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1
Assessment of a biofluid mechanics-based model for calculating portal pressure in canines
In: BMC Vet Res (2020)
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A Scalable Distributed Syntactic, Semantic, and Lexical Language Model
In: DTIC (2012)
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A Scalable Distributed Syntactic, Semantic and Lexical Language Model
In: Kno.e.sis Publications (2012)
Abstract: This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic latent semantic analysis under a directed Markov random field paradigm to simultaneously account for local word lexical information, mid-range sentence syntactic structure, and long-span document semantic content. The composite language model has been trained by performing a convergent N-best list approximate EM algorithm and a follow-up EM algorithm to improve word prediction power on corpora with up to a billion tokens and stored on a supercomputer. The large scale distributed composite language model gives drastic perplexity reduction over n-grams and achieves significantly better translation quality measured by the Bleu score and "readability" of translations when applied to the task of re-ranking the N-best list from a state-of-the-art parsing-based machine translation system.
Keyword: Bioinformatics; Communication; Communication Technology and New Media; Computer Sciences; Databases and Information Systems; Life Sciences; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Social and Behavioral Sciences
URL: https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=2388&context=knoesis
https://corescholar.libraries.wright.edu/knoesis/1009
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