Intent-based suggestion of phrases in a text editor

One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed using a first computer, cause the first computer to execute:

• programmatically receiving a digital electronic object comprising a source text;
• dividing the source text into a plurality of source text units;
• evaluating each particular source text unit among the plurality of source text units using a trained multi-class text classifier machine learning model, and receiving a classification output from the multi-class text classifier that classifies each particular source text unit as a particular class of phrase among a plurality of possible classes of phrases;
• mapping the classification output to a plurality of candidate phrase suggestions in a digital database, to yield an initial set of matching phrase suggestions;
• filtering the initial set of matching phrase suggestions to yield an output set of phrase suggestions that is fewer in number than the initial set;
• transmitting the output set of phrase suggestions to a second computer.

A text processing device, comprising:

• one or more central processing units;
• one or more network interfaces that are configured to communicatively couple the one or more central processing units to a data communication network;
• electronic digital random access memory storing a plurality of sequences of stored program instructions that are organized as executable checks for checking a digitally stored source text that is received via the data communication network from a computing device that is executing a text processing extension, a phrase check among the executable checks comprising multi-class text classifier instructions coupled to phrase suggestion instructions, the phrase suggestion instructions being coupled to a digital phrase store;
• the multi-class text classifier instructions and phrase suggestion instructions being programmed to:
• read the source text;
• identify a plurality of sentences in the source text;
• for each particular sentence in the plurality of sentences, evaluate the particular sentence using a machine learning model that has been trained using a training dataset of a plurality of similar sentences that express a similar intent, and to output a classification output;
• map the classification output to the digital phrase store, to select an initial set of matching phrase suggestions;
• transmit the matching phrase suggestions to the computing device via the data communication network.