Learning to Map Natural Language to General Purpose Source Code.
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Learning to Map Natural Language to General Purpose Source Code.
Summary
Learning to Map Natural Language to General Purpose Source Code. is a doctoral thesis[1].
Key Facts
- Learning to Map Natural Language to General Purpose Source Code. authored Srinivasan Iyer[2].
- Learning to Map Natural Language to General Purpose Source Code.'s instance of is recorded as doctoral thesis[3].
- Learning to Map Natural Language to General Purpose Source Code.'s OCLC number is recorded as 1141280293[4].
- Learning to Map Natural Language to General Purpose Source Code.'s language of work or name is recorded as English[5].
- +2019-00-00T00:00:00Z marks the founding of Learning to Map Natural Language to General Purpose Source Code.[6].
- Learning to Map Natural Language to General Purpose Source Code.'s work available at URL is recorded as http://hdl.handle.net/1773/45166[7].
- Learning to Map Natural Language to General Purpose Source Code.'s number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+141'}[8].
- Learning to Map Natural Language to General Purpose Source Code.'s Handle ID is recorded as 1773/45166[9].
- Learning to Map Natural Language to General Purpose Source Code.'s title is recorded as Learning to Map Natural Language to General Purpose Source Code.[10].
- Learning to Map Natural Language to General Purpose Source Code.'s thesis submitted to is recorded as University of Washington[11].
- Learning to Map Natural Language to General Purpose Source Code.'s on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[12].
- Learning to Map Natural Language to General Purpose Source Code.'s thesis committee member is recorded as Luke Zettlemoyer[13].
- Learning to Map Natural Language to General Purpose Source Code.'s thesis committee member is recorded as Alvin Cheung[14].
Body
Designation and Status
Learning to Map Natural Language to General Purpose Source Code.'s instance of is recorded as doctoral thesis[3].
History and Context
+2019-00-00T00:00:00Z marks the founding of Learning to Map Natural Language to General Purpose Source Code.[6].