• Language and Information
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• v.12 no.2
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• pp.49-75
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• 2008

English absolutes and free adjuncts, despite their abridged syntactic forms, function as full subordinating adverbial clauses, with their semantic roles varied according to the interpretation of the matrix clauses. This paper investigates how to represent the syntactic structures and semantic variability of absolutes and free adjuncts in a unified way, accounting for overlapping properties among various subtypes of the constructions on the one hand, and differences on the other. In the proposed analysis, the clausal properties of absolutes and free adjuncts are captured by the subject selecting property and the clausal meaning associated with a predicative phrase, thus not calling for a null verb or complementizer. In classifying and defining diverse subtypes of the constructions via type constraints, the present work also provides an account of different uses of with involved in absolutes and free adjuncts.

• Language and Information
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• v.3 no.1
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• pp.1-20
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• 1999

The purpose of this paper is to expand Stowell (1993), Stowell (1995), Stowell (1996)'s syntactic analysis of tense in English. Stowell treats Tense as a dyadic predicate of temporal ordering which takes those two time-denoting phrases as its arguments. He further argues that those two morphemes 'resent' and 'past' are polarity-sensitive elements encoding an LF-scope relation with respect to true PAST tense. This paper proposes that English future 'will' should be treated as a true tense and that its future morpheme is an anti-PAST polarity item. It also provides a syntactic interpretation of a peculiar morphological aspect of English that it has no future form of the verb. To this end, Stowell's analysis is incorporated into the Minimalist program of Chomsky(1995). It is proposed that, unlike in other languages like French and Spanish, FUTURE in English is of an affix. This provides an intuitively correct description of why English verbs do not have a future form like other languages. The last but not least point which this paper will discuss is that Ogihara (1995a)'s claim that the referential theory of tensed sentences is inadequate is untenable.

• Journal of KIISE
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• v.44 no.1
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• pp.36-43
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• 2017

Syntactic information represents the dependency relation between predicates and arguments, and it is helpful for improving the performance of Semantic Role Labeling systems. However, syntax analysis can cause computational overhead and inherit incorrect syntactic information. To solve this problem, we exclude syntactic information and use only morpheme information to construct Semantic Role Labeling systems. In this study, we propose an end-to-end SRL system that only uses morpheme information with Stacked Bidirectional LSTM-CRFs model by extending the LSTM RNN that is suitable for sequence labeling problem. Our experimental results show that our proposed model has better performance, as compare to other models.

• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.99-112
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• 2005

In this research, we analyze chatting language of elementary school students, present the properties which are a result of this analysis and propose the method to solve it. Analysis on the chatting language considering organic relation of sentences is classified into syntactic, semantic and statistical characteristics. As a result of analysis, new characteristics is discovered writing by the way children pronounce their words, writing by switching the order of syllable's frontal and rear ends, inarticulate conversation of the other man. To minimize language misuse and to establish a chatting culture that is favorable to the development of children's emotional development, we propose the methods of computer system.

• Korean Journal of English Language and Linguistics
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• v.4 no.2
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• pp.117-149
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• 2004

The paper is to argue against the asymmetric CP-V2 analysis of Old English, according to which finite verbs invariably undergo movement into a clause-final T within subordinate clauses and reach the functional head C within main clauses. The asymmetric CP-V2 analysis, first of all, faces difficulty in explaining a wide range of post-verbal elements within subordinate clauses. To resolve the problem, the analysis has to abandon the obligatoriness of V-to-T movement or introduce various types of extraposition whose status is dubious as a legitimate syntactic operation. Obligatory V-to-T movement in Old English lacks conceptual justification as well. Crosslinguistic evidence reveals that morphological richness in verbal inflection cannot entail overt verb movement. Moreover, the operation is always string-vacuous under the asymmetric CP- V2 analysis and has no effect at the interfaces, in violation of the principle of economy. The distribution of Old English finite verbs in main clauses also undermines the asymmetric CP-V2 analysis. Conceptually speaking, a proper syntactic trigger cannot be confirmed to motivate obligatory verb movement to C. The operation not only gets little support from nominative Case marking, the distribution of expletives, or complementizer agreement but also requires the unconvincing stipulation that expletives as well as sentence-initial subjects result from string-vacuous topicalization. Finally, textual evidence testifies that Old English sometimes permits non-V2 ordering patterns, many of which remain unexplained under the asymmetric CP-V2 analysis.

