• Title/Summary/Keyword: syntactic

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网络流行语"X+人"探析 - 从"打工人", "尾款人", "工具人"等谈起

  • Yu, Cheol
    • 중국학논총
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    • no.71
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    • pp.41-59
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    • 2021
  • With the progress of social economy and science and technology, network media technology has developed rapidly, China has ushered in the network information age, and the network buzzwords emerged to reflect the interaction and influence between language and society. The network buzzwords of "X+ ren "indirectly show the social psychology and value orientation of modern people with their unique structural characteristics, semantic connotation and cultural deposits, and so on. Based on this, we have conducted a multi-angle investigation on the network buzzwords "X+ ren". This paper first analyzes the structure types and syntactic functions of the lexical model of "X+ ren ", then makes a semantic analysis of the lexical model of "X+ Ren ", and finally investigates the causes and influences of the popularity of "X+ ren ". Through the investigation, we believe that "X+ ren "will continue to grow, and "X+ ren" will continue to attract the attention of the academic community.

Korean Syntactic Parsing with XLNet (XLNet을 이용한 한국어 구문분석)

  • Kim, Min-Seok;Shin, Chang-Uk;Oh, Jinyoung;Cha, Jeong-Won
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.540-542
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    • 2019
  • 문맥기반 사전학습 단어 임베딩이 다양한 분야 적용되어 훌륭한 성능을 보여주고 있다. 본 논문에서는 사전학습한 XLNet 모델을 구문분석에 적용하였다. XLNet은 문장에서 생성 가능한 모든 후보에 대해 트랜스 포머를 기반으로 하는 사전학습을 진행한다. 따라서 문장 전체 정보를 필요로 하는 구문분석에 특히 유용하다. 본 논문에서는 한국어 특성을 반영하기 위하여 형태소 분석을 시행한 107.2GB 크기의 대용량 데이터를 사용해 학습을 진행하였다. 본 논문에서 제안한 모델을 세종 구문 코퍼스에 적용한 결과, UAS 91.93% LAS 89.30%의 성능을 보였다.

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중국 황도화(黃島話)의 'NP1+VP+기(起)+NP2'구문에 관한 초보적 고찰

  • Chae, Chun-Ok
    • 중국학논총
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    • no.63
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    • pp.65-90
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    • 2019
  • In Huangdao Dialect, the "NP1+VP+起+NP2" sentence structure can not only be used with monosyllabic and bisyllabic adjectives and active adjectives, but also with passive adjectives. The usage of the VP is broader in Huangdao Dialect than in Qingdao dialect in case it is a verb phrase. The negative of "NP1+VP+起+NP2" sentence structure uses "不" or "沒有." If common comparative element can be found between NP1 and NP2, the negative particles are used at the beginning of the sentence in general to generate topic sentences. NP1 is often a common noun, modifying phrase, and quantifying phrase, while it can also be a verb-object phrase or modifying phrase. Huangdao Dialect may exhibit specific quantifying phrases that express comparative differences. The inquisitive style of "NP1+VP+起+NP2" sentence structure include appending a question mark at the end of the sentence, combining the positive and negative forms of the adjective, and appending "'是沒" or "是不是" in the front of the adjective.

CR-M-SpanBERT: Multiple embedding-based DNN coreference resolution using self-attention SpanBERT

  • Joon-young Jung
    • ETRI Journal
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    • v.46 no.1
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    • pp.35-47
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    • 2024
  • This study introduces CR-M-SpanBERT, a coreference resolution (CR) model that utilizes multiple embedding-based span bidirectional encoder representations from transformers, for antecedent recognition in natural language (NL) text. Information extraction studies aimed to extract knowledge from NL text autonomously and cost-effectively. However, the extracted information may not represent knowledge accurately owing to the presence of ambiguous entities. Therefore, we propose a CR model that identifies mentions referring to the same entity in NL text. In the case of CR, it is necessary to understand both the syntax and semantics of the NL text simultaneously. Therefore, multiple embeddings are generated for CR, which can include syntactic and semantic information for each word. We evaluate the effectiveness of CR-M-SpanBERT by comparing it to a model that uses SpanBERT as the language model in CR studies. The results demonstrate that our proposed deep neural network model achieves high-recognition accuracy for extracting antecedents from NL text. Additionally, it requires fewer epochs to achieve an average F1 accuracy greater than 75% compared with the conventional SpanBERT approach.

