• Title/Summary/Keyword: Language functions

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Understanding recurrent neural network for texts using English-Korean corpora

  • Lee, Hagyeong;Song, Jongwoo
    • Communications for Statistical Applications and Methods
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    • v.27 no.3
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    • pp.313-326
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    • 2020
  • Deep Learning is the most important key to the development of Artificial Intelligence (AI). There are several distinguishable architectures of neural networks such as MLP, CNN, and RNN. Among them, we try to understand one of the main architectures called Recurrent Neural Network (RNN) that differs from other networks in handling sequential data, including time series and texts. As one of the main tasks recently in Natural Language Processing (NLP), we consider Neural Machine Translation (NMT) using RNNs. We also summarize fundamental structures of the recurrent networks, and some topics of representing natural words to reasonable numeric vectors. We organize topics to understand estimation procedures from representing input source sequences to predict target translated sequences. In addition, we apply multiple translation models with Gated Recurrent Unites (GRUs) in Keras on English-Korean sentences that contain about 26,000 pairwise sequences in total from two different corpora, colloquialism and news. We verified some crucial factors that influence the quality of training. We found that loss decreases with more recurrent dimensions and using bidirectional RNN in the encoder when dealing with short sequences. We also computed BLEU scores which are the main measures of the translation performance, and compared them with the score from Google Translate using the same test sentences. We sum up some difficulties when training a proper translation model as well as dealing with Korean language. The use of Keras in Python for overall tasks from processing raw texts to evaluating the translation model also allows us to include some useful functions and vocabulary libraries as well.

Distal Demonstrative Hitlo in Taiwanese Southern Min

  • Zhao, Yi-jing
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.522-530
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    • 2007
  • This article investigates the use of distal demonstrative Hitlo in Taiwanese Southern Min (TSM) from a discourse-pragmatic perspective. The analysis is based on a 5-hour corpus of spoken data, including daily conversations, radio interviews, TV drama series, and some random examples. A total of 172 tokens of Hitlos are identified in the data. They can be divided into six categories according to their functions: firstly, exophoric usage, those Hitlos which refer to an object non-linguistically which can be identified in the immediate situation; secondly, endophoric usage, those which refer to an element textually; thirdly, referent introducing function, those which can be used to introduce a new but identifiable referent into the conversation (the referent usually has topical importance); fourthly, hedging expression, those which serve as a marker of imprecision; fifthly, a condition introducing marker, those which function as an indicator of the coming of a conditional sentence; finally, pause fillers, those which help speakers to manage speech turn or indicate the mental states In addition, an interactive function which Hitlo is found to serve will be discussed. Moreover, a grammaticalizational process involving semantic bleaching which Hitlo is probably undergoing is revealed in general. Finally, a filled demonstrative principle, stating that it may be a universal phenomenon to use demonstratives as filled pause will be proposed.

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A Study of Verb-Second Phenomena in Medieval Spanish Complex Sentences

  • Cho Eun-Young
    • Language and Information
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    • v.9 no.2
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    • pp.85-105
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    • 2005
  • This study aims at investigating the 'verb-second' phenomena indicated in complex sentences of medieval Spanish. Especially, when the complex sentence is composed of a preposed adverbial clause and its succeeding main clause, the subject inversion is noticeable in the latter. The fundamental motive of this type of inversion is due to the 'verb-second' structure, in which a topic appears in the first position and the verb immediately after the topic. So it can be said that the subject inversion is a prerequisite for a verb to be located in the second position when the adverbial clause functions as a topic to the main clause, as is often the case with Germanic languages like German, Dutch, etc.. On the contrary, modern Spanish complex sentences do not show this phenomenon, with a strong tendency to locate a grammatical subject in the preverbal position. Therefore, medieval Spanish might be typologically closer to Germanic languages than to modern Spanish. In order to argue for this assumption, the formal and functional criteria by which the preposed adverbial clause could be defined as a topic NP will be examined across the comparition with left-dislocation structure.

