205 related articles for article (PubMed ID: 26466949)
1. Can Nomenclature for the Body be Explained by Embodiment Theories?
Majid A; van Staden M
Top Cogn Sci; 2015 Oct; 7(4):570-94. PubMed ID: 26466949
[TBL] [Abstract][Full Text] [Related]
2. Universal and cultural factors shape body part vocabularies.
Tjuka A; Forkel R; List JM
Sci Rep; 2024 May; 14(1):10486. PubMed ID: 38714717
[TBL] [Abstract][Full Text] [Related]
3. Compound Words Reflect Cross-Culturally Shared Bodily Metaphors.
Holmes KJ; Flusberg SJ; Thibodeau PH
Cogn Sci; 2018 Nov; 42(8):3071-3082. PubMed ID: 30109729
[TBL] [Abstract][Full Text] [Related]
4. Revisiting the limits of language: the odor lexicon of Maniq.
Wnuk E; Majid A
Cognition; 2014 Apr; 131(1):125-38. PubMed ID: 24462926
[TBL] [Abstract][Full Text] [Related]
5. Kinship categories across languages reflect general communicative principles.
Kemp C; Regier T
Science; 2012 May; 336(6084):1049-54. PubMed ID: 22628658
[TBL] [Abstract][Full Text] [Related]
6. Lexical-semantic body knowledge in 5- to 11-year-old children: How spatial body representation influences body semantics.
Auclair L; Jambaqué I
Child Neuropsychol; 2015; 21(4):451-64. PubMed ID: 24814800
[TBL] [Abstract][Full Text] [Related]
7. Toward the development of a cross-linguistic naming test.
Ardila A
Arch Clin Neuropsychol; 2007 Mar; 22(3):297-307. PubMed ID: 17303376
[TBL] [Abstract][Full Text] [Related]
8. Comparison Types in the Semantic Extension of Diidxazá Body Part Terms.
Pérez Báez G
Cogn Sci; 2019 Jul; 43(7):e12764. PubMed ID: 31310020
[TBL] [Abstract][Full Text] [Related]
9. Expression and meaning of medical language: building an epistemological framework for the study of semantic distance.
Bousquet C; Jaulent MC; Chatellier G; Degoulet P
Stud Health Technol Inform; 2001; 84(Pt 1):166-70. PubMed ID: 11604726
[TBL] [Abstract][Full Text] [Related]
10. On the universal structure of human lexical semantics.
Youn H; Sutton L; Smith E; Moore C; Wilkins JF; Maddieson I; Croft W; Bhattacharya T
Proc Natl Acad Sci U S A; 2016 Feb; 113(7):1766-71. PubMed ID: 26831113
[TBL] [Abstract][Full Text] [Related]
11. Local similarity and global variability characterize the semantic space of human languages.
Lewis M; Cahill A; Madnani N; Evans J
Proc Natl Acad Sci U S A; 2023 Dec; 120(51):e2300986120. PubMed ID: 38079546
[TBL] [Abstract][Full Text] [Related]
12. LINGUISTIC ANALYSIS OF BASIC GERONTOLOGICAL TERMS IN CLASSICAL LANGUAGES: STRUCTURAL AND SEMANTIC ASPECTS.
Synytsia V; Bieliaieva O; Myronyk O; Lysanets Y; Slipchenko L; Havrylieva K
Georgian Med News; 2019; (292-293):118-121. PubMed ID: 31560676
[TBL] [Abstract][Full Text] [Related]
13. An ontology-based similarity measure for biomedical data-application to radiology reports.
Mabotuwana T; Lee MC; Cohen-Solal EV
J Biomed Inform; 2013 Oct; 46(5):857-68. PubMed ID: 23850839
[TBL] [Abstract][Full Text] [Related]
14. Associating semantic grammars with the SNOMED: processing medical language and representing clinical facts into a language-independent frame.
Do Amaral Marcio B; Satomura Y
Medinfo; 1995; 8 Pt 1():18-22. PubMed ID: 8591149
[TBL] [Abstract][Full Text] [Related]
15. Distinct cortical areas for names of numbers and body parts independent of language and input modality.
Le Clec'H G; Dehaene S; Cohen L; Mehler J; Dupoux E; Poline JB; Lehéricy S; van de Moortele PF; Le Bihan D
Neuroimage; 2000 Oct; 12(4):381-91. PubMed ID: 10988032
[TBL] [Abstract][Full Text] [Related]
16. How not to revisit Highway 61: negative repetition effects in a post-cue naming task.
Mayall K; Humphreys GW; Kotsanis S
Q J Exp Psychol A; 2002 Jan; 55(1):311-44. PubMed ID: 11873853
[TBL] [Abstract][Full Text] [Related]
17. Defining and relating biomedical terms: towards a cross-language morphosemantics-based system.
Namer F; Baud R
Int J Med Inform; 2007; 76(2-3):226-33. PubMed ID: 16814603
[TBL] [Abstract][Full Text] [Related]
18. One world, two languages: cross-language semantic priming in bilingual toddlers.
Singh L
Child Dev; 2014; 85(2):755-66. PubMed ID: 23802779
[TBL] [Abstract][Full Text] [Related]
19. Acquisition of lexical resources from SNOMED for medical language processing.
Zweigenbaum P; Courtois P
Stud Health Technol Inform; 1998; 52 Pt 1():586-90. PubMed ID: 10384522
[TBL] [Abstract][Full Text] [Related]
20. Recursive Numeral Systems Optimize the Trade-off Between Lexicon Size and Average Morphosyntactic Complexity.
Denić M; Szymanik J
Cogn Sci; 2024 Mar; 48(3):e13424. PubMed ID: 38497509
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
