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Leveraging Text-to-Scene Generation for Language Elicitation and Documentation
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Leveraging Text-to-Scene Generation for Language Elicitation and Documentation. |
| 개인저자 | Ulinski, Morgan. |
| 단체저자명 | Columbia University. Computer Science. |
| 발행사항 | [S.l.]: Columbia University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 219 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02A. Dissertation Abstract International |
| ISBN | 9781085753777 |
| 학위논문주기 | Thesis (Ph.D.)--Columbia University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Advisor: Hirschberg, Julia. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Text-to-scene generation systems take input in the form of a natural language text and output a 3D scene illustrating the meaning of that text. A major benefit of text-to-scene generation is that it allows users to create custom 3D scenes without requiring them to have a background in 3D graphics or knowledge of specialized software packages. This contributes to making text-to-scene useful in scenarios from creative applications to education. The primary goal of this thesis is to explore how we can use text-to-scene generation in a new way: as a tool to facilitate the elicitation and formal documentation of language. In particular, we use text-to-scene generation (a) to assist field linguists studying endangered languages |
| 일반주제명 | Computer science. Linguistics. Language. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
