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Experimental results show that unnormalized probability of NNLM is quite complementary to that of back-off N-gram, and combining the unnormalized NNLM and back-off N-gram can further reduce the word error rate with little computational consideration.
Experimental results show that the unnormalized probability of NNLM, including FNNLM and RNNLM, is quite complementary to that of back-off N-gram, and UP-NNLM is discriminative for N-best rescoring, even though UP-NNLM is not so accurate.
Experimental results show that unnormalized probability of NNLM is quite complementary to that of back-off N-gram, and combining the unnormalized NNLM and back-off N-gram can further improve the performance of speech recognition with little computational resource.
Experimental results show that the unnormalized probability of NNLMs, including FNNLM and RNNLM, is quite complementary to that of back-off N-gram, and the performance is further improved via the combination of back-off N-gram and NNLM.
We demonstrate that the coverage of different tools is quite complementary with respect to these distinctions, providing an explanation for the performance benefit obtained by merging their results.
The following query was defined to generate the corpora from the PubMed and the WoS databases: " ((trophoblast* or choriocarcinoma* or extra-embryonic* or extraembryonic*) and (bovine or human or pig or sheep or mouse or rat or horse))" PubMed is specialized in biomedical documents, but use of WoS is quite complementary and enriches by 20% the initial corpus.
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UBS and PaineWebber are quite complementary, so executives close to the firms expect minimal job losses as a result of the deal.
The two sides have adopted different strategies for sequencing the genome and have produced results that are quite complementary, meaning that there was always a underlying logic to combining their efforts.
Bynder, on the other hand, has a strong international focus, so the two companies should be quite complementary.
The good news is that the two companies product lines are quite complementary without a lot of overlap.
It seems to me that the services could be quite complementary in the future — but right now, Timehop seems focused on growing independently.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com