Text Model for the Automatic Scoring of Business Letter Writing

This article describes a text model designed to automatically score a cohesive text in the form of a letter on a theme. The scoring parameters are formulated and formalized in the form of 14 criteria with the help of expert English language teachers. The criteria include parameters related to the an...

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Veröffentlicht in:	Automatic control and computer sciences Jg. 57; H. 7; S. 828 - 840
Hauptverfasser:	Zafievsky, D. D., Lagutina, N. S., Melnikova, O. A., Poletaev, A. Y.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.12.2023 Springer Nature B.V
Schlagworte:	Algorithms Automation Communication Computer Science Control Structures and Microprogramming Criteria Deep learning Dictionaries English language Error analysis Essays Foreign language learning Graphical representations Language proficiency Machine learning Morphology Natural language processing Neural networks Parameters Semantics Sentences Skills Teachers Texts Writing automatic text processing automated essay scoring business letter writing text options
ISSN:	0146-4116, 1558-108X
Online-Zugang:	Volltext
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