孟加拉语新词的半自动化方法
1Department of CSE, Central Institute of Technology, BTAD, Kokrajhar, Assam 783370 India.
SN computer science
|June 12, 2023
概括
随着COVID-19的流行,孟加拉语出现了新的词汇,挑战了传统的语言分析. 本研究引入了一种半自动化方法来识别这些与流行病相关的新词,可适应其他语言.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 社会语言学 社会语言学
背景情况:
- 新词或新创造的词在流行病等重大事件期间出现.
- 由于COVID-19的流行,在各种语言中产生了大量的新术语.
- 现有的新词检测计算方法往往不适合像孟加拉语这样的印度语言.
研究的目的:
- 在COVID-19大流行期间调查孟加拉语新词的出现和修改.
- 开发和应用一种半自动化的方法来识别孟加拉语新词.
- 建立一种适用于一般新词检测和其他语言的方法.
主要方法:
- 聚焦COVID-19相关文章的孟加拉语网络集体的编译.
- 应用半自动化方法来识别体内的新词.
- 分析新创造的术语和与大流行有关的语言适应.
主要成果:
- 在孟加拉语中识别COVID-19特定的新词.
- 在孟加拉语中展示了一种可行的半自动化方法来提取新词.
- 洞察全球卫生危机期间的语言适应.
结论:
- 随着COVID-19的流行,孟加拉语的词汇量受到重大影响.
- 开发的半自动化方法为在孟加拉语中识别新词提供了一个实用的解决方案.
- 这种方法有可能在语言研究和其他语言中得到更广泛的应用.
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