, natural language processing, machine learning, statistics, and digital humanities. We begin by extrapolating on the theoretical benefits of R as an elaborate gluing language for bringing together several areas of expertise and compare it to linguistic concordancers and other tool-based approaches to text analysis in the digital humanities. We then showcase the practical benefits of an ecosystem by illustrating how R packages have been integrated into a digital humanities project. Throughout, the focus is on moving beyond the bag-of-words, lexical frequency model by incorporating linguistically-driven analyses in research.
The field of cognitive aging has seen considerable advances in describing the linguistic and semantic changes that happen during the adult life span to uncover the structure of the mental lexicon (i.e., the mental repository of lexical and conceptual representations). Nevertheless, there is still debate concerning the sources of these changes, including the role of environmental exposure and several cognitive mechanisms associated with learning, representation, and retrieval of information. We review the current status of research in this field and outline a framework that promises to assess the contribution of both ecological and psychological aspects to the aging lexicon.
Methods: The data of 89 PD patients with dysphagia who underwent routinely conducted videofluoroscopic studies of swallowing (VFSS) were included in this retrospective study. The occurrence of penetration-aspiration was defined as scores >= 3 on the Penetration-Aspiration Scale (PAS). Four commonly reported signs of dysphagia in PD patients were evaluated as possible predictors. Furthermore, the relationships between the occurrence of penetration-aspiration and liquid bolus volume as well as clinical severity of PD (modified Hoehn and Yahr scale) were examined. Results: Logistic regression showed that a delayed initiation of the pharyngeal swallow (odds ratio [OR] = 7.47, P = .008) and a reduced hyolaryngeal excursion (OR = 5.13, P = .012) were predictors of penetration-aspiration. Moreover, there was a strong, positive correlation between increasing liquid bolus volume and penetration-aspiration (gamma = 0.71, P < .001). No correlation was found between severity of PD and penetration-aspiration (gamma = 0.077, P = .783). Conclusion: Results of the present study allow for a better understanding of penetration-aspiration risk in PD patients. They are useful for treatment planning in order to improve safe oral intake and adequate nutrition.
What’s Symmetrical?
(2019)
This chapter investigates teacher management of learner turns in an American second-grade classroom during a read-aloud activity. A read-aloud is a whole-group instructional activity which involves a teacher read-ing aloud a book to a cohort of students as they listen (Tainio & Slotte, 2017). Using ethnomethodological conversation analysis (EMCA) and drawing on the concepts of alignment and affi liation (Steensig, 2012; Stivers, 2008; Stivers et al., 2011), we investigate how embodied practices such as gaze, facial expressions, body positioning and gestures in addition to verbal practices are used by the teacher separately and together to respond to learner turns in ways that keep the learners aff ectively engaged and, at the same time, ensure the orderly progression of the lesson. Our analysis shows that teacher cooperative management of learners’ turns involves: (1) orient-ing to them as affi liative tokens in order to neutralize their disaligning force while still treating learners as cooperative participants in the activity; and (2) managing turns not only according to their sequential positions and the actions they project but, just as importantly, to the larger instructional proj-ect being accomplished. The study contributes to the re-specifi cation of the everyday grounds of teaching in order to broaden understandings of the specialized nature of such work (Macbeth, 2014).
Children's online use of word order and morphosyntactic markers in Tagalog thematic role assignment
(2019)
We investigated whether Tagalog-speaking children incrementally interpret the first noun as the agent, even if verbal and nominal markers for assigning thematic roles are given early in Tagalog sentences. We asked five- and seven-year-old children and adult controls to select which of two pictures of reversible actions matched the sentence they heard, while their looks to the pictures were tracked. Accuracy and eye-tracking data showed that agent-initial sentences were easier to comprehend than patient-initial sentences, but the effect of word order was modulated by voice. Moreover, our eye-tracking data provided evidence that, by the first noun phrase, seven-year-old children looked more to the target in the agent-initial compared to the patient-initial conditions, but this word order advantage was no longer observed by the second noun phrase. The findings support language processing and acquisition models which emphasize the role of frequency in developing heuristic strategies (e.g., Chang, Dell, & Bock, 2006).
