Research Article
Extraction and Quantitative Analysis of Core Vocabulary in Maritime English for Vocational Education
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337282, author={Kang Liu}, title={Extraction and Quantitative Analysis of Core Vocabulary in Maritime English for Vocational Education}, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={maritime english core vocabulary teaching reform}, doi={10.4108/eai.26-5-2023.2337282} }- Kang Liu
Year: 2023
Extraction and Quantitative Analysis of Core Vocabulary in Maritime English for Vocational Education
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337282
Abstract
For a long time, the focus of maritime English reform has been on undergraduate stu-dents, with limited research on maritime English reform for vocational college students. However, the vocabulary mastery level of vocational college students directly affects their learning quality. This study uses vocational maritime English and related teaching materials as the basis, and constructs a corpus of vocational maritime English with 8,192,189 words using the NLTK library. With the Word2vec model, unstructured text is tokenized and embedded in the word vector space, converting the text into numerical values with semantic information. Through clustering, statistical analysis, and feature extraction, the study analyzes the high-frequency vocabulary, part-of-speech distribu-tion, sentence length distribution, and sentiment tendencies in vocational maritime English. The results show that the constructed corpus and trained word vectors can effectively record semantic information. The findings of this study can provide teaching references for vocational maritime English, improve teaching effectiveness, and offer insights for relevant educational reforms.
