Memory retention system

A system comprising:

• one or more processors;
• a memory;
• and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
• obtaining a speech input of a user;
• obtaining a text input of the user;
• constructing a first instance of a memory data structure based on the speech input, wherein the first instance comprises a transcript of the speech input and is associated with a first set of context parameters, and wherein data associated with the first instance of the memory data structure is obtained at least partially using a neural network;
• constructing a second instance of the memory data structure based on the text input, wherein the second instance comprises at least a portion of the text input and is associated with a second set of context parameters;
• adding the first instance and the second instance of the memory data structure to a memory stack of the user;
• obtaining one or more sentences entered into a document in a text processing application;
• retrieving a particular instance of the memory data structure from the memory stack based on the one or more sentences;
• and
• generating a proposed sentence based on the particular instance of the memory data structure;
• and
• causing display of the proposed sentence in the text processing application.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of one or more electronic devices, cause the electronic devices to:

• obtain a speech input of a user;
• obtain a text input of the user;
• construct a first instance of a memory data structure based on the speech input, wherein the first instance comprises a transcript of the speech input and is associated with a first set of context parameters, and wherein data associated with the first instance of the memory data structure is obtained at least partially using a neural network;
• construct a second instance of the memory data structure based on the text input, wherein the second instance comprises at least a portion of the text input and is associated with a second set of context parameters;
• add the first instance and the second instance of the memory data structure to a memory stack of the user;
• obtain one or more sentences entered into a document in a text processing application;
• retrieve a particular instance of the memory data structure from the memory stack based on the one or more sentences;
• and
• generate a proposed sentence based on the particular instance of the memory data structure;
• and
• cause display of the proposed sentence in the text processing application.