US 11,705,116 B2
Language and grammar model adaptation using model weight data
Ankur Gandhe, Bothell, WA (US); Ariya Rastrow, Seattle, WA (US); Gautam Tiwari, Santa Clara, CA (US); Ashish Vishwanath Shenoy, Seattle, WA (US); and Chun Chen, Kirkland, WA (US)
Assigned to Amazon Technologies, Inc., Seattle, WA (US)
Filed by Amazon Technologies, Inc., Seattle, WA (US)
Filed on Aug. 18, 2021, as Appl. No. 17/405,677.
Application 17/405,677 is a continuation of application No. 16/363,821, filed on Mar. 25, 2019, granted, now 11,145,296.
Prior Publication US 2022/0036893 A1, Feb. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 15/193 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01)
CPC G10L 15/193 (2013.01) [G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 2015/223 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving input data representing a first set of words;
determining a first grammar model corresponding to a second set of words that are different than the first set of words, the first grammar model including first model weight data;
processing the first model weight data using the input data to determine second model weight data;
determining first data representing a difference between the first model weight data and the second model weight data;
using the first data to generate second data corresponding to language processing with regard to a third set of words, wherein at least one word of the third set of words is included in the first set of words but not in the second set of words; and
storing an association between the second data and the first grammar model.