Improving a Korean Spell/Grammar Checker for the Web-Based Language Learning System (웹기반 언어 학습시스템을 위한 한국어 철자/문법 검사기의 성능 향상)

  • 남현숙;김광영;권혁철
    • Korean Journal of Cognitive Science
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    • v.12 no.3
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    • pp.1-18
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    • 2001
  • The goal of this paper is the pedagogical application of a Korean Spell/Grammar Checker to the web-based language learning system for Korean writing. To maximize the efficient instruction of our learning system \\`Urimal Baeumteo\\` we have to improve our Korean Spell/Grammar Checker. Today the NLP system\\`s performance defends on its semantic processing capability. In our Korean Spell/Grammar Checker. the tasks accomplished in the semantic level are: the detection and correction of misused derived and compound nouns in a Korean spell-checking device and the detection and correction of syntactic and semantic errors in a Korean grammars-checking device. We describe a common approach to the partial parsing using collocation rules based on the dependency grammar. To provide more detailed semantic rules. we classified nouns according to their concepts. and subcategorized verbs referring to their syntactic and semantic features. Improving a Korean Spell/Gl-Grammar Checker makes our learning system active and intelligent in a web-based environment. We acknowledge the flaws in our system: the classification of nouns based on their meanings and concepts is a time consuming task. the analytic unit of this study is principally limited to the phrases in a sentence therefore the accurate parsing of embedded sentences remains a difficult problem to solve. Concerning the web-based language learning system. it is critically important to consider its interface design and structure of its contents.

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Splitting Algorithms and Recovery Rules for Zero Anaphora Resolution in Korean Complex Sentences (한국어 복합문에서의 제로 대용어 처리를 위한 분해 알고리즘과 복원규칙)

  • Kim, Mi-Jin;Park, Mi-Sung;Koo, Sang-Ok;Kang, Bo-Yeong;Lee, Sang-Jo
    • Journal of KIISE:Software and Applications
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    • v.29 no.10
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    • pp.736-746
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    • 2002
  • Zero anaphora occurs frequently in Korean complex sentences, and it makes the interpretation of sentences difficult. This paper proposes splitting algorithms and zero anaphora recovery rules for the purpose of handling zero anaphora, and also presents a resolution methodology. The paper covers quotations, conjunctive sentences and embedded sentences out of the complex sentences shown in the newspaper articles, with an exclusion of embedded sentences of auxiliary verb. We manage the quotations using the equivalent noun phrase deletion rule according to subject person constraint, the nominalized embedded sentences using the equivalent noun phrase deletion rule, the adnominal embedded sentences using the relative noun phrase deletion rule and the conjunctive sentences using the conjunction reduction rule in reverse. The classified table of the endings which relate to a formation of the complex sentences is used for splitting the complex sentences, and the syntactic rules, applied when being omitted, are used in reverse for recovering zero anaphora. The presented rule showed the result of 83.53% in perfect resolution and 11.52% in partial resolution.

A Model of Natural Language Information Retrieval Using Main Keywords and Sub-keywords (주 키워드와 부 키워드를 이용한 자연언어 정보 검색 모델)