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A Design and Implementation of Run-time Support System for Concurrent Processing of the CHILL (CHILL 언어의 병행처리를 위한 Run-time 지원 시스템의 설계 및 구현)

  • Ha, Su-Cheol;Jo, Cheol-Hoe
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.7
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    • pp.1941-1954
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    • 1999
  • This paper presents a design and implementation of CRs(CHILL Run-time support System) to adapt the concurrent processing facilities of CHILL(CCITT High Level Language) which had recommended by ITU-T(International Telecommunication Union Telecommunication Standardization Sector). Because the CHILL provides more various concurrent processing facilities that other concurrent programming language, a design and implementation on CRS can give us real effects to gain the major functionalities and the techniques of the concurrent processing. In this paper, we design the interface rules of concurrent functions to conform with the CHILL compiler. We use the concurrent processing primitives as the library style to be invoked by procedure calls, and implement the start-up routine of the CHILL program, the context switching routine, and the CHILL process control parts to control be execution of the CHILL processes concurrently.

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A Multi-Bible Application on an Android Platform Using a Word Tokenization and Recognition Algorithm (단어 구분 및 인식 알고리즘을 이용한 안드로이드 플랫폼 기반의 멀티 성경 애플리케이션)

  • Kang, Sung-Mo;Kang, Myeong-Su;Kim, Jong-Myon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.4
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    • pp.215-221
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    • 2011
  • Mobile phones, which were used for simply calling and sending text messages, have recently moved to application-oriented digital devices such as smart phones and tablet phones. The rapid increase of smart and tablet phones which can offer advanced ability and run a variety of applications based on Java requires various digital multimedia content activities. These days, there are more than 2.2 billions of Christians around the world. Among them, more than 300 millions of people live in Asian, and all of them have and read the bible. If there is an application for the bible which translates from English to their own languages, it could be very helpful. With this reason, this paper proposes a multi-bible application that supports various languages. To do this, we implemented an algorithm that recognize sentences in the bible as word by word. The algorithm is essentially composed of the following three functions: tokenizing sentences in the bible into word by word (word tokenization), recognizing words by using touch event (word recognition), and translating the selected words to the desired language. Consequently, the proposed multi-bible application supports language translation efficiently by touching words of sentences in the bible.

Storing information of stroke rehabilitation patients using blockchain technology: a software study

  • Chang, Min Cheol
    • Journal of Yeungnam Medical Science
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    • v.39 no.2
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    • pp.98-107
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    • 2022
  • Background: Stroke patients usually experience damage to multiple functions and a long rehabilitation period. Hence, there is a large volume of patient clinical information. It thus takes a long time for clinicians to identify the patient's information and essential pieces of information may be overlooked. To solve this, we stored the essential clinical information of stroke patients in a blockchain and implemented the blockchain technology using the Java programming language. Methods: We created a mini blockchain to store the medical information of patients using the Java programming language. Results: After generating a unique pair of public/private keys for identity verification, a patient's identity is verified by applying the Elliptic Curve Digital Signature Algorithm based on the generated keys. When the identity verification is complete, new medical data are stored in the transaction list and the generated transaction is verified. When verification is completed normally, the block hash value is derived using the transaction value and the hash value of the previous block. The hash value of the previous block is then stored in the generated block to interconnect the blocks. Conclusion: We demonstrated that blockchain can be used to store and deliver the patient information of stroke patients. It may be difficult to directly implement the code that we developed in the medical field, but it can serve as a starting point for the creation of a blockchain system to be used in the field.

