• 아시아태평양코퍼스연구
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• 제3권2호
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• pp.1-16
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• 2022

This study investigates the cooccurrence between temporal adverbs and grammatical tenses in Spanish and contrasts temporal specifications across Spanish, English, and Chinese. Based on a monolingual Spanish corpus and a trilingual parallel corpus, the study identified the top ten frequent single-word temporal adverbs collocating with grammatical tenses in Spanish. It also contrasted the cooccurrence of temporal adverbs and verb tenses in three languages. The results show that aun 'still', hoy 'today', and ahora 'now' collocate with the present tense at more than 80%. Ayer 'yesterday' and finalmente 'finally' cooccurring with the simple past tense are at 84% and 69%, respectively. Then, mientras 'meanwhile' collocates with the past imperfect at 55%, the highest of all. Mañana 'tomorrow' cooccurs with the future and present tenses at 34%. Other adverbs, ya 'already', siempre 'always', and nuevamete 'again', do not present a strong cooccurrence tendency with a tense overall. The contrastive analysis of the trilingual parallel corpus shows a comprehensive view of temporal specifications in the three languages. However, no clear one-to-one mapping pattern of the cooccurrence across the three languages can be concluded, which provides helpful insights for second language instruction with natural language data rather than intuition. Future research with larger corpora is needed.

• 중국학논총
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• 제65호
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• pp.23-38
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• 2020

The dictionary is the most important tool for every Chinese learner to confirm the meaning and usage of words. Therefore, accuracy of headword's interpretation in the dictionary is crucial. This study aims to discuss the accuracy and the adequacy of headwords' interpretation in the Chinese-Korean dictionary through the Chinese corpus and Baidu. The scope of this study are 3000 words in the D3H1 region. According to the research results, the main problems of the vocabulary in this region can be divided into three categories: the first is the problem of lexical interpretation, the second is the problem of missing interpretation, and the third is other problems. In the D3H1 area, there are a total of 719 low-frequency vocabularies, and 54 headword's interpretations are not accurate or appropriate. This study is a detailed investigation and analysis of the problems of these 54 vocabularies.

• 아시아태평양코퍼스연구
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• 제3권1호
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• pp.35-49
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• 2022

This study examines crosslinguistic influence on the use of concessive conditionals by Japanese EFL learners. Contrastive analysis suggests that Japanese native speakers may overuse the concessive conditional even if due to partial similarities to Japanese concessive conditionals, whose formal and semantic restrictions are fewer than those of English concessive conditionals. This hypothesis is tested using data from the written module of the International Corpus Network of Asian Learners of English (ICNALE). Comparison of Japanese native speakers with English native speakers and Chinese native speakers reveals the following trends. First, Japanese native speakers tend to overuse concessive conditionals compared to native speakers, while similar overuse is not observed in Chinese native speaker data. Second, non-nativelike uses of even if appear in contexts allowing the use of concessive conditionals in Japanese. Third, while overuse and infelicitous use of even if is observed at all proficiency levels, formal errors are restricted to learners at lower proficiency levels. These findings suggest that crosslinguistic influence does occur in the use of concessive conditionals, and that its particular realization is affected by L2 proficiency, with formal crosslinguistic influence mediated at an earlier stage than semantic cross-linguistic influence.

• 중국학논총
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• 제67호
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• pp.25-41
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• 2020

当我们翻开中韩词典时, 就不难发现令人莫名其妙的词汇不在少数, 而且在部分词汇的解释上也存在着不少问题。本文主要探讨了这些词汇被收录于词典是否合适和词语释义是否正确的问题。为此, 先从中韩词典里筛选出在中国教育部语言文字应用研究所和北京大学中国语言学研究中心所提供的现代汉语语料库中出现频率较低的词汇。若考虑到这两个语料库为全方位收集现代汉语而做了巨大的努力, 而且肯定这一学术成果的话, 就能推测此文里筛选出的这些词汇很可能不太正规或现在不怎幺使用等事实。为了使这种推测能得到更准确的印证, 作者在百度网上又检索了是否出现它们的用例, 且对词语释义和实际用例是否一致做了详细的比较, 就发现不少词汇确实存在各种问题, 根本不适合被收录到词典, 或必须修改释义内容。

• 중국학논총
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• 제70호
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• pp.39-60
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• 2021

当我们翻开中韩词典时, 就不难发现令人莫名其妙的词汇不在少数, 而且在部分词汇的解释上也存在着不少问题。本文主要探讨了这些词汇被收录于词典是否合适和词语释义是否正确的问题。为此, 先从中韩词典里筛选出在中国教育部语言文字应用研究所和北京大学中国语言学研究中心所提供的现代汉语语料库中出现频率较低的词汇。若考虑到这两个语料库为全方位收集现代汉语而做了巨大的努力, 而且肯定这一学术成果的话, 就能推测此文里筛选出的这些词汇很可能不太正规或现在不怎幺使用等事实。为了使这种推测能得到更准确的印证, 作者在百度网上又检索了是否出现它们的用例, 且对词语释义和实际用例是否一致做了详细的比较, 就发现不少词汇确实存在各种问题, 根本不适合被收录到词典, 或必须修改释义内容。

