• Asia Pacific Journal of Corpus Research
• /
• v.4 no.2
• /
• pp.41-55
• /
• 2023

In data-driven learning (DDL), learners explore a corpus to understand vocabulary and grammar. Although many studies have emphasized the role of DDL in second language (L2) acquisition, L2 light verbs have been largely under-explored. To bridge this gap, this study focused on the learning outcomes of L2 light verbs among 29 intermediate-level Japanese university students. The research zeroed in on six prevalent light verbs in English: "make," "do," "take," "have," "give," and "get." Over nine weeks, the participants engaged with verb-noun collocations using worksheets that juxtaposed Japanese translations of the target collocations with their English equivalents, with the verbs omitted. With the aid of Wordbanks Online, they filled in the blanks and constructed accurate sentences. Before this activity, a 20-minute tutorial was given to the participants on how to interpret the concordance lines. The effectiveness of the DDL method was evaluated using pre-tests, immediate post-tests, and delayed post-tests. The results showed that DDL significantly improved the participants' knowledge of the target collocations of light verbs and nouns; the post-test and delayed post-test scores were significantly higher than the pre-test scores. The results showed that, overall, DDL contributed to memorizing the collocations of light verbs and nouns; however, DDL had different effects on the memorization of collocations across different light verbs. The extent of work on the worksheet is not the only factor in its retention, and observing concordance lines may promote learners' memorization of light-verb collocations.

• Cross-Cultural Studies
• /
• v.25
• /
• pp.107-129
• /
• 2011

This article aims to observe the role of Arabic and analyze the future of Arabic in France under the base of the Al-Sabhan Rabina Baldhawe's article, published in mettre l'importance sur University Paris 8 in 2007. In the first part, we have focus into the historical analysis: in France, with a few Arabic and French policy has been settled for what were examined. Also enable the use of Arabic in France with regard to trends of Maghreb countries and other Arab countries, is being led by noted. In the second part, we put on the importance about the situation of Arabic in the France's educational institution. And we have analysed the reasons why Arabic became the most important reason for learning the target language: - in order to faciliate the children of immigrants living in Maghreb able to speak French - Due to differences in culture and language experience to relieve the psychological insecurity above sea - By using the Arabic language at home among family members, strengthen solidarity and resolve heterogeneity In the third part, we have recognized that the French education system was looked at in the Journal of Arabic teaching elementary, middle and high school courses, separated by a learning Arabic as the target language. Finally, we have tried to find a way to revitalize Arabic in France in connection with Sabhan Rabina Al-Baldhawe concrete example of the paper were based on a survey. France and the Arab countries' relationship has been long enough to prove the historic aspects and economic cooperation have maintained a relationship even tighter. Arabic, many of the French people also need education and children to learn Arabic in the French educational institution that has shown a positive stance. French students learning Arabic as a future career in choosing the width of the wider benefits it helps to have. Learning Arabic in the course need to be addressed is also true that a lot of points. But the Arabic and various aspects of internal organization is considered a minority in the popular Arabic language training in France has become more competitive in research and analysis to be active stance is required externally, such as the increase of trade agreements and economic systems side at the level of cultural exchange and international co-operation system, strengthening its position as the Arabic language in France.

• English Language & Literature Teaching
• /
• v.7 no.1
• /
• pp.179-208
• /
• 2001

Using literary materials as resources for English learning rather than an object of literary study can be a genuine tool for the students to learn English in the form of oral and written communication. This case study treated the applications of a whole text to the overall course divided into pre-reading activities, while-reading activities, and post-reading activities and the applications of some partial passages extracted from various texts to teaching objectives with many levels of difficulty. This study found that literary texts could be good materials to teach the target language in EFL setting. The English-speaking students with little linguistic competence as a foreign language may be limited in learning English at first, but soon they can accelerate their linguistic competence by reinforcing the literary competence through the literary texts. To achieve effectively a desired goal through the use of literary texts as resources for language development several concrete techniques should be introduced: teacher-guided question strategies laying a central emphasis on the text itself, a problem-solving ability through student-centered activities, process-based and open-ended activities should be presented in a variety of ways using many appropriate activities according to teaching procedure with a careful selection of the texts.

