Fig 1.
Position of cognition in language activities defined by SFL.
(Adapted from Kato et al. [11]) This figure illustrates the SFL hierarchy enhanced by Kato’s cognition layer addition [11]. It demonstrates how culture and situation shape lexicogrammatical choices via Field, Tenor, and Mode, thereby impacting communication. The diagram underscores the importance of cognition in selecting suitable lexicogrammar for successful social interactions.
Table 1.
Overview of demographic and clinical metrics in AS vs. non-AS populations.
Fig 2.
Distribution of AS and co-occurring conditions.
Fig 3.
Indicative sentence type of the system network.
This figure presents a close-up of the segment highlighted by the red circle in the MOOD system (S1 Fig 1 in S1 File for context). It illustrates the progression of delicacy in mood selection choices, moving from left to right across the network.
Table 2.
Tag types and linguistic functions.
Fig 4.
Procedure for automatic AS differentiation experiments using leave-one-out cross validation (LOOCV).
Fig 5.
Bi-LSTM-based classification model using tags.
The term Middle signifies a type of verb that lacks agency from a perspective, while Usuality indicates how often an event tends to occur. Additional explanation is provided in Table 2. Both these selective resources are embedded in the system network.
Fig 6.
Bi-LSTM-based classification model that utilizes tag-and-text.
An example sentence is Oko ttari nanka surukoto aru (There are occasions when I get mad). The assigned tags are the same as in Fig 5.
Table 3.
Statistical values of linear and DNN-based models.
Table 4.
McNemar test results for model performance comparisons.