A Study on the Word 'Hong' (Red) in the Final 40 Chapters of A Dream of Red Chambers
Notice bibliographique
Résumé
This research paper is based on the text edited by Feng Qiyong’s A Collection of Eight Schools of Criticism on Hong Lou Meng( 《 八家評批紅樓夢 》 ) . It was published by Culture and Arts Press, Beijing in September, 1991. The focus areas of this paper: A Study on the Word ‘Hong’ (Red) in the final 40 Chapters of A Dream of Red Chambers are as follows: 1.1 Frequency of occurence: The number of occurences of the word ‘Hong’ (Red) in the text of the final forty chapters is 159. In one of the Chapters,the occurrences of the word ‘Hong’ (Red) is 0 and it is the lowest number of occurrences.In another chapter, the word ‘Hong’ (Red) occurs 20 times, which is the highest frequencies of all the chapters. 0, 5, 7, 20 frequencies of occurences occurs once only in chapter 105, 82, 102 and 88, the least number of the chapters it occurs. There are nine chapters with only once occurrences of the word ‘Hong’ (Red) among the final forty chapters, the highest occurrences of the chapters. 1.2 Morphological formation: There are 22 words formed through the morphological formation based on morpheme ‘Hong’ (Red).Out of the 22 words, 13 are bisyllabic words, 4 are trisyllabic words and 5 are tetrasyllabic words respectively. 1.3 Structural approach: There are 5 structural types of the bisyllabic word namely subject predicate type, modifier type, predicate object type, joint type and embedded type; The two types of trisyllabic word are modified type and embedded type. The three types of tetrasyllabic word are modified type, joint type and embedded type. 1.4 Collocation productivity: There are 33 phrases formed from the word ‘Hong’ (Red) or morpheme ‘Hong’ (Red). They are categorized into 7 syllabic formation patterns and 5 morphological patterns. 1.5 Syntactic functions: There are 19 examples of using the monosyllabic word’Hong’ (Red) as the syntactic components of the 5 sentences. The polysyllabic words constructed from the morpheme ‘Hong’ (Red) are shown in various syntactic functions. 1.6 Lexical expansion: The monosyllabic word “Hong” has four different meanings. The polysyllabic words constructed from the morpheme ‘Hong’ (Red) has 18 single meanings and the other four with two different meanings. 33 phrases are constructed from the the word ‘Hong’ (Red) or the morpheme ‘Hong’ (Red). ‘Hong’ (Red) contains polysemous meaning in 3 phrases, whereas the rest are monosemous. 1.7 Semantic structure: There are 6 meaning categories for the monosyllabic word ‘Hong’ (Red) and the polysyllabic words formed by ‘Hong’ (Red). The six meaning categories can be categorized into 4 levels. 1.8 Cultural connotation: There are four cultural connotations for the word ‘Hong’ (Red) in the text. Key words : A Dream of Red Chambers ; The Final 40 Chapters; The Word ‘Hong’ (Red); The Meanings of the Word ‘Hong’ (Red); Cultural Connotations
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».