• English Language & Literature Teaching
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• v.9 no.2
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• pp.91-107
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• 2003

Although the language of Geoffrey Chaucer as part of late Middle English has been discussed by many studies, among which David Burnley (1983) seems to be most remarkable, some aspects of Chaucer's language still need to be better illuminated for a more thorough understanding of not only Chaucer's work and language but also the English language in the late Middle English period. This paper examines the English negation of Chaucer's language, shown especially in his Canterbury Tales, and explains how negation is used in his work, focusing on the three different types of sentence negation and the uses of or and and in the scope of negation.

• Language and Information
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• v.13 no.2
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• pp.47-57
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• 2009

It has been observed that not all negative polarity items (NPIs) are licensed in the same negative contexts, and different NPIs may be licensed by different negative expressions. This shows that Ladusaw's (1979) downward entailment is not precise enough to account for the distributional patterns of NPIs (van der Wouden, 1997; van der Wouden and Zwarts, 1993; Zwarts, 1986, among others). One well-known attempt to deal with this issue is to divide negative expressions into several subtypes. Using boolean semantics, Zwarts (1986; 1998) distinguishes three kinds of downward entailing licensors and accounts for heterogeneous NPI-licensing conditions by means of the semantic strength of negative expressions. This approach has been adopted to define Korean negation (Nam, 1994; Chung, 1993; Chung, 1997; Hwang, 2009). In this paper, however, we argue that the boolean semantic approach for negation is not adequate in characterizing the properties of Korean negative expressions and explaining the contexts of licensing Korean NPIs.

• Language and Information
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• v.10 no.2
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• pp.1-20
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• 2006

This paper is concerned with the distribution and interpretation of yekan and its cognates. Syntactically they require negation, but semantically the sentences in which they occur are positive ones that make monotone increasing inferences possible. This syntax-semantics discrepancy can be best accounted for by showing that yekan and its cousins must be strictly c-commanded by metalinguistic negation at the surface structure and that the positive meaning of the sentences they are part of is derived from the cancellation of the pragmatic upper-bounding implicatum associated with them. These also enable us to explain why they do not occur in the environments where typical NPIs do and why only certain forms of negation license them.

• Proceedings of the Korean Society for Language and Information Conference
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• 1983.02b
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• pp.35-46
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• 1983

• Speech Sciences
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• v.7 no.4
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• pp.187-202
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• 2000

The negative sentence may have an ambiguity depending on which constituent of the sentence is negated. In case of sentence final adverbials, whether they are included in the scope of negation generates the semantic ambiguity. Since sentences with ambiguous meanings have the same word order, the differences of the meanings in different contexts should be manifested with intonational cues. This article represents how intonation contributes to the disambiguation in negative sentences with ambiguity and which phonological/phonetic cues are specifically used in the course of the disambiguation.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.370-382
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• 2002

This paper puts forward an analysis of scope interactions between Japanese adverbial quantifiers like mainichi 'everyday'and tokidoki 'sometimes'and a negative morpheme nai 'not'on the basis of f(ocus)-structures. In this analysis, three f-structures are assigned to a sentence with an adverbial quantifier and a negative morpheme. One of them represents a negation-wide reading, and the other two represent quantifier-wide readings. Some f-structures, however, are unacceptable due to semantic or pragmatic factors. Different scope behaviors of the two quantifiers mentioned above can then be ascribed to acceptability of f-structures.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.317-319
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• 2022

Rich morphology language such as Arabic needs more investigation and method to improve the sentiment analysis task. Using all document parts in the process of the sentiment analysis may add some unnecessary information to the classifier. Therefore, this paper shows the ongoing work to use sentence location as a feature with Arabic sentiment analysis. Our proposed method employs a supervised sentiment classification method by enriching the feature space model with some information from the document. The experiments and evaluations that were conducted in this work show that our proposed feature in the sentiment analysis for Arabic improves the performance of the classifier compared to the baseline model.