A Study of AI Impact on the Food Industry

  • Seong Soo CHA
    • The Korean Journal of Food & Health Convergence
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    • v.9 no.4
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    • pp.19-23
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    • 2023
  • The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

Over the Rainbow: How to Fly over with ChatGPT in Tourism

  • Taekyung Kim
    • Journal of Smart Tourism
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    • v.3 no.1
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    • pp.41-47
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    • 2023
  • Tourism and hospitality have encountered significant changes in recent years as a result of the rapid development of information technology (IT). Customers now expect more expedient services and customized travel experiences, which has intensified competition among service providers. To meet these demands, businesses have adopted sophisticated IT applications such as ChatGPT, which enables real-time interaction with consumers and provides recommendations based on their preferences. This paper focuses on the AI support-prompt middleware system, which functions as a mediator between generative AI and human users, and discusses two operational rules associated with it. The first rule is the Information Processing Rule, which requires the middleware system to determine appropriate responses based on the context of the conversation using techniques for natural language processing. The second rule is the Information Presentation Rule, which requires the middleware system to choose an appropriate language style and conversational attitude based on the gravity of the topic or the conversational context. These rules are essential for guaranteeing that the middleware system can fathom user intent and respond appropriately in various conversational contexts. This study contributes to the planning and analysis of service design by deriving design rules for middleware systems to incorporate artificial intelligence into tourism services. By comprehending the operation of AI support-prompt middleware systems, service providers can design more effective and efficient AI-driven tourism services, thereby improving the customer experience and obtaining a market advantage.

Feeling Florence Nightingale: Theorizing Affect in Transatlantic Periodical Poetry

  • Bonfiglio, Richard
    • Journal of English Language & Literature
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    • v.58 no.6
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    • pp.1063-1083
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    • 2012
  • Florence Nightingale is best remembered today as the Lady with the Lamp, but modern research on the English nurse primarily addresses her popular iconography as a historical misrepresentation of her character and career. This scholarly reluctance to analyze critically Nightingalean iconography, however, has obscured important cultural work performed by the popular tropes. This article argues that the proliferation of Nightingale's iconic image as a symbol of Christian womanhood in transatlantic periodical poetry, when examined separately from biographical considerations, reveals important insights into the complex relationship between form and affect in mid-nineteenth periodicals. Popular representations of Nightingale give form to the disorienting effects produced on newspaper readers by the nascent field of international journalism and reflect a key generic paradox at the heart of the Victorian periodical: the simultaneous aim to report news objectively and to move readers affectively in response to events beyond national contexts and interests. Focusing on Lewis Carroll's "The Path of Roses" and Henry Wadsworth Longfellow's "Santa Filomena," this article contends that Nightingalean periodical poetry mirrors back to readers their own affective response to modern media and functions as a new technology for managing an increasingly acute awareness of events and ethical responsibilities beyond the nation.

Multiple Meanings of Silence in Charlotte Brontë's Villette

  • Hyun, Sook Kyong
    • Journal of English Language & Literature
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    • v.56 no.6
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    • pp.1235-1253
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    • 2010
  • Lucy Snowe, the heroine and narrator of Charlotte Brontë's Villette, has oftentimes been studied in terms of her silence. However, the critics' approach to Lucy's silence has been mostly negative as her silence has often been interpreted as an illustration of her sense of absence, powerlessness, unreliability, or mental deprivation. Lucy's silence, however, is complex in nature as the functions and meanings of her silence vary depending on when, why, and how silence is performed. This article particularly looks into the moments in which Lucy's silence generates multifarious meanings and resonances depending on the contexts in and the purpose for which it is exercised, such as a sense of wholeness, marginality, power and individuality. First of all, Lucy's silence about herself during the recount of her childhood days at Bretton implies the feeling of entirety and peacefulness where the identification of the "I" becomes unnecessary. Second, Lucy's silence in relation to Paulina at Bretton denotes her social marginality and powerlessness. Third, as an older self/narrator, Lucy chooses to be silent in order to exert power over the readers. And lastly, Lucy's conscious refusal to tell the readers what she already knows also serves to reveal her sense of individuality. Through the instances of Lucy Snowe's silence in Bronte's Villette, I demonstrate the possibility to reveal various aspects of one's self through silence.