LDR | | 00000nam u2200205 4500 |
001 | | 000000434356 |
005 | | 20200226150034 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781085753777 |
035 | |
▼a (MiAaPQ)AAI22620136 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 400 |
100 | 1 |
▼a Ulinski, Morgan. |
245 | 10 |
▼a Leveraging Text-to-Scene Generation for Language Elicitation and Documentation. |
260 | |
▼a [S.l.]:
▼b Columbia University.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 219 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: A. |
500 | |
▼a Advisor: Hirschberg, Julia. |
502 | 1 |
▼a Thesis (Ph.D.)--Columbia University, 2019. |
506 | |
▼a This item must not be sold to any third party vendors. |
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▼a 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 |
590 | |
▼a School code: 0054. |
650 | 4 |
▼a Computer science. |
650 | 4 |
▼a Linguistics. |
650 | 4 |
▼a Language. |
690 | |
▼a 0984 |
690 | |
▼a 0290 |
690 | |
▼a 0679 |
710 | 20 |
▼a Columbia University.
▼b Computer Science. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-02A. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0054 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493689
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1008102 |
991 | |
▼a E-BOOK |