Multi-dynamic Bayesian Networks for Machine Translation and Nlp
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Multi-dynamic Bayesian Networks for Machine Translation and Nlp
Summary
Multi-dynamic Bayesian Networks for Machine Translation and Nlp is a doctoral thesis[1].
Key Facts
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp authored Karim Filali[2].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's instance of is recorded as doctoral thesis[3].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's OCLC number is recorded as 233536354[4].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's language of work or name is recorded as English[5].
- +2007-00-00T00:00:00Z marks the founding of Multi-dynamic Bayesian Networks for Machine Translation and Nlp[6].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's work available at URL is recorded as http://hdl.handle.net/1773/6857[7].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+192'}[8].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+10'}[9].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's Handle ID is recorded as 1773/6857[10].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's title is recorded as Multi-dynamic Bayesian Networks for Machine Translation and Nlp[11].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's thesis submitted to is recorded as University of Washington[12].
- Multi-dynamic Bayesian Networks for Machine Translation and Nlp's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
Body
Designation and Status
Multi-dynamic Bayesian Networks for Machine Translation and Nlp's instance of is recorded as doctoral thesis[3].
History and Context
+2007-00-00T00:00:00Z marks the founding of Multi-dynamic Bayesian Networks for Machine Translation and Nlp[6].