Video Library Construction for International Chinese Education

This paper proposes four principles for digital resource construction for language education and carries out practical video resource construction. We believe that extraction and generation will be the main methods for machine resource construction. For resource extraction, this paper first introduces subtitle-based video resource extraction and example sentence extraction. For resource generation, this paper discusses the present limitations and future ideal working framework of large video generation models. The video extraction process proposed in this paper can be applied for other resource construction purposes, and the Large Language Model (LLM) resource generation framework proposed in this paper can be applied to the generation of other resources. We believe that with the digital transformation of education, a large number of machine-constructed resources will emerge.

Authors

Institutions

Publication Details

Journal
International Journal of Asian Language Processing
Published
2024-12-31
DOI
https://doi.org/10.1142/s2717554524500152
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Video Library Construction for International Chinese Education

Jian Chen, Zhaoyong Yang, Gaoqi Rao, Endong Xun
International Journal of Asian Language Processing
Online and Blended Learning
article

Video Library Construction for International Chinese Education

Jian Chen, Zhaoyong Yang, Gaoqi Rao, Endong Xun
article en

Abstract

This paper proposes four principles for digital resource construction for language education and carries out practical video resource construction. We believe that extraction and generation will be the main methods for machine resource construction. For resource extraction, this paper first introduces subtitle-based video resource extraction and example sentence extraction. For resource generation, this paper discusses the present limitations and future ideal working framework of large video generation models. The video extraction process proposed in this paper can be applied for other resource construction purposes, and the Large Language Model (LLM) resource generation framework proposed in this paper can be applied to the generation of other resources. We believe that with the digital transformation of education, a large number of machine-constructed resources will emerge.

International Journal of Asian Language ProcessingVol. 35(02)
Beijing Language and Culture University (CN)
Quality Education
Openalex Percentile: Top 65%
Online and Blended Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.