This is a companion document to our Interspeech 2018 paper “What to Expect from Expected Kneser-Ney Smoothing”. It provides additional details and considerations regarding derivation, optimizations and extensions of the n-gram smoothing on expected fractional counts, a technique originally introduced in Zhang et al 2014.<\/p>\n","protected":false},"excerpt":{"rendered":"
This is a companion document to our Interspeech 2018 paper “What to Expect from Expected Kneser-Ney Smoothing”. It provides additional details and considerations regarding derivation, optimizations and extensions of the n-gram smoothing on expected fractional counts, a technique originally introduced in Zhang et al 2014.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13545],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-490124","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"Microsoft 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