• Journal of Korean language education
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• v.28 no.2
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• pp.209-233
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• 2017

The purpose of this study is to analyze the pragmatic functions of '-ketun(yo)' expressed in the discourse associating with the context of communication based on the actual conversations of Korean native speakers. As discourse is closely related to the context, contextual factors surrounding the discourse should be actively considered in order to reveal the function of grammar expressed in the discourse. Also, there is need to consider the grammatical functions in terms of the linguistic user which is the subject of interaction in the discourse. Based on this necessity, in this study, we analyzed the pragmatic functions of '-ketun(yo).' As a result, '-ketun(yo)-' had a great influence on the formation and expansion of the shared context in communication contexts. The shared context is expanded through generative mutual knowledge and priori mutual knowledge. As a result of the conversation analysis, '-ketun(yo)-' was used at a high frequency in the expansion of generative mutual knowledge formation. In addition, '-ketun(yo)-' appeared to have a discourse cohesion function that binds topics with other topics. In the case that '-ketun(yo)-' is formed through priori mutual knowledge, '-ketun(yo)-' could be used as a sign to lead the union of the speaker and the listener. This study has significance in that it examines the pragmatic functions of '-ketun(yo)-' in relation to the context of communication based on actual utterance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.25-31
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• 2014

Korean grammar checkers typically detect context-dependent errors by employing heuristic rules; these rules are formulated by language experts and consisted of lexical items. Such grammar checkers, unfortunately, show low recall which is detection ratio of errors in the document. In order to resolve this shortcoming, a new error-decision rule-generalization method that utilizes the existing KorLex thesaurus, the Korean version of Princeton WordNet, is proposed. The method extracts noun classes from KorLex and generalizes error-decision rules from them using the Tree Cut Model and information-theory-based MDL (minimum description length).

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.411-420
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• 2002

The left-associative grammar model (LAG) has been applied successfully to the morphologic and syntactic analysis of various european and asian languages. The algebraic definition of the LAG is very well suited for the application to natural language processing as it inherently obeys de Saussure's second law (de Saussure, 1913, p. 103) on the linear nature of language, which phrase-structure grammar (PSG) and categorial grammar (CG) do not. This paper describes the so-called Loom-LAGs (LLAG) -a specialization of LAGs for the analysis of natural language. Whereas the only means of language-independent abstraction in ordinary LAG is the principle of possible continuations, LLAGs introduce a set of more detailed language-independent generalizations that form the so-called loom of a Loom-LAG. Every LLAG uses the very smut loom and adds the language-specific information in the form of a declarative description of the language -much like an ancient mechanised Jacquard-loom would take a program-card providing the specific pattern for the cloth to be woven. The linguistic information is formulated declaratively in so-called syntax plans that describe the sequential structure of clauses and phrases. This approach introduces the explicit notion of phrases and sentence structure to LAG without violating de Saussure's second law iud without leaving the ground of the original algebraic definition of LAG, LLAGS can in fact be shown to be just a notational variant of LAG -but one that is much better suited for the manual development of syntax grammars for the robust analysis of free texts.

• Korean Journal of Cognitive Science
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• v.14 no.1
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• pp.1-9
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• 2003

In implicit learning tasks, human participants learn grammatical letter strings better than random letter strings. After learning grammatical letter strings, participants were able to judge the grammaticality of new letter strings that they have never seen before. EPAM (Elementary Perceiver and Memorizer) IV, a rote learner without any rule abstraction mechanism, was used to simulate these results. The results showed that EPAM IV with a within-item chunking function was able to learn grammatical letter strings better than random letter strings and discriminate grammatical letter strings from non-grammatical letter strings. The success of EPAM IV in simulating human performance strongly indicated that recognition memory based on chunking plays a critical role in implicit learning.