Matching participants (as suggested by Hope, 2015) may be one promising option for research on a potential bilingual advantage in executive functions (EF). In this study we first compared performances in three EF-tasks of a naturally heterogeneous sample of monolingual (n = 69, age = 9.0 y) and multilingual children (n = 57, age = 9.3 y). Secondly, we meticulously matched participants pairwise to obtain two highly homogeneous groups to rerun our analysis and investigate a potential bilingual advantage. The initally disadvantaged multilinguals (regarding socioeconomic status and German lexicon size) performed worse in updating and response inhibition, but similarly in interference inhibition. This indicates that superior EF compensate for the detrimental effects of the background variables. After matching children pairwise on age, gender, intelligence, socioeconomic status and German lexicon size, performances became similar except for interference inhibition. Here, an advantage for multilinguals in the form of globally reduced reaction times emerged, indicating a bilingual executive processing advantage.
Purpose: The aims of this systematic review are to provide a critical overview of short-term memory (STM) and working memory (WM) treatments in stroke aphasia and to systematically evaluate the internal and external validity of STM/WM treatments. Method: A systematic search was conducted in February 2014 and then updated in December 2016 using 13 electronic databases. We provided descriptive characteristics of the included studies and assessed their methodological quality using the Risk of Bias in N-of-1 Trials quantitative scale (Tate et al., 2015), which was completed by 2 independent raters. Results: The systematic search and inclusion/exclusion procedure yielded 17 single-case or case-series studies with 37 participants for inclusion. Nine studies targeted auditory STM consisting of repetition and/or recognition tasks, whereas 8 targeted attention and WM, such as attention process training including n-back tasks with shapes and clock faces as well as mental math tasks. In terms of their methodological quality, quality scores on the Risk of Bias in N-of-1 Trials scale ranged from 4 to 17 (M = 9.5) on a 0-30 scale, indicating a high risk of bias in the reviewed studies. Effects of treatment were most frequently assessed on STM, WM, and spoken language comprehension. Transfer effects on communication and memory in activities of daily living were tested in only 5 studies. Conclusions: Methodological limitations of the reviewed studies make it difficult, at present, to draw firm conclusions about the effects of STM/WM treatments in poststroke aphasia. Further studies with more rigorous methodology and stronger experimental control are needed to determine the beneficial effects of this type of intervention. To understand the underlying mechanisms of STM/WM treatment effects and how they relate to language functioning, a careful choice of outcome measures and specific hypotheses about potential improvements on these measures are required. Future studies need to include outcome measures of memory functioning in everyday life and psychosocial functioning more generally to demonstrate the ecological validity of STM and WM treatments.
It is widely acknowledged that fixed expressions such as idioms have a processing advantage over non-idiomatic language. While many idioms are metaphoric, metonymic, or even literal, the effect of varying nonliteralness in their processing has not been much researched yet. Theoretical and empirical findings suggest that metonymies are easier to process than metaphors but it is unclear whether this applies to idioms. Two self-paced reading experiments test whether metonymic, metaphoric, or literal idioms have a greater processing advantage over non-idiomatic control sentences, and whether this is caused by varying nonliteralness. Both studies find that metonymic and literal idioms are read significantly faster than controls, while the advantage for metaphoric idioms is only tenuous. Only experiment 2 finds literal idioms to be read fastest of all. As compositionality of the idioms cannot account for these findings, some effect of nonliteralness is suggested, together with idiomaticity and the sentential context.
Words as social tools
(2019)
Metaphor and metonymy are likely the most common forms of non-literal language. As metaphor and metonymy differ conceptually and in how easy they are to comprehend, it seems likely that they also differ in their degree of non-literalness. They frequently occur in idioms which are foremost non-literal, fixed expressions. Given that non-literalness seems to be the defining criterion of what constitutes an idiom, it is striking that no study so far has focused specifically on differing non-literalness in idioms. It is unclear whether and how metaphoric and metonymic structures and their properties are perceived in idioms, given that the comprehension of idioms is driven by a number of other properties that are connected. This study divides idioms according to their metonymic or metaphoric structure and lets participants rate their non-literalness, familiarity, and transparency. It focuses on non-literalness as key property, finds it strongly connected to transparency, and to be the one key factor in predicting idiom type. Specifically, it reveals that metonymies are generally perceived as rather or even extremely literal, while metaphors are generally perceived as highly non-literal.
