Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379616788> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4379616788 endingPage "104434" @default.
- W4379616788 startingPage "104434" @default.
- W4379616788 abstract "The orthographic depth theory assumes that reading “deep” orthographies relies on lexical semantics more than “shallow” orthographies. Although Japanese kanji is a representative “deep” case, some scholars argue that kanji reading does not particularly recruit more lexical semantics than kana (the system of syllabic writing used for Japanese consisting of two forms). To reconcile this inconsistency, we ran a Monte Carlo simulation and found that orthographic neighbors in kanji had higher semantic similarities than those in kana. We further conducted a semantic space analysis (‘Word2Vec’) and showed that there was significant radical-level orthographic-semantic consistency in kanji characters. Furthermore, we demonstrated that this consistency had a positive effect on language performance in models (in terms of next-character prediction) and humans (in terms of semantic plausibility judgment). These findings suggest that radicals in kanji may help children to efficiently learn to use the vast number of characters present in Japanese." @default.
- W4379616788 created "2023-06-08" @default.
- W4379616788 creator A5027141961 @default.
- W4379616788 creator A5039287577 @default.
- W4379616788 date "2023-10-01" @default.
- W4379616788 modified "2023-10-14" @default.
- W4379616788 title "Evidence from a within-language comparison in Japanese for orthographic depth theory: Monte Carlo simulations, corpus-based analyses, neural networks, and human experiment" @default.
- W4379616788 cites W1951724000 @default.
- W4379616788 cites W1965391193 @default.
- W4379616788 cites W1967992372 @default.
- W4379616788 cites W1985090884 @default.
- W4379616788 cites W2004548844 @default.
- W4379616788 cites W2007800656 @default.
- W4379616788 cites W2010242308 @default.
- W4379616788 cites W2016534914 @default.
- W4379616788 cites W2022963108 @default.
- W4379616788 cites W2028232382 @default.
- W4379616788 cites W2030831236 @default.
- W4379616788 cites W2031918681 @default.
- W4379616788 cites W2036263392 @default.
- W4379616788 cites W2037822922 @default.
- W4379616788 cites W2038217642 @default.
- W4379616788 cites W2040035146 @default.
- W4379616788 cites W2051800903 @default.
- W4379616788 cites W2053644622 @default.
- W4379616788 cites W2100333970 @default.
- W4379616788 cites W2103660272 @default.
- W4379616788 cites W2104622689 @default.
- W4379616788 cites W2108394838 @default.
- W4379616788 cites W2110485445 @default.
- W4379616788 cites W2119034190 @default.
- W4379616788 cites W2130665461 @default.
- W4379616788 cites W2131785404 @default.
- W4379616788 cites W2141845152 @default.
- W4379616788 cites W2155041055 @default.
- W4379616788 cites W2161070585 @default.
- W4379616788 cites W2167848283 @default.
- W4379616788 cites W2168867107 @default.
- W4379616788 cites W2169231813 @default.
- W4379616788 cites W2347211650 @default.
- W4379616788 cites W2439660577 @default.
- W4379616788 cites W2805080358 @default.
- W4379616788 cites W3044002230 @default.
- W4379616788 cites W3163880120 @default.
- W4379616788 doi "https://doi.org/10.1016/j.jml.2023.104434" @default.
- W4379616788 hasPublicationYear "2023" @default.
- W4379616788 type Work @default.
- W4379616788 citedByCount "0" @default.
- W4379616788 crossrefType "journal-article" @default.
- W4379616788 hasAuthorship W4379616788A5027141961 @default.
- W4379616788 hasAuthorship W4379616788A5039287577 @default.
- W4379616788 hasConcept C138885662 @default.
- W4379616788 hasConcept C154945302 @default.
- W4379616788 hasConcept C15744967 @default.
- W4379616788 hasConcept C158885319 @default.
- W4379616788 hasConcept C175694140 @default.
- W4379616788 hasConcept C184337299 @default.
- W4379616788 hasConcept C199360897 @default.
- W4379616788 hasConcept C204321447 @default.
- W4379616788 hasConcept C2776436953 @default.
- W4379616788 hasConcept C2781051154 @default.
- W4379616788 hasConcept C41008148 @default.
- W4379616788 hasConcept C41895202 @default.
- W4379616788 hasConcept C554936623 @default.
- W4379616788 hasConcept C83535845 @default.
- W4379616788 hasConceptScore W4379616788C138885662 @default.
- W4379616788 hasConceptScore W4379616788C154945302 @default.
- W4379616788 hasConceptScore W4379616788C15744967 @default.
- W4379616788 hasConceptScore W4379616788C158885319 @default.
- W4379616788 hasConceptScore W4379616788C175694140 @default.
- W4379616788 hasConceptScore W4379616788C184337299 @default.
- W4379616788 hasConceptScore W4379616788C199360897 @default.
- W4379616788 hasConceptScore W4379616788C204321447 @default.
- W4379616788 hasConceptScore W4379616788C2776436953 @default.
- W4379616788 hasConceptScore W4379616788C2781051154 @default.
- W4379616788 hasConceptScore W4379616788C41008148 @default.
- W4379616788 hasConceptScore W4379616788C41895202 @default.
- W4379616788 hasConceptScore W4379616788C554936623 @default.
- W4379616788 hasConceptScore W4379616788C83535845 @default.
- W4379616788 hasFunder F4320334764 @default.
- W4379616788 hasLocation W43796167881 @default.
- W4379616788 hasOpenAccess W4379616788 @default.
- W4379616788 hasPrimaryLocation W43796167881 @default.
- W4379616788 hasRelatedWork W116910284 @default.
- W4379616788 hasRelatedWork W1501434824 @default.
- W4379616788 hasRelatedWork W2089244732 @default.
- W4379616788 hasRelatedWork W2101468472 @default.
- W4379616788 hasRelatedWork W2295229969 @default.
- W4379616788 hasRelatedWork W2384363272 @default.
- W4379616788 hasRelatedWork W2544992075 @default.
- W4379616788 hasRelatedWork W3143984537 @default.
- W4379616788 hasRelatedWork W4237258213 @default.
- W4379616788 hasRelatedWork W65990817 @default.
- W4379616788 hasVolume "132" @default.
- W4379616788 isParatext "false" @default.
- W4379616788 isRetracted "false" @default.
- W4379616788 workType "article" @default.