An Introduction to the Cognitive Neuroscience of Second and Artificial Language Learning
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Abstract
Besides acquiring one's first language(s) in infancy, learning an additional language at a later point in life is one of the most fascinating accomplishments of the human mind. It is so fascinating that it verges on the miraculous. Scientists are not usually fond of the term, however, and many a scholar has striven to identify, characterize, and quantify, if not resolve, the cognitive and neural mechanisms underlying this uniquely human ability. The study of language learning is rendered particularly challenging by the fact that the process is driven by the complex interplay of essential learner-intrinsic and learner-extrinsic variables. Moreover, a great deal of language learning happens outside conscious awareness, that is, without the learner relying on explicit processes involving declarative memory or metacognitive awareness. It follows that subjective and questionnaire-based assessments provide limited insights into the cognitive adventure that represents the learning of a language. In order to gain theoretical insights, we must thus turn to methods that go beyond the description of overt manifestations of language knowledge and “surface” indicators of performance (i.e., external manifestations of comprehension and production). This explains the spectacular expansion of the cognitive neuroscience of language over the past three decades, involving increasingly sophisticated and diversified methods, such as neuropsychological testing, reaction time experiments, computational modeling, eye-tracking, electrodermal conductivity, electrophysiology, magnetoencephalography, positron emission tomography, functional magnetic resonance imaging, near-infrared spectroscopy, transcranial magnetic stimulation, and transcranial direct current stimulation. The risks attached to using such sophisticated methods should not be underestimated, however, because the more sophisticated the method, the more abstract the data obtained, and the less intuitive the interpretation. This special issue on the cognitive neuroscience of second and artificial language learning (CoNSALL) covers a range of key topics in the study of how we learn and use novel languages. Far from being monolithic, the collection of contributions covers a spectrum of questions, approaches, methods, and considerations. The seven empirical studies and three conceptual reviews deal with a variety of target populations, including child and adult learners; monolinguals, bilinguals, and multilinguals. They cover a wide range of languages, from natural ones such as Basque, Dutch, English, German, Italian, and Spanish to artificial miniature systems, and they focus on different language areas, from vocabulary to morphology and syntax. The studies employ pictures, speech, words, sentences, animations, and videos to study lexical development, the learning of syntactic features such as grammatical gender or word order, and conceptual mapping, from the early stage of learning a second or an artificial language, to full proficiency, and even attrition of the native language. The data are based on a wide range of methodologies, from questionnaires and behavioral (psycholinguistic) measures to event-related potentials, brain stimulation, as well as structural and functional neuroimaging. In order to help readers choose a path through the CoNSALL special issue, or perhaps identify those contributions that they will find particularly relevant, we have compiled Table 1, which conveys the diversity of approaches and methods whilst highlighting overlaps among the papers. Accuracy RTs Learning of L2 word meanings, plasticity, L1 Attrition Liu and van Hell Behavioral ERPs Definition learning Semantic priming Reading and button press Accuracy LPC, N400 Bultena et al. Bilingual and multilingual learners Dutch- German Behavioral ERPs Pictures Written words Exposure + feedback 2AFC decision Confidence rating Reading and button press Accuracy RTs, Ratings ERN, CRN L1 interference during L2 grammatical gender learning Recall 4AFC MCQ Translation Listening or reading and writing Word error rate Accuracy Semantic similarity Pliatsikas et al. Children Adults Gray matter volume Brain metabolism Behavioral ERPs Pictures Definitions Accuracy RTs P300 German-English Italian- English Behavioral ERPs Accuracy RTs LAN, P600 Vocabulary learning exposure, matching, and production Syntactic priming Viewing, speaking, matching, and reading Accuracy Scores Priming effect English- Varied Artificial Animations Spoken sentences 2AFC task Vocabulary test Grammatical judgement Viewing, listening and button press Accuracy Procedural memory Declarative memory Neuroimaging Neurostimulation Patient studies Activation levels Accuracy, RTs The diversity that characterizes this special issue is representative of research in second language acquisition and artificial language learning. It should not be seen as a weakness; on the contrary, we believe that the wide range of dimensions covered offer excellent opportunities for transfer of knowledge across research domains and cross-disciplinary applications of methods. And this is not just a fuzzy-warm, well-intended, diplomatic statement. Truly interdisciplinary science does not suddenly happen just because a group of open-minded academics have been invited to exchange ideas and interact in a given venue for a day or two. A process of discovery and gradual adaptation is required, which entails not only the consideration of questions slightly different from our own, but also what the issues are that critically matter to researchers in neighboring fields, as well as an understanding of how other methods can shed light on the questions we have. Toward the end of this introduction we propose ways in which the different studies, reviews, and opinions presented in the special issue can be related to one another to further our understanding of language learning and use in the future, and how we see them offering interesting opportunities for novel research endeavors and cross-fertilization. This special issue of the Cognitive Neuroscience Series of Language Learning is based on an international conference held at Bangor University, Wales, in September 2018, with the same title as this special issue (conference URL: http://consall.bangor.ac.uk). The conference brought together over 60 scholars from 17 countries and from a wide range of disciplines with a strong interest in how languages are learned, from linguistics and computer science to psychology and neuroscience. Papers and communications were invited that deal with the cognitive and neural bases of the acquisition and use of a second language or of an artificial language. In the call for papers, the following questions were particularly emphasized: How are the novel representations of a second language neuroanatomically organized or neurophysiologically implemented in relation to representations of the first? How do they dynamically interact? How do the characteristics of the first language influence second and artificial language processing, and, in turn, how do the characteristics of a second or artificial language influence first language