There is an ongoing discussion in the literature whether the series of sentences ‘It’s not α that did P. α and β did P.’ is acceptable or not. Whereas the homogeneity approach in Büring & Križ 2013, Križ 2016, and Križ 2017 predicts these sentences to be unacceptable, the alternative-based approach predicts acceptability depending on the predicate being interpreted distributively or non- distributively (among others, Horn 1981, Velleman et al. 2012, Renans 2016a,b). We report on three experiments testing the predictions of both types of approaches. These studies provide empirical data that not only bears on these approaches, but also allows us to distinguish between different accounts of cleft exhaustivity that might otherwise make the same predictions. The results of the three studies reported here suggest that the acceptability of clefts depends on the interpretation of the predicate, thereby posing a serious challenge to the homogeneity approach, and contributing to the ongoing discussion on the semantics of it-clefts.
Predictive coding and its generalization to active inference offer a unified theory of brain function. The underlying predictive processing paradigmhas gained significant attention in artificial intelligence research for its representation learning and predictive capacity. Here, we suggest that it is possible to integrate human and artificial generative models with a predictive coding network that processes sensations simultaneously with the signature of predictive coding found in human neuroimaging data. We propose a recurrent hierarchical predictive coding model that predicts low-dimensional representations of stimuli, electroencephalogram and physiological signals with variational inference. We suggest that in a shared environment, such hybrid predictive coding networks learn to incorporate the human predictive model in order to reduce prediction error. We evaluate the model on a publicly available EEG dataset of subjects watching one-minute long video excerpts. Our initial results indicate that the model can be trained to predict visual properties such as the amount, distance and motion of human subjects in videos.
Connective-Lex
(2019)
In this paper, we present a tangible outcome of the TextLink network: a joint online database project displaying and linking existing and newly-created lexicons of discourse connectives in multiple languages. We discuss the definition and demarcation of the class of connectives that should be included in such a resource, and present the syntactic, semantic/pragmatic, and lexicographic information we collected. Further, the technical implementation of the database and the search functionality are presented. We discuss how the multilingual integration of several connective lexicons provides added value for linguistic researchers and other users interested in connectives, by allowing crosslinguistic comparison and a direct linking between discourse relational devices in different languages. Finally, we provide pointers for possible future extensions both in breadth (i.e., by adding lexicons for additional languages) and depth (by extending the information provided for each connective item and by strengthening the crosslinguistic links).
Head-Driven Phrase Structure Grammar is a constraint-based theory. It uses features and values to model linguistic objects. Values may be complex, e. g. consist of feature values pairs themselves. The paper shows that such feature value pairs together with identity of values and relations between feature values are sufficient to develop a complete linguistic theory including all linguistic levels of description. The paper explains the goals of researchers working in the framework and the way they deal with data and motivate their analyses. The framework is explained with respect to an example sentence that involves the following phenomena: valence, constituent structure, adjunction/modification, raising, case assignment, nonlocal dependencies, relative clauses.
Vagueness
(2019)
Though vague phenomena have been studied extensively for many decades, it is only in recent years that researchers sought the support of quantitative data. This chapter highlights and discusses the insights that experimental methods brought to the study of vagueness. One area focused on are ‘borderline contradictions’, that is, sentences like ‘She is neither tall nor not tall’ that are contradictory when analysed in classical logic, but are actually acceptable as descriptions of borderline cases. The flourishing of theories and experimental studies that borderline contradictions have led to are examined closely. Beyond this illustrative case, an overview of recent studies that concern the classification of types of vagueness, the use of numbers, rounding, number modification, and the general pragmatic status of vagueness is provided.