• Journal of Korean language education
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• v.29 no.3
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• pp.197-225
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• 2018

The purpose of this study is to compare the difference in the interactions between beginning language learners and heritage learners on their forms based on the interaction hypothesis. In this study, three types of information gap activities were used to analyze Language Related Episodes (LREs) while investigating the interaction patterns in language use between four pairs (eight learners) of foreign learners and four pairs (eight learners) of English-speaking heritage learners. The result indicated that foreign learners had a high focus on form during interaction. In particular, they had a tendency to focus on vocabulary rather than grammar, and they conducted self-repair by examining and mostly adjusting their speech to postposition and tense. However, in the problem-solving process, they showed a limited ability in interaction, and thus directly asked others to settle the problem or resorted to using English due to their lack of ability to employ various communication strategies. However, heritage learners had a relatively low focus on form compared to foreign learners. Yet, they also focused more on vocabulary rather than grammar and conducted self-repair in interaction, especially for vocabulary. In addition, they were skillful at using various communication strategies such as indirect expressions, use of alternative words, evasion, and delaying, to expand speech and prevent communication breakdown. They focused less on grammar and mostly did not provide negative feedback in interaction.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.74-82
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• 2022

The purpose of this paper is to provide a multi-modular account of double accusative constructions in Korean in the framework of Autolexical Grammar. The grammar views syntactic, semantic, and morphological structures of sentences as modules which are generated simultaneously and independently. Unlike syntactocentric theories, this paper analyzes semantic characteristics of double accusatives through function-argument (F/A) structure along with roles structure (RS) and information structure (IS). In F/A structure of double accusatives, the first accusative becomes an argument of a predicate, unlike the possessive, which is an argument of a relational noun. Furthermore, the first accusative of double accusatives takes the role of patient in RS, which allows it to become the subject of a passive sentence. On the other hand, the second accusative, which is originally the possessee, becomes a focal area in IS. Therefore, the purpose of double accusatives is twofold: one is to turn the possessor into an independent argument of a predicate which takes patient role, and the other is to turn the possessee into a focus. Such semantic characteristics of double accusatives can be expressed by means of multi-dimensional structures of F/A structure, RS, and IS of Autolexical Grammar, which allows an integrated account of the phenomenon.

• Journal of KIISE
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• v.42 no.3
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• pp.361-366
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• 2015

Gap parsing is an algorithm for parsing incomplete input strings which include some gaps. Gap parsing is different from conventional parsing, and as known results, one-gap parsing algorithms for arbitrary context-free grammar and LL(1) grammar have $O(n^3)$ and $O(n^2)$ time complexity, respectively. This paper presents a one-gap parsing algorithm for extended PLR(1) grammars. Extended PLR(1) grammars are the class of grammars smaller than LR(1) but much larger than LL(1). The one-gap parsing algorithm of the grammar class is shown to have the time complexity of $O(n^2)$, which is equal to the complexity of one-gap parsing algorithms for LL(1) grammars.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2674-2697
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• 2019

Identity authentication is a crucial line of defense for network security, and passwords are still the mainstream of identity authentication. So far trawling password attacking has been extensively studied, but the research related with personal information is always sporadic. Probabilistic context-free grammar (PCFG) and Markov chain-based models perform greatly well in trawling guessing. In this paper we propose a systematic targeted attacking model based on structure partition and string reorganization by migrating the above two models to targeted attacking, denoted as TG-SPSR. In structure partition phase, besides dividing passwords to basic structure similar to PCFG, we additionally define a trajectory-based keyboard pattern in the basic grammar and introduce index bits to accurately characterize the position of special characters. Moreover, we also construct a BiLSTM recurrent neural network classifier to characterize the behavior of password reuse and modification after defining nine kinds of modification rules. Extensive experimental results indicate that in online attacking, TG-SPSR outperforms traditional trawling attacking algorithms by average about 275%, and respectively outperforms its foremost counterparts, Personal-PCFG, TarGuess-I, by about 70% and 19%; In offline attacking, TG-SPSR outperforms traditional trawling attacking algorithms by average about 90%, outperforms Personal-PCFG and TarGuess-I by 85% and 30%, respectively.

• Proceedings of the Korean Society for Language and Information Conference
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• 1998.02a
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• pp.10-19
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• 1998

• Korean Journal of Cognitive Science
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• v.7 no.4
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• pp.163-178
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• 1996