• Proceedings of the KSPS conference
• /
• 2005.11a
• /
• pp.131-135
• /
• 2005

Previous studies on the bilinguals' lexical selection have suggested some evidence in favor of language-specific hypothesis. The purpose of this study was to see whether Korean-English bilinguals' semantic systems of Korean and English are shared or separated between the two languages. In a series of picture-word interference tasks, participants were to name the pictures in Korean or in English with distractor words printed either in Korean or English. The distractor words were either semantically identical, related, unrelated to the picture, or nonexistant. The response time of naming was facilitated when distractor words were semantically identical for both same-(Naming pictures in English/korean with English/Korean distractor words) and different-language pairs(Naming pictures in English with Korean distractor words and vice versa). But this facilitation effect was stronger when naming was produced in their native language, which in this case was Korean. Also, inhibitory effect was shown when the picture and its distractor word were semantically related in both same- and different-language paired conditions. These results show that bilinguals'two lexicons compete to some extent when selecting the target word. In this viewpoint, it can be concluded that the lexicons of either languages may not be entirely but partly overlapping in bilinguals.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.3
• /
• pp.357-362
• /
• 2004

Language models are essential in predicting the next word in a spoken sentence, thereby enhancing the speech recognition accuracy, among other things. However, spoken language domains are too numerous, and therefore developers suffer from the lack of corpora with sufficient sizes. This paper proposes a method of combining two n-gram language models, one constructed from a very small corpus of the right domain of interest, the other constructed from a large but less adequate corpus, resulting in a significantly enhanced language model. This method is based on the observation that a small corpus from the right domain has high quality n-grams but has serious sparseness problem, while a large corpus from a different domain has more n-gram statistics but incorrectly biased. With our approach, two n-gram statistics are combined by extending the idea of Katz's backoff and therefore is called a dual-source backoff. We ran experiments with 3-gram language models constructed from newspaper corpora of several million to tens of million words together with models from smaller broadcast news corpora. The target domain was broadcast news. We obtained significant improvement (30%) by incorporating a small corpus around one thirtieth size of the newspaper corpus.

• Journal of Korean language education
• /
• v.29 no.3
• /
• pp.325-344
• /
• 2018

The purpose of this study is to summarize PWIM (Picture Words Inductive Model) which is one of learner-centered vocabulary teaching-learning models, and suggest ways to implement them in Korean language education. The pictures that are used in the Korean language education field help visualize the specific shape, color, and texture of the vocabulary that is the learning target; thus, helping beginner learners to recognize the meaning of the sound. Visual material stimulates the intrinsic schema of the learner and not only becomes a 'bridge' connecting the mother tongue and the Korean language, but also reduces difficulty in learning a foreign language because of the ambiguity between meaning and sound in Korean and all languages. PWIM shows commonality with existing learning methods in that it uses visual materials. However, in the past, the teacher-centered learning method has only imitated the teacher because the teacher showed a piece-wise, out-of-life photograph and taught the word. PWIM is a learner-centered learning method that stimulates learners to find vocabulary on their own by presenting visual information reflecting the context. In this paper, PWIM is more suitable for beginner learners who are learning specific concrete vocabulary such as personal identity (mainly objects), residence and environment, daily life, shopping, health, climate, and traffic. The purpose of this study was to develop a method of using PWIM suitable for Korean language learners and teaching procedures. The researchers rearranged the previous research into three steps: brainstorming and word organization, generalization of semantic and morphological rules of extracted words, and application of words. In the case of PWIM, you can go through all three steps at once. Otherwise, it is possible to divide the three steps of PWIM and teach at different times. It is expected that teachers and learners using the PWIM teaching-learning method, which uses realistic visual materials, will enable making an effective class together.