Le centenaire de la publication du Cours de linguistique générale (1916) de Ferdinand de Saussure nous a invité à reconsidérer l’importance de cet ouvrage et le rôle de son auteur pour la fondation d’une linguistique intégrée dans une sémiologie. Il n’y a aucun doute que cet auteur fut extrêmement important pour le développement de la linguistique structurale en Europe et qu’avec son concept du signe linguistique il a fait œuvre de pionnier pour le tournant sémiologique. Mais l’accueil favorable d’une théorie dans le milieu scientifique ne s’explique pas seulement par sa qualité intérieure, mais par plusieurs conditions extérieures. Ces conditions seront analysées sur trois plans: (1) l’arrivée de la méthode des néogrammairiens à ses limites qui incitait alors à l’étude de l’unité du signifiant et du signifié; (2) la simplification et l’outrance de la pensée structurale dans le Cours, publié en 1916 par Charles Bally et Albert Sechehaye et (3) la préparation de la réception de la pensée sémiologique par plusieurs travaux parallèles.
This paper addresses the morpho-phonological, syntactic and pragmatic properties of postverbal subject constructions in Awing. Analogous to other inversion constructions in Bantu literature (Marten & Van der Wal 2014), Awing has a construction in which the subject occurs immediately after the verb, resulting in a subject or sentence focus interpretation. However in Awing, crucially, a VSX clause cannot host a subject marker, but must contain a certain le morpheme in sentence-initial position. Following Baker (2003) and Collins (2004), I argue that the subject marker triggers movement of the subject from Spec/vP, explaining why it is banned in VSX clauses. I further claim that although the subject is interpreted as focus, it is not in a lower focus phrase (Belletti 2004), but rather trapped in Spec/vP. Awing postverbal subject constructions also exhibit verb doubling: VSVO. I argue that verb doubling is due to Case requirement: In canonical SVO clauses the subject marker and the verb value the nominative and accusative Cases, respectively. In VSVO constructions, on the contrary, the verb values both nominative and accusative Cases, thus forcing syntax to spell out two copies of the same verb.
The immense popularity of online communication services in the last decade has not only upended our lives (with news spreading like wildfire on the Web, presidents announcing their decisions on Twitter, and the outcome of political elections being determined on Facebook) but also dramatically increased the amount of data exchanged on these platforms. Therefore, if we wish to understand the needs of modern society better and want to protect it from new threats, we urgently need more robust, higher-quality natural language processing (NLP) applications that can recognize such necessities and menaces automatically, by analyzing uncensored texts. Unfortunately, most NLP programs today have been created for standard language, as we know it from newspapers, or, in the best case, adapted to the specifics of English social media.
This thesis reduces the existing deficit by entering the new frontier of German online communication and addressing one of its most prolific forms—users’ conversations on Twitter. In particular, it explores the ways and means by how people express their opinions on this service, examines current approaches to automatic mining of these feelings, and proposes novel methods, which outperform state-of-the-art techniques. For this purpose, I introduce a new corpus of German tweets that have been manually annotated with sentiments, their targets and holders, as well as lexical polarity items and their contextual modifiers. Using these data, I explore four major areas of sentiment research: (i) generation of sentiment lexicons, (ii) fine-grained opinion mining, (iii) message-level polarity classification, and (iv) discourse-aware sentiment analysis. In the first task, I compare three popular groups of lexicon generation methods: dictionary-, corpus-, and word-embedding–based ones, finding that dictionary-based systems generally yield better polarity lists than the last two groups. Apart from this, I propose a linear projection algorithm, whose results surpass many existing automatically-generated lexicons. Afterwords, in the second task, I examine two common approaches to automatic prediction of sentiment spans, their sources, and targets: conditional random fields (CRFs) and recurrent neural networks, obtaining higher scores with the former model and improving these results even further by redefining the structure of CRF graphs. When dealing with message-level polarity classification, I juxtapose three major sentiment paradigms: lexicon-, machine-learning–, and deep-learning–based systems, and try to unite the first and last of these method groups by introducing a bidirectional neural network with lexicon-based attention. Finally, in order to make the new classifier aware of microblogs' discourse structure, I let it separately analyze the elementary discourse units of each tweet and infer the overall polarity of a message from the scores of its EDUs with the help of two new approaches: latent-marginalized CRFs and Recursive Dirichlet Process.
