Repositorio de Datos de la UAM
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2,551 to 2,560 of 3,315 Results
Valores separados por comas - 146,8 KB - MD5: 941ee2531bc55cf9a751e0c61fcb40eb
DataDatos
Texto plano - 4,2 KB - MD5: f51087731676448df827b79351b8a729
DocumentaciónDocumentation
Apr 30, 2025
Mañoso-Pacheco, Lidia; Sánchez Cabrero, Roberto, 2025, "Sample of perceptions regarding non-sexist language in the academic environment (June 2022)", https://doi.org/10.21950/VAGLG0, e-cienciaDatos, V1
The project’s aims are to: (1) analyse the current level of usage and acceptance of non-sexist language among the group of pre-service teacher selected in the study; and (2) investigate the correlation between the language of instruction (Spanish vs. English) and the participants’ stance on this issue. The corpus selected for the analysis is derive...
Valores separados por comas - 78,0 KB - MD5: 43c8bccb88e0082aaac27967acd91367
DataDatos
Texto plano - 4,2 KB - MD5: 5b6f898bb5e285d190bfcfe4765f1c16
DocumentaciónDocumentation
Apr 30, 2025
Fernandez Agüero, Maria; Mañoso-Pacheco, Lidia, 2025, "Sample of discourse from a digital forum on bilingual education (June 2023)", https://doi.org/10.21950/3CMJGD, e-cienciaDatos, V1
The project’s main aim is to explore the digital discursive strategies employed by assistant teachers in an online community of practice, focusing on their teaching context and narrative positioning. The corpus selected for the analysis is derived from a digital forum conducted in English, involving 117 language assistants from bilingual (English-S...
Texto plano - 4,0 KB - MD5: 89212aab13253c795373b2ddc4773407
DocumentaciónDocumentation
Apr 10, 2025 - CLARA-FINT: Computational Linguistics Approaches to Readability and Automatic Simplification in Financial Narrative
Torterolo Orta, Yanco Amor; Moreno-Sandoval, Antonio, 2025, "SIMFIN: Simplificador y detector léxico financiero automático (aplicación web en Python)", https://doi.org/10.21950/7N2D0H, e-cienciaDatos, V1
Este proyecto se trata de un TFM enmarcado en las prácticas del alumno Yanco Amor Torterolo Orta en el LLI-UAM. Pertenece al proyecto CLARA-FINT, que se centra en el lenguaje claro. Más específicamente, se exploran diversas técnicas de simplificación en el ámbito financiero. Esto está motivado por la complejidad de la realidad financiera y la carga...
Código fuente Python - 6,2 KB - MD5: 6173a7c10795e100e5e0b62142dff48c
Código
Archivo en Python
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