• Journal of KIISE:Software and Applications
• /
• v.34 no.8
• /
• pp.721-730
• /
• 2007

UML (Unified Modeling Language) is widely used to analyze and design target software. Developers also implement the target software based on the UML artifacts. However, it is difficult to validate whether the artifacts are generated to correspond to the modeling guidelines because the guidelines for UML modeling are described in natural language. This paper discusses rule based model checker focused on whether models are designed according to modeling methodology. We propose rules and their own checker, named GARDIAN, for UML model validation. The checkers are designed for COMET method for the real-time embedded system. We illustrate our checkers using Intelligent Robot system to validate our approach.

• Phonetics and Speech Sciences
• /
• v.2 no.4
• /
• pp.83-92
• /
• 2010

The present study examined how listeners of Seoul Korean would recover deleted phonemes in consonant cluster simplification. In a phoneme monitoring experiment, listeners had to monitor for C2 (/k/ or /p/) in C1C2C3 when C2 was deleted (C1 was preserved) or preserved (C1 was deleted). The target consonant (C2) was either /k/ or /p/ (e.g., i$\b{lk}$-t${\partial}$lato vs. pa$\b{lp}$-t${\partial}$lato), and there were two listener groups, one group tested in 2002 and the other in 2009. Some points have emerged from the results. First, listeners were able to detect deleted phonemes as accurately and rapidly as preserved phonemes, showing that the physical presence of the acoustic information did not improve the listeners' performance. This suggests that listeners must have relied on language-specific phonological knowledge about the consonant cluster simplification, rather than relying on the low-level acoustic-phonetic information. Second, listener groups (participants in 2002 vs. 2009), differed in processing /p/ versus /k/: listeners in 2009 failed to detect /p/ more frequently than those in 2002, suggesting that the way the consonant cluster sequence is produced and perceived has changed over time. This result was interpreted as coming from statistical patterns of speech production in contemporary Seoul Korean as reported in a recent study by Cho & Kim (2009): /p/ is deleted far more often than /p/ is preserved, which is likely reflected in the way listeners process simplified variants. Finally, listeners processed /k/ more efficiently than /p/, especially when the target was physically present (in C-preserved condition), indicating that listeners benefited more from the presence of /k/ than of /p/. This was interpreted as supporting the view that velars are perceptually more robust than labials, which constrains shaping phonological patterns of the language. These results were then discussed in terms of their implications for theories of spoken word recognition.

• The Journal of the Korea Contents Association
• /
• v.6 no.10
• /
• pp.9-16
• /
• 2006

In this paper, the acoustic model output of CSR(Continuous Speech Recognition) was used to analyze news data News database used in this experiment was consisted of 2,093 articles. Due to the low efficiency of language model, conventional Korean CSR is not appropriate to the analysis of news data. This problem could be handled successfully by introducing post-processing work of recognition result of acoustic model. The acoustic model more robust than language model in Korean environment. The result of post-processing work was made into KIF(Keyword information file). When threshold of acoustic model's output level was 100, 86.9% of whole target morpheme was included in post-processing result. At the same condition, applying length information based normalization, 81.25% of whole target morpheme was recognized. The purpose of normalization was to compensate long-length morpheme. According to experiment result, 75.13% of whole target morpheme was recognized KIF(314MB) had been produced from original news data(5,040MB). The decrease rate of absolute information met was approximately 93.8%.

• Journal of KIISE
• /
• v.43 no.9
• /
• pp.974-982
• /
• 2016

Mutation analysis (or software mutation analysis) generates variants of a target program by injecting systematic code changes to the target program, and utilizes the variants to analyze the target program behaviors. Effective mutation analyses require adequate mutation operators that generate diverse variants for use in the analysis. However, the current mutation analysis tools for Java programs have limitations, since they support only limited types of mutation operators and do not support recent language features such as Java8. In this study, we present Mutagen4J, a new mutant generation tool for Java programs. Mutagen4J additionally supports mutation operators recently shown to generate various mutants and fully supports recent Java language features. The experimental results show that Mutagen4J generates useful mutants for analyses 2.3 times more than the existing Java mutation tools used for the study.