Radical pro drop and the role of syntactic agreement in Colloquial Singapore English

Sato, Yosuke; Kim, Chonghyuck

doi:10.1016/j.lingua.2012.02.006

Cited by 12 publications

(12 citation statements)

References 15 publications

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“…Clearly, then, what is responsible for the emergence of the RPD property is the overall topic-prominent nature of the language in question. Though a full-fledged explanation for the link between the two properties cannot be worked out for reasons of space, I hypothesize that the link may well be established by predication (see Sato and Kim 2010 for further development of this hypothesis). Suppose that, because of its robust topic-prominent structure, a language L has developed a distinct semantic interface mechanism of predication holding between a basegenerated topic and the TP.…”

Section: Topic Prominence Base-generated Topic Structure and Predicmentioning

confidence: 99%

Radical Pro Drop and Fusional Pronominal Morphology in Colloquial Singapore English: Reply to Neeleman and Szendrői

Sato

2011

Linguistic Inquiry

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Section: Topic Prominence Base-generated Topic Structure and Predicmentioning

confidence: 99%

Radical Pro Drop and Fusional Pronominal Morphology in Colloquial Singapore English: Reply to Neeleman and Szendrői

Sato

2011

Linguistic Inquiry

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“…While these features characterize the syntax of Singlish, they are by no means compulsory in the grammatical construct of the language. The seemingly free variation of Singlish syntax could be attributed to the syntactical competition between British English, the suprastrate language that forms the grammatical base of Singlish, and substrate languages like Hokkien and Malay that influences the grammatical features of Singlish [29].…”

Section: Syntactic Features Of Singlish Languagementioning

confidence: 99%

Developing a Concept-Level Knowledge Base for Sentiment Analysis in Singlish

Bajpai¹,

Ho²,

Wang³

2018

Computational Linguistics and Intelligent Text Processing

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In this paper, we present Singlish sentiment lexicon, a conceptlevel knowledge base for sentiment analysis that associates multiword expressions to a set of emotion labels and a polarity value. Unlike many other sentiment analysis resources, this lexicon is not built by manually labeling pieces of knowledge coming from general NLP resources such as WordNet or DBPedia. Instead, it is automatically constructed by applying graph-mining and multi-dimensional scaling techniques on the affective common-sense knowledge collected from three different sources. This knowledge is represented redundantly at three levels: semantic network, matrix, and vector space. Subsequently, the concepts are labeled by emotions and polarity through the ensemble application of spreading activation, neural networks and an emotion categorization model.

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“…For instance, (i) subjects of imperatives tend to be null ( cf . Bennis, 2006 on Dutch), (ii) null subjects of finite matrix and embedded clauses are observed in certain varieties of English, such as diary British English (Haegeman and Ihsane, 2001 ) or Colloquial Singapore English (Sato, 2011 ; Sato and Kim, 2012 ), (iii) null subjects are also licensed in certain varieties of French—one of the few non-pro-drop Romance languages ( cf . Roberge, 1990 ; Zribi-Hertz, 1994 , as well as Roberts, 2010b for a critical review of the data), and (iv) Rosenkvist ( 2009 ) emphasizes that, even if null subjects are licensed in none of the modern Germanic standard languages, they are in many modern vernaculars (Zürich German, Schwabian, Bavarian, Lower Bavarian, Frisian, Övdalian and Yiddish).…”

Section: Reversing the Perspectivementioning

confidence: 99%

“… 9 Above, following Haegeman and Ihsane ( 2001 ), Sato ( 2011 ), and Sato and Kim ( 2012 ) I suggested that certain varieties of English allow pro-drop. But as discussed by Mack et al ( 2012 ) and Frazier ( 2015 ), standard English does not, and the occasional dropping of subjects results from performance factors, where predictable material is reduced.…”

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confidence: 99%

Reversing the Approach to Null Subjects: A Perspective from Language Acquisition

Duguine

2017

Front. Psychol.

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This paper proposes a new model for null subjects, and focuses on its implications for language development. The literature on pro-drop generally considers that not allowing null subjects is, informally speaking, the “default” option in natural languages, and appeals to particular morphosyntactic mechanisms in order to account for those languages in which the subject can be omitted. Shifting the perspective, the inverse approach postulates that pro-drop is (almost) a default grammatical setting, and that non-pro-drop results from the intervention of independent factors that block pro-drop in the derivation. The paper explores the consequences of the inverse approach in the domain of language acquisition, arguing that this model allows to account for a number of properties of child languages. It opens an avenue of research worth exploring, one that could give new solutions to old problems.

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Radical pro drop and the role of syntactic agreement in Colloquial Singapore English

Cited by 12 publications

References 15 publications

Radical Pro Drop and Fusional Pronominal Morphology in Colloquial Singapore English: Reply to Neeleman and Szendrői

Radical Pro Drop and Fusional Pronominal Morphology in Colloquial Singapore English: Reply to Neeleman and Szendrői

Developing a Concept-Level Knowledge Base for Sentiment Analysis in Singlish

Reversing the Approach to Null Subjects: A Perspective from Language Acquisition

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