  • Kang, Hyun-Kyu;Park, Se-Young
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.3052-3062
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    • 1997
  • An Information Retrieval (IR) is to retrieve relevant information that satisfies user's information needs. However a major role of IR systems is not just the generation of sets of relevant documents, but to help determine which documents are most likely to be relevant to the given requirements. Various attempts have been made in the recent past to use syntactic analysis methods for the generation of complex construction that are essential for content identification in various automatic text analysis systems. Unfortunately, it is known that methods based on syntactic understanding alone are not sufficiently powerful to Produce complete analyses of arbitrary text samples. In this paper, we present a document ranking method based on two-level ranking. The first level is used to retrieve the documents, and the second level to reorder the retrieved documents. The main keywords used in the first level can be defined as nouns and/or compound nouns that possess good document discrimination powers. The sub-keywords used in the second level can be also defined as adjectives, adverbs, and/or verbs that are not main keywords, and function words. An empirical study was conducted from a Korean encyclopedia with 23,113 entries and 161 Korean natural language queries collected by end users. 850% of the natural language queries contained sub-keywords. The two-level document ranking methods provides significant improvement in retrieval effectiveness over traditional ranking methods.

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The Analysis of the Factors of the Effectiveness of Science Teacher as Perceived by Students through the Perspective of Teacher Knowledge (교사 지식의 관점에서 학생들이 인식하는 과학 교사 효과성 요인 분석)

  • Lee, Kiyoung;Park, Jaeyong
    • Journal of The Korean Association For Science Education
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    • v.34 no.7
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    • pp.625-634
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    • 2014
  • This study has investigated the factors that make a science teacher effective by analyzing students' perception of teacher knowledge required in enhancing their science learning. The basic components of teacher knowledge identified by previous researchers have been confirmed through Exploratory Factor Analysis (EFA). Based on the findings of the EFA, the questionnaire has been further analyzed using Confirmatory Factor Analysis (CFA) by means of Structural Equation Modeling (SEM). In addition, the differences in students' perception on the identified factors of effectiveness have also been analyzed in terms of gender and achievement level. The findings of the EFA showed that five factors of science teacher effectiveness were identified; namely, substantive knowledge, syntactic knowledge, knowledge of students' understandings, knowledge of instructional strategies, and knowledge of assessment. These five components have been divided into two categories of teacher knowledge, SMK and PCK. What we found from the CFA was the respective high correlation between substantive and syntactic knowledge, knowledge of students' understanding and instructional strategies and the low correlation between substantive knowledge and knowledge of instructional strategies. Students perceived substantive knowledge as the most effective factor, knowledge of assessment as the least effective factor. Also, there have been considerable differences in students' perception by gender and achievement level. We proposed, based on the findings, that SMK and PCK need to be integrated into a coherent manner for the effective science teaching practice. This study provides some implications for science teacher professional development and the improvement of science teacher preparation program.

The semantic structure of the Russian humor in the works of Michael Zadornov (자도르노프 작품 속에 나라난 러시아 유머의 의미군조)

  • 안병팔
    • Lingua Humanitatis
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    • v.6
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    • pp.321-357
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    • 2004
  • In this article the structure of modern Russian humor is analyzed on the basis of some theories: bi-sociation theory (Koestler 1964), semantic script theory of verbal humor, using the concept of semantic presupposition, pragmatic felicity condition (Searle 1969; Levinson 1983) and grammatical rules (Chomsky 1965). Up to now the listed former theories were not examined and less analyzed by the semantic structure in the study of the structure of Russian humor(HcaeBa 1969; 3 $a_{OPHOB}$ 1991; 1992). Kreps (1981), who analyzed the works of Zoschenko, presented 21 types of humor, using the term 'humoreme'(Kpenc 1981, 36-37). These types are the list of the available means of humor that work not in the base of semantic criteria, but in the base of means of literary rhetoric. Kreps presented types of humor means, such as contradiction, antonymic substitution, macaronic speech and correlation of humoremes in the various types of humor. Apart from Kreps, Manakov (MaHaKOB 1986, 61-79) also studied these problems. He also set the system of the basic types of humor. Manakov introduced the linguistic means of humor of some Russian writers: Gogol, Tchechov. The means that Manakov showed with detailed examples, are trope, epithet, comic comparison, comic metaphor, comic periphrasis, euphemism, pun, zeugma, comic toponym, comic onomatopoeia, mania of foreign vocabulary, folk etymology, dialect etc. But these studies don't explain why these means make the works humorous. An, B.p tried to answer this question (안병팔 1997 a; b). An B.p. explains contexts of humor through the Release theory, the Superiority theory and the Incongruity theory. An, B.p. explained the process of deviation from the grammatical norms through morpho-syntactic and lexical means. But in these studies the humor was not analyzed by the semantic criteria. In order to linguistically evaluate various means of humor formation, it is necessary to elicit its deep structure, which makes it possible to research the formation and interpretation of humor. For this purpose this article, being based on the Incongruity theory, defined the structure of humor as negation of presupposition. Of course the former traditional studies also well shared the concept of 'contradiction' and 'contrast' of humor structure, but they didn't explain the structure by semantic differential features. This study, analyzing the works of' Zadornov, M., tried to note that through the negation of semantic presupposition the structure of contradiction is formed with semantic differential features on the semantic, syntactic or lexical dimensions.

