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    Developing Human-AI authoring systems for the creation of study and practice materials
    (Language Flagship Technology Innovation Center, 2024-08-20) Gerald, Scott Fitz
    This internship was centered around the goal of developing a human-AI authoring system to facilitate the creation of study and practice materials. The main development involved with this project was associated with the creation of a software library that, when called, will prompt a generative AI to create questions of various formats related to the material provided. To accomplish this, the library is passed a text file with specific param- eters, like an integer to specify the number of questions that the user would like it to output. The end goal being to implement it into a pipeline that intakes an audio file and outputs these questions. Within the pipeline, the audio file is passed to an Automated Speech Recognition software. A transcript is produced which acts as the text file in the developed software library to create practice questions. To better visualize the output, an interactive web application was developed with Django. Output was also evaluated to rate the questions generated by the AI. Overall, output was judged to be acceptable for usage when paired with the review of an instructor.
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    Flagship Connect: Connecting through stories and games
    (Language Flagship Technology Innovation Center, University of Hawaii at Manoa, 2024-08-20) Cheng, Michelle
    This report outlines my internship experience, focusing on two main projects for the Flagship Connect Platform: the blog component of the Flagship Connect platform and an AI language learning game named Facade. The Flagship Connect Blog aims to provide a space for Language Flagship students and alumni to share experiences and knowledge with the entire community. Facade is a language learning game that leverages generative AI to help students improve their language proficiency in an engaging and enjoyable manner. The work described in this paper was supported through a Summer internship sponsored by the Language Flagship Technology Innovation Center at the University of Hawai‘i at Mānoa with additional support from the Center for Language & Technology. This report was submitted for review on August 8, 2024. Faculty supervision of this work was provided by Dr. Richard Medina.
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    Pathways Through Intercultural Communication
    (Language Flagship Technology Innovation Center, University of Hawaii at Manoa, 2023-08-11) Jankoski, Chase
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    Guidebook on Prompting for Language Learning with ChatGPT
    (Language Flagship Technology Innovation Center, University of Hawaii at Manoa, 2023-08-11) Nichols, Ashley
    The purpose of this project was to create a guidebook on using ChatGPT for language learning. The intended audience of this guidebook is current students involved in The Language Flagship programs throughout the United States. Throughout the course of this project, it was found that current models of ChatGPT have difficulties in deciphering and correcting grammar mistakes, and that ChatGPT should be used in conjunction with classroom language studies where the student has regular access to a foreign language instructor.
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    Improving Speech-to-Text Transcription of Chinese Podcasts
    (Language Flagship Technology Innovation Center, 2022-08) Schmitt, Elliot
    The internship was spent contributing to the Tech Center’s ongoing podcast project; an ap- plication that will collect language podcasts and extract information from those podcasts that can help language learners and instructors better find relevant language learning materi- als. The podcast audio files are transcribed by software, and most of the work of the intern- ship was creating a markup tool that can im- prove the quality of the podcast transcriptions. The transcriptions were corrected by hand and then a rule-based approach was developed to correct errors the transcription software consis- tently made. This adds a layer of polish to the project, yielding cleaner and more accurate En- glish translations later on. The internship was largely exploratory, and the rest of the time was spent experimenting with other aspects of the project, such as researching lexical sophis- tication and how a metric for the sophistication of a text could be useful information to teach- ers or learners trying to gather useful study ma- terials.
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    VOT-CP: A Python Program for Automatic Data Codification and Calculation of Voice Onset Time
    (Language Flagship Technology Innovation Center, 2021) Gutiérrez Topete, Ernesto
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    The Summarization of Arabic News Texts Using Probabilistic Topic Modeling for L2 Micro Learning Tasks
    (2020-01-14) Elsayed, Issa
    The field of Natural Language Processing (NLP) combines computer science, linguistic theory, and mathematics. Natural Language Processing applications aim at equipping computers with human linguistic knowledge. Applications such as Information Retrieval, Machine Translation, spelling checkers, as well as text sum- marization, are intriguing fields that exploit the techniques of NLP. Text summariza- tion represents an important NLP task that simplifies various reading tasks. These NLP-based text summarization tasks can be utilized for the benefits of language acquisition.
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    The Language Flagship Technology Innovation Center Blueprint for Success
    (The Language Flagship Technology Innovation Center, 2019-10-05) The Language Flagship Technology Innovation Center
    The Language Flagship Technology Innovation Center (Tech Center) at the University of Hawai‘i at Mānoa presents this Blueprint for Success in order to help The Language Flagship, as well as other federal initiatives and academic programs interested in enhancing high quality language programs, to improve language learning through the strategic integration of technology. Through multiple symposia and outreach events to promote input and collaboration across the Flagship programs, the Tech Center has worked to make the integration of effective language learning technology central to The Language Flagship mission. The participation and input of Language Flagship directors, instructors and students, along with colleagues from across academia, government and the private sector, has been instrumental in refining our views and practices in the integration of blended learning into high quality instruction. We offer these Goals and Guiding Principles to the Flagship Community to assist our efforts in the integration of best practices in technology-based learning into the overall programmatic approaches throughout academia and the federal and private sectors.
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    Stakeholder Views of the Place of Technology in Flagship Programs.
    (The Language Flagship Technology Innovation Center, 2016) Brown, J. D.; Trace, J.; Rodriguez, Julio C.