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The evolution of LGBT labelling words
English Today ( IF 1.156 ) Pub Date : 2019-08-07 , DOI: 10.1017/s0266078419000270
Yaqian Shi , Lei Lei

Semantic shifts have been explored via a range of methods (Allan & Robinson 2012). Typically, semantic shifts were usually noted or described with methods such as a literature review or dictionary checking (e.g. Blank & Koch, 1999; Stockwell & Minkova, 2001; Williams, 1976), which are very labour-intensive and time-consuming methods. Other more recently developed methods involve sociolinguistic interviews (Robinson, 2012; Sandow & Robinson, 2018). However, with the development of large-sized corpora and computational semantics, diachronic semantic shifts have started to be captured in a data-driven way (Kutuzov et al., 2018). Recently, the word embeddings technique (Mikolov et al., 2013) has been proven to be a promising tool for the tracking of semantic shifts (e.g. Hamilton, Leskovec & Jurafsky, 2016a, 2016b; Kulkarni et al., 2015; Kutuzov et al., 2017). For example, Hamilton et al. (2016b) exemplified how to use the technique to capture the subjectification process of the word ‘actually’ during the 20th century.

中文翻译:

LGBT标签词的演变

已经通过一系列方法探索了语义转换(Allan & Robinson 2012)。通常,语义转换通常通过文献回顾或字典检查等方法进行记录或描述(例如,Blank & Koch,1999;Stockwell & Minkova,2001;Williams,1976),这些方法非常费力且耗时。其他最近开发的方法包括社会语言学访谈(Robinson,2012;Sandow & Robinson,2018)。然而,随着大型语料库和计算语义的发展,历时语义转变已开始以数据驱动的方式被捕获(Kutuzov et al., 2018)。最近,词嵌入技术 (Mikolov et al., 2013) 已被证明是一种很有前途的语义变化跟踪工具(例如 Hamilton, Leskovec & Jurafsky, 2016a, 2016b; Kulkarni et al., 2015;库图佐夫等人,2017)。例如,汉密尔顿等人。(2016b) 举例说明了如何使用该技术在 20th世纪。
更新日期:2019-08-07
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