• 중국학논총
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• 제61호
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• pp.1-18
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• 2019

当我们翻开中韩词典时, 就不难发现令人莫名其妙的词汇不在少数, 而且在部分词汇的解释上也存在着不少问题. 本文主要探讨了这些词汇被收录于词典是否合适和词语释义是否正确的问题. 为此, 先从中韩词典里筛选出在中国教育部语言文字应用研究所和北京大学中国语言学研究中心所提供的现代汉语语料库中出现频率较低的词汇. 若考虑到这两个语料库为全方位收集现代汉语而做了巨大的努力, 而且肯定这一学术成果的话, 就能推测此文里筛选出的这些词汇很可能不太正规或现在不怎幺使用等事实. 为了使这种推测能得到更准确的印证, 作者在百度网上又检索了是否出现它们的用例, 且对词语释义和实际用例是否一致做了详细的比较, 就发现不少词汇确实存在各种问题, 根本不适合被收录到词典, 或必须修改释义内容.

• 중국학논총
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• 제63호
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• pp.47-64
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• 2019

当今在韩国流通的中韩词典收词颇多, 但词典里翻开哪已叶不难发现令人莫名其妙的词汇, 而且这些词汇当中有的甚至连汉语大词典里都找不到. 我们发现这些词汇里往往出现解释有误的问题. 本文主要探讨了这些解释有误词汇. 为此, 先从中韩词典里筛选出在现代汉语语料库中出现的次数少于十次的词汇. 我们认为此文里筛选出的这些词汇很可能不太正规或现在不怎幺使用. 为了使这种推测能得到更准确的印证, 作者在百度网上又检索了是否出现它们的用例, 之后, 就发现这些词汇确实存在各种问题, 需要校正这些解释有误的词汇. 本文以F2-1部分一千五百个词条为研究对象进行了适当性调查. 通过这次研究发现F2-1部分低频率词条有348个词, 其中45个词有各种问题. 值得探讨的是在汉韩词典里对这些低频率词条的说明出现不少错误, 许多词汇根本不适合被收录到词典里. 我们把这些带错误的词汇分成三各部分 : 1. 词汇解释有误, 2. 漏意味项, 3. 其他错误, 进行讨论. 我们将要继续研究其他项目的词条. 希望这些研究对中韩词典的编辑有所帮助.

• 대한음성학회지:말소리
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• 제53호
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• pp.75-92
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• 2005

Prosody Generation Based on C-ToBI Representation for Text-to-SpeechSeungwon Kim, Yu Zheng, Gary Geunbae Lee, Byeongchang KimProsody modeling is critical in developing text-to-speech (TTS) systems where speech synthesis is used to automatically generate natural speech. In this paper, we present a prosody generation architecture based on Chinese Tone and Break Index (C-ToBI) representation. ToBI is a multi-tier representation system based on linguistic knowledge to transcribe events in an utterance. The TTS system which adopts ToBI as an intermediate representation is known to exhibit higher flexibility, modularity and domain/task portability compared with the direct prosody generation TTS systems. However, the cost of corpus preparation is very expensive for practical-level performance because the ToBI labeled corpus has been manually constructed by many prosody experts and normally requires a large amount of data for accurate statistical prosody modeling. This paper proposes a new method which transcribes the C-ToBI labels automatically in Chinese speech. We model Chinese prosody generation as a classification problem and apply conditional Maximum Entropy (ME) classification to this problem. We empirically verify the usefulness of various natural language and phonology features to make well-integrated features for ME framework.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1995년도 Language, Information and Computation = Proceedings of the 10th Pacific Asia Conference, Hong Kong
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• pp.121-126
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• 1995

A new method for Chinese word segmentation named Conditional F'||'&'||'BMM (Forward and Backward Maximal Matching) which incorporates both bigram statistics (ie., mutual infonllation and difference of t-test between Chinese characters) and linguistic rules for ambiguity resolution is proposed in this paper The key characteristics of this model are the use of: (i) statistics which can be automatically derived from any raw corpus, (ii) a rule base for disambiguation with consistency and controlled size to be built up in a systematic way.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.9-16
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• 2023

The natural language on social network platforms has a certain front-to-back dependency in structure, and the direct conversion of Chinese text into a vector makes the dimensionality very high, thereby resulting in the low accuracy of existing text classification methods. To this end, this study establishes a deep learning model that combines a big data ultra-deep convolutional neural network (UDCNN) and long short-term memory network (LSTM). The deep structure of UDCNN is used to extract the features of text vector classification. The LSTM stores historical information to extract the context dependency of long texts, and word embedding is introduced to convert the text into low-dimensional vectors. Experiments are conducted on the social network platforms Sogou corpus and the University HowNet Chinese corpus. The research results show that compared with CNN + rand, LSTM, and other models, the neural network deep learning hybrid model can effectively improve the accuracy of text classification.