processing? How much functional autonomy do language representations enjoy from generic cognitive control systems during and after learning? Having attended the conference ourselves, and having perused the feedback received from delegates, CoNSALL certainly appears to have delivered passionate moments of communication and interactions between scholars with highly different perspectives on language learning. Keynotes were given by Janet van Hell, Gary Oppenheim, and Patrick Rebuschat, and invited presentations were delivered by Laura Batterink, Jon Andoni Duñabeitia, Rob Hartsuiker, Kara Morgan-Short, Karsten Steinhauer, and John Williams, all of whom were invited to contribute a paper to this special issue. In addition, two papers were invited on the basis of ratings and comments received in the process of abstract evaluation for the selection of oral presentations. Two authors were selected to make a contribution at this stage: Sybrine Bultena and Christos Pliatsikas. Thus, at least one author of each of the articles presented in this special issue participated in the conference, whether by invitation or through the selection process. The only exception was Morten Christiansen who, despite having a keen interest in participating in the conference, was unable to do so as he was delivering the University of Alberta's 41st Annual Distinguished Scholar lecture series in the same week as CoNSALL was held. Morten thus received an independent invitation to join in the special issue venture at a later time. The first three articles of the special issue deal with the early learning of specific language features: novel (made-up) words, second language words, and grammatical gender in individuals who have little or no knowledge of gender in their native language. Oppenheim, Griffin, Peña, and Bedore (2020) adopt a skill-based view of language, according to which we learn language (and other skills) incrementally, through extensive practice, and possibly also lose language as competing linguistic systems are developed. This view has clear implications for the study of bilingual language acquisition and use. It assumes that, in bilingual populations, the ability to speak two languages should depend on how much each language is practiced and not just on the order of acquisition. It also raises the possibility that extensive use of a second language could cause gradual “unlearning” of the first language, a matter of concern for learners, parents, and educators, as well as communities and society as a whole. To explore these issues, Oppenheim and colleagues observed the lexical development of 139 Spanish-English bilingual children for several years as they transitioned from mostly-Spanish homes to mostly-English schools. During this period, the children's English proficiency predictably overtook that of their Spanish. However, the children's Spanish skills continued to improve, thus demonstrating that losing one's first language (here, Spanish) is not an inevitable consequence of becoming dominant in one's second language (English). On the contrary, continued practice of both languages permits the consistent improvement of both languages. Liu and van Hell (2020) investigated how monolingual adults learn novel words from definitions when they have had no significant experience of new word learning as adults. The authors used well established indices of word learning, the late positive component (LPC, indexing lexicalization) and the N400 (indexing consolidation) to show that, although inexperienced learners manifested signs of having lexicalized novel words after 24 hours of offline consolidation, the meaning of learned words had not become consolidated enough to modulate the amplitude of the N400 component. This pattern of results resembles that seen in experienced learners (bilingual individuals), who also did not show N400 modulations after 24 hours of offline consolidation, but who, in contrast to inexperienced learners, appeared to have lexicalized novel words immediately after exposure to definitions (Bakker et al., 2015). Bultena, Danielmeier, Bekkering, and Lemhöfer (2020) relied on an electrophysiological index of error monitoring, namely the error-related negativity (ERN), to study the early stages of learning Dutch grammatical gender in native speakers of German. While participants initially made errors based on intuitions deriving from misguided generalizations of their native German grammar, they improved considerably over three learning sessions with corrective feedback. Interestingly, in the case of cognates with mismatching gender across the two languages, a stronger ERN effect was elicited by answers that were correct in the new language and a weaker ERN was elicited by errors (which aligned with the correct gender in the native language). The author interpreted these findings as a sign of overreliance on intuitions derived from native language knowledge. But, as participants became more accurate and knowledgeable regarding grammatical gender in Dutch, the ERN pattern gradually inverted to match the traditional response to errors. The article opens an interesting new avenue for monitoring learning progress at the interface between implicit indices (electrophysiological) and explicit measures (performance). The next four articles move on from the case of learners of completely new words or properties of a second language to the case of individuals who already have achieved a certain level of proficiency in their second languages: bilinguals. In their contribution, Culbertson, Andersen, and Christiansen (2020) validate a faster and simpler method to assess second language proficiency. Determining a speaker's language proficiency is important for a variety of well-known reasons, from employment, university admissions, and placement in language courses to experimentation and research. However, proficiency testing is often time-consuming, and many tests may not provide reliable indications of how the learner would fare in real-world conversations. Culbertson and colleagues explored whether our ability to listen to and recall an utterance in the second language (here, Spanish) could function as a reliable test of second language proficiency. Recall taps into our ability to process language input in real-time, as needed, for example, in a conversation in the real world. The authors found that their recall measure was a better predictor of a learner's ability to translate heard sentences than a shortened version of a standardized listening multiple-choice comprehension test. These findings suggest that recall of naturalistic utterances may provide an accurate and efficient alternative to traditional tests for predicting foreign language proficiency. Pliatsikas, DeLuca, and (2020) a to a that is, in a highly abstract and that bilingual and performance are first and by exposure and by many beyond those of of acquisition and of learning. The by the authors an interesting between experienced bilinguals, who show in brain related to language control and who are in the process of or have limited experience of their second language, and who to show in related to vocabulary acquisition. 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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it