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020 ▼a 9780438402294
035 ▼a (MiAaPQ)AAI10845754
035 ▼a (MiAaPQ)umd:19370
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 401
1001 ▼a Ettinger, Allyson Kate.
24510 ▼a Relating Lexical and Syntactic Processes in Language: Bridging Research in Humans and Machines.
260 ▼a [S.l.] : ▼b University of Maryland, College Park., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 277 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: A.
500 ▼a Advisers: Colin Phillips
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018.
520 ▼a Potential to bridge research on language in humans and machines is substantial - as linguists and cognitive scientists apply scientific theory and methods to understand how language is processed and represented by humans, computer scientists app
590 ▼a School code: 0117.
650 4 ▼a Linguistics.
650 4 ▼a Computer science.
650 4 ▼a Neurosciences.
690 ▼a 0290
690 ▼a 0984
690 ▼a 0317
71020 ▼a University of Maryland, College Park. ▼b Linguistics.
7730 ▼t Dissertation Abstracts International ▼g 80-02A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000086 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자