• Korean Journal of Cognitive Science
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• v.10 no.2
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• pp.35-43
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• 1999

This paper aims to research the language changes in modern Korean and its effect to the language processing systems. In modern Korean. the syntactic constructions l like [Adnominal Ending + Bound Noun ( + Postposition)] are changing into the morphological constructions, and some of these constructions are reflected in the written language. For example. the syntactic construction [Ad nominal Ending + '-de (Bound N Noun)' (+ Postposition) ) co-exists with the mixed form '-neunde' and [Adnominal Ending + 'geot' (Bound Noun) + '-j' (Postposition)) does with ' neunge'. These constructions are used frequently in the spoken language. As like other verbal endings, these forms also participate in the construction of the complex sentence, and these forms have its own case function fused into themselves So, the analytic approach to these forms can make great effect on the automatic morphological analysis systems. automatic tagging systems. and the syntactic analysis systems. So. in the design phase of a language processing systems, the language change phenomena like these must be taken l into consideration.

• Korean Journal of Cognitive Science
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• v.24 no.4
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• pp.301-321
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• 2013

For the task of sentence ordering, this paper attempts to utilize the Entity-Grid model, a type of entity-based modeling approach, as well as Latent Semantic analysis, which is based on vector space modeling, The task is well known as one of the fundamental tools used to measure text coherence and to enhance text generation processes. For the implementation of the Entity-Grid model, we attempt to use the syntactic roles of the nouns in the Korean text for the ordering task, and measure its impact on the result, since its contribution has been discussed in previous research. Contrary to the case of German, it shows a positive result. In order to obtain the information on the syntactic roles, we use a strategy of using Korean case-markers for the nouns. As a result, it is revealed that the cues can be helpful to measure text coherence. In addition, we compare the results with the ones of the LSA-based model, discussing the advantages and disadvantages of the models, and options for future studies.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.40-51
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• 2014

Owing to importance of document copyright the need to detect document duplication and plagiarism is increasing. Many studies have sought to meet such need, but there are difficulties in document duplication detection due to technological limitations with the processing of natural language. This thesis designs and implements a discriminator of similar documents with natural language processing technique. This system discriminates similar documents using morphological analysis, syntactic analysis, and weight on low frequency and idiom. To evaluate the system, we analyze the correlation between human discrimination and term-based discrimination, and between human discrimination and proposed discrimination. This analysis shows that the proposed discrimination needs improving. Future research should work to define the document type and improve the processing technique appropriate for each type.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.793-804
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• 2005

The new paradigm of the 21st century demand an openly different world of formative ideologies in respect to art and design. The purpose of this study is focused on trying to comprehend aesthetic essence of clothing as an, with the investigation of artistic theories manifested by art philosophers. Art to Wear was categorized into style to understand its artistic meaning as well as to analyze its character. Upon the foundation of semiotics theory, the feature of Art to Wear and its analysis category were argued in the context of Charles Morris three dimension of semiotics analysis. The conclusion to the research is like so. The feature and analysis category of Art to Wear upon a semiotics perspective was divided into syntactic dimension, semantic dimension and pragmatic dimension. The analytical categorization upon the perspective of syntactic dimension fell into the category of topology, shape and color. The semantic dimension of Art to Wear was divided into categories of denotation and connotation. In addition, the pragmatic dimension of Art to Wear analytical categorization was divided into a delivering function and common function.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.120-128
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• 2023

In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.