1 Functions
Natural Language Understanding (MMC-NLU):
| Receives | Text Object directly input by the Entity. |
| Recognised Text from anAutomatic Speech Recognition AIM. | |
| The ID of an Instance. | |
| The Audio-Visual Scene Descriptors containing the Instance ID. | |
| Refines | Input Text if coming from an Automatic Speech Recognition AIM |
| Extracts | Meaning (Text Descriptors) from Recognised Text or Entity’s Text Object. |
| Produces | Refined Text. |
| Text Descriptors (Meaning). | |
| Enables | Personal Stats Display to produce a Portable Avatar. |
2 Reference Architecture
Figure 1 depicts the Reference Architecture of the Natural Language Understanding AIM.
Figure 1 – The Natural Language Understanding AIM
3 I/O Data
Table 1 specifies the Input and Output Data of the Natural Language Understanding AIM.
Table 1 – I/O Data of the Natural Language Understanding AIM
| Input | Description |
| Text Object | Input Text. |
| Recognised Text | Text from the Automatic Speech Recognition AIM |
| Instance ID | The Identifier of the specific Audio or Visual Object belonging to a level in the taxonomy. |
| Audio-Visual Scene Descriptors | The digital representation of the spatial arrangement of the Visual Objects of the Scene. |
| Visual Instance ID | The Identifier of the specific Visual Object belonging to a level in the taxonomy. |
| Output | Description |
| Meaning | Descriptors of the Refined Text. |
| Refined Text | The refined version of the Recognised Text from the NLU AIM. |
4 SubAIMs
No SubAIMs.
5 JSON Metadata
https://schemas.mpai.community/MMC/V2.2/AIMs/NaturalLanguageUnderstanding.json
6 Profiles
The Profiles of the Natural Language Understanding AIM are specified.
