"i didn't spel that wrong did i. Oops" Analysis and normalisation of SMS spelling variation
"i didn't spel that wrong did i. Oops" Analysis and normalisation of SMS spelling variation
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“我没有拼写错误，哎呀”短信拼写变异的分析和规范化
DOI：
10.1075/li.35.2.12tag
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Tagg C
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作者：
Tagg C
尽管拼写差异存在于所有英语变体中，但在短信中尤其普遍。研究人员认为，短信中的拼写变体是有原则和有意义的，反映了历史和当代文本中的变异模式，有助于表现社会身份。然而，几乎没有人尝试从经验上验证短信的拼写模式(对于大多数语言，除了法语)，并验证它们在多大程度上反映了其他文本中的拼写模式。本文报告了2004至2007年间在英国收集的超过11,000条短信语料库中，使用VARD2工具分析和标准化拼写差异的情况。第二个工具，DICER，被用来检查来自标准化语料库的变体和等价映射。规则和频率数据库可以与其他文本类型进行比较，并在更大的短信语料库中实现拼写的自动标准化。除了使用Dice分析检查各种拼写趋势外，还可以将在短信语料库中发现的拼写变体归入功能类别；最终目的是创建短信拼写的分类。本文报告了这一分类过程的结果，同时也讨论了为一些拼写变体选择类别的困难。
Spelling variation, although present in all varieties of English, is particularly prevalent in SMS text messaging. Researchers argue that spelling variants in SMSes are principled and meaningful, reflecting patterns of variation across historical and contemporary texts, and contributing to the performance of social identities. However, little attempt has yet been made to empirically validate SMS spelling patterns (for most languages, with the notable exception of French) and verify the extent to which they mirror those in other texts.This article reports on the use of the VARD2 tool to analyse and normalise the spelling variation in a corpus of over 11,000 SMSes collected in the UK between 2004 and 2007. A second tool, DICER, was used to examine the variant and equivalent mappings from the normalised corpus. The database of rules and frequencies enables comparison with other text types and the automatic normalisation of spelling in larger SMS corpora.As well as examining various spelling trends with the DICER analysis it was also possible to place the spelling variants found in the SMS corpus into functional categories; the ultimate aim being to create a taxonomy of SMS spelling. The article reports on the findings from this categorisation process, whilst also discussing the difficulty in choosing categories for some spelling variants.