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Linguistic Description and Theory

  • Nakajima, Heizo
    • Korean Journal of English Language and Linguistics
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    • v.1 no.3
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    • pp.349-368
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    • 2001
  • We have brought up several distinct types of English clausal constructions, and have been lead to the descriptive generalization in (14),repeated here as (33): (33) Reduced clauses cannot occur in non-complement positions. The generalization in (33) refers to two theory-internal notions, reduced clauses and non-complement positions. Both notions are concerned with the composition of syntactic structures to be defined by X-bar theory. Without these theoretical notions, it would be difficult to describe in a general form the fact that certain types of complement clauses-namely, null-that clauses, if-clauses, Acc-ing gerund, ECM complement clauses, and Raising complement clauses-cannot occur in particular syntactic positions. Instead, one would have to describe this fact for each clause type, in such a way that null-that clauses cannot occur in such and such positions, and if-clauses cannot occur in such and such positions, and Acc-ing gerund cannot occur in such and such positions, and so on, although the positions in which they cannot occur are totally the same. Given the terminology of X-bar theory, however, it has turned out that these types of complement clauses are all reduced clauses, and the positions where they cannot occur are all non-complement positions. Then, the generalization has obtained that reduced clauses cannot occur in non-complement positions. It is a theoretical issue, and differs depending upon theories, how to explain why such a descriptive generalization holds at all. Hopefully, the demonstration here provides a piece of evidence showing that a theory or a particular theoretical nation plays an important role in the description of linguistic facts. Moreover, I have made a crucial prediction on the basis of the well-accepted theoretical assumption the ECM complement clauses and Raising complement clauses are reduced clauses; namely, the prediction that these types of clauses cannot occur in non-complement position. The prediction based upon the theoretical assumption is actually borne out, as illustrated earlier. The illustration of the prediction, I hope, shows that a theory or a particular theoretical assumption, coupled with another theoretical assumption, allows us to make some interesting predictions. Predictions serve to widen a range of linguistic facts to be described. A theory plays a crucial part in finding out interesting facts as well as in describing them in some general forms. Finally, let me state a few words as to the recent generative theory in connection with linguistic description. The recent generative theory is getting more and more abstract. I think it is moving toward a good direction as cognitive science. It will contribute, among others, to the inquiry into what is knowledge that is very specific to language faculty, and into how it interacts with other cognitive faculties. However, I am suspicious about how much the abstract generative theory will contribute to the description of linguistic facts in a particular language. While generative theory is claimed to aim both for descriptive adequacy and for explanatory adequacy, the recent generative theory is likely to put much more weight on explanatory adequacy. In my view, a less abstract theory is enough, or even more useful, for the purpose of linguistic description. Of course, how abstract theory one should adopt as a framework differs depending upon what aspect of language one attempts to describe. What I would like to emphasize here is that linguistic theory does not conflicts with linguistic description, and a linguistic theory with an appropriate degree of abstractness serves as a tool for finding out new interesting facts, as well as for describing them in some general, elegant forms.

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