2020 LSK Virtual Colloquium Series
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2020 Virtual Colloquium Series on Linguistics
The Linguistic Society of Korea
December 14 (Monday) ~ 18 (Friday)
The Linguistic Society of Korea (LSK) is organizing Virtual Colloquium Series on Linguistics in December 14~18, 2020. It will be delivered fully online, through Zoom video webinar. You can register for the event in which you are interested, by clicking the registration link below. We encourage participants to register so as to receive the zoom link on time. Each webinar is available only for 100 attendees. It will also be live streamed via Youtube.
Date/Time | Speaker | Area/Title | Registration |
Dec. 14 (Mon) 16:00~17:30 | Cedric Boeckx ICREA | Biolinguistics How (not) to approach the twin problems of language acquisition and evolution Moderator: Myung-Kwan Park (Dongguk University) | https://us02web.zoom.us/webinar/register/WN_K3_iREu1SWarU-oyfQXcCw |
Dec. 15 (Tue) 17:00~18:30 | Harald Clahsen Potsdam Research Institute for Multilingualism | Psycholinguistics Morphological constraints in language processing and language acquisition Moderator: Hongoak Yun (Jeju National University) | https://us02web.zoom.us/webinar/register/WN_K-sjY0zJTwSOBY65aKFWWg |
Dec. 16 (Wed) 16:00~17:30 | Stefan Evert Friedrich-Alexander Universität Erlangen-Nürnberg | Digital Humanities Recent methodological insights for word frequency data: keywords and lexical diversity Moderator: Jae-Woong Choe (Korea University) | https://us02web.zoom.us/webinar/register/WN_FZEzCIHHTd-PwKN9Vn8EvA |
Dec. 17 (Thu) 16:00~17:30 | Jason Rothman UiT The Arctic University of Norway | Multilingualism Additive Multilingual Acquisition and Linguistic Transfer: State of the science and methodological issues Moderator: Hee-Don Ahn (Konkuk University) | https://us02web.zoom.us/webinar/register/WN_U0RrDH8xRbS_Z6zRjXo1TQ |
Dec. 18 (Fri) 10:00~11:30 | Carson Schütze UCLA | Experimental Syntax Crowd-sourced acceptability judgments: The need to ask "Why?" Moderator: Sanghoun Song (Korea University) | https://us02web.zoom.us/webinar/register/WN_kvk3tYucSoWNvYckNqDm8w |
Dec. 18 (Fri) 11:30~12:30 |
| 한국언어학회 정기 총회 | https://us02web.zoom.us/webinar/register/WN_sAT2h81FSqiVzY8yw4q_Vw
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Co-organized by:
The BK 21 Program of SKKU Interaction English Studies
BK 21 Project, Department of English Language and Literature, Yonsei University
KRF Project (title: A Study of Linguistic Knowledge Using Deep Learning Models)
The Konkuk Institute of Multilingualism and Multiculturalism
[Abstracts]
How (not) to approach the twin problems of language acquisition and evolution
Cedric Boeckx (ICREA)
Dec. 14 (Mon) 16:00~17:30
Morphological constraints in language processing and language acquisition
Harald Clahsen (Potsdam Research Institute for Multilingualism)
Dec. 15 (Tue) 17:00~18:30
This presentation will review findings from a number of experimental studies on the role of morphological constraints in language processing and language acquisition. Morphological constraints restrict the way in which inflection, derivation, and compounding interact with each other. Derivational suffixes, for example, typically appear inside inflectional ones indicating that derivation can feed inflection and not vice versa (e.g. ducklings vs. *ducksling).
I will report results from experimental studies on English and German focusing on the interaction of inflectional and word-formation processes in (i) different modalities (production, judgment, comprehension), (ii) different experimental techniques (offline studies, online techniques, e.g. eye-movement monitoring during and reading and listening, event-related brain potentials) and (iii) different populations (children and adults, native and non-native speakers) . I will argue that the experimental results can best be understood in terms of the organization of the grammatical system and that alternative proposals that attribute the experimental effects to surface-form properties or to exposure-based learning are less successful.
Recent methodological insights for word frequency data: keywords and lexical diversity
Stefan Evert (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Dec. 16 (Wed) 16:00~17:30
Word frequency data play a central role in applied corpus linguistics, especially in the form of keywords, collocations and lexical diversity. Keywords are characterised by their unusually high frequency in a given text or subcorpus, when compared against a reference corpus. They capture the aboutness of a text, highlight domain- or genre-specific vocabulary, and have been used for systematic corpus comparison. Collocations are unusually frequent co-occurrences of words, often in a direct syntactic relation such as verb-object or adjective-noun. They are a key concept in studies of phraseology and formulaic language, form the basis for distributional accounts of word meaning, and enable advanced second-language learners to become truly fluent. In the form of word sketches, they are omnipresent in modern computational lexicography. Measures of lexical diversity quantify the type-richness of word frequency distributions. They have been use to assess the size of an author's vocabulary, the stylometric complexity of literary texts, and the productivity of morphological and syntactic patterns.
For the identification of collocations, a plethora of quantitative techniques and statstical measures have been suggested, discussed, and evaluated thoroughly in empirical studies. However, appropriate methodological approaches to keywords and lexical diversity are far less well-established, not widely known among corpus linguists, and often have little empirical support. In this talk, I will present recent methodological research on keywords and lexical diversity, including an overview and assessment of state-of-the-art approaches as well as preliminary results from ongoing empirical studies.
State of the science and methodological issues
Jason Rothman (UiT The Arctic University of Norway)
Dec. 17 (Thur) 16:00~17:30
Crowd-sourced acceptability judgments: The need to ask "Why?"
Carson Schütze (UCLA)
Dec. 18 (Fri) 10:00~11:30
The starting point for this talk is the observation, by now well-known, that when linguists seek to verify their acceptability judgments with large numbers of naive speakers via crowd-sourcing platforms such as Amazon Mechanical Turk, a minority of these judgments (ranging from 5% to 20% or more) will fail to replicate. Although many have been quick to draw conclusions from such results (in various directions), I argue that attempting to do so does not make sense until we ask and answer the question "Why?"—Why are subjects giving the responses they are giving? Using interviews with naive subjects after they have completed computer-based judgment tasks, I demonstrate that there are a large range of reasons why they give low ratings to sentences that linguists have considered highly acceptable and vice versa. Many of these reasons are not indicative of genuine differences in what the two populations consider (un)acceptable, but are essentially task artifacts. I propose strategies for reducing these artifacts and thus collecting data that more closely reflects linguists' intended object of study: the subject's grammar.
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