There is evidence that infants start extracting words from fluent speech around 7.5 months of age (e.g., Jusczyk & Aslin, 1995) and that they use at least two mechanisms to segment words forms from fluent speech: prosodic information (e.g., Jusczyk, Cutler & Redanz, 1993) and statistical information (e.g., Saffran, Aslin & Newport, 1996). However, how these two mechanisms interact and whether they change during development is still not fully understood.
The main aim of the present work is to understand in what way different cues to word segmentation are exploited by infants when learning the language in their environment, as well as to explore whether this ability is related to later language skills. In Chapter 3 we pursued to determine the reliability of the method used in most of the experiments in the present thesis (the Headturn Preference Procedure), as well as to examine correlations and individual differences between infants’ performance and later language outcomes. In Chapter 4 we investigated how German-speaking adults weigh statistical and prosodic information for word segmentation. We familiarized adults with an auditory string in which statistical and prosodic information indicated different word boundaries and obtained both behavioral and pupillometry responses. Then, we conducted further experiments to understand in what way different cues to word segmentation are exploited by 9-month-old German-learning infants (Chapter 5) and by 6-month-old German-learning infants (Chapter 6). In addition, we conducted follow-up questionnaires with the infants and obtained language outcomes at later stages of development.
Our findings from this thesis revealed that (1) German-speaking adults show a strong weight of prosodic cues, at least for the materials used in this study and that (2) German-learning infants weight these two kind of cues differently depending on age and/or language experience. We observed that, unlike English-learning infants, 6-month-old infants relied more strongly on prosodic cues. Nine-month-olds do not show any preference for either of the cues in the word segmentation task. From the present results it remains unclear whether the ability to use prosodic cues to word segmentation relates to later language vocabulary. We speculate that prosody provides infants with their first window into the specific acoustic regularities in the signal, which enables them to master the specific stress pattern of German rapidly. Our findings are a step forwards in the understanding of an early impact of the native prosody compared to statistical learning in early word segmentation.
Background: The distribution of pronouns varies cross-linguistically. This distribution has led to conflicting results in studies that investigated pronoun resolution in agrammatic indviduals. In the investigation of pronominal resolution, the linguistic phenomenon of "resumption" is understudied in agrammatism. The construction of pronominal resolution in Akan presents the opportunity to thoroughly examine resumption. Aims: To start, the present study examines the production of (pronominal) resumption in Akan focus constructions (who-questions and focused declaratives). Second, we explore the effect of grammatical tone on the processing of pronominal (resumption) since Akan is a tonal language. Methods & Procedures: First, we tested the ability to distinguish linguistic and non-linguistic tone in Akan agrammatic speakers. Then, we administered an elicitation task to five Akan agrammatic individuals, controlling for the structural variations in the realization of resumption: focused who-questions and declaratives with (i) only a resumptive pronoun, (ii) only a clause determiner, (iii) a resumptive pronoun and a clause determiner co-occurring, and (iv) neither a resumptive pronoun nor a clause determiner. Outcomes & Results: Tone discrimination .both for pitch and for lexical tone was unimpaired. The production task demonstrated that the production of resumptive pronouns and clause determiners was intact. However, the production of declarative sentences in derived word order was impaired; wh-object questions were relatively well-preserved. Conclusions: We argue that the problems with sentence production are highly selective: linguistic tones and resumption are intact but word order is impaired in non-canonical declarative sentences.
Bienenfresserortungsversuch
(2019)
Leben mit Paradoxien
(2019)
Preface
(2019)
The instrumental -er suffix
(2019)
On uninterpretable features
(2019)
Accusative Unaccusatives
(2019)
Experimenting with Lurchi
(2019)
Splits and Birds
(2019)