Prevalence and developmental course of 'secret language'.

The prevalence and developmental course of supposed ‘secret language’ was examined in a cohort of twins and closely spaced singletons pairs, with systematic assessments at 20 months and again at 36 months. Two forms of apparent ‘secret language’ were examined: (1) shared understanding—speech directed generally but unintelligible to the parent, although apparently clearly understood within the child pair, and (2) private language directed exclusively to the other twin/sibling—not intelligible to the parent, but apparently clearly understood and used only within the child pair. Both occurred in singleton pairs, but the rate was much higher in twins. In most cases it seemed to be a developmental phenomenon occurring in the second year of life with the emergence of immature speech, and decreasing considerably over the next 16 months. A small group of children, primarily male twins, was reported to use a private language at 36 months. This group had poorer cognitive and language functioning, and was characterized by highly dependent relationships. Some aspects of the twins’ home environment were less stimulating and less responsive, most probably reflecting the abilities and relationships of the children. A follow-up of these children when they were ~6 years of age showed that language outcome was poor for the subgroup (n = 4) who did not develop normal language alongside the use of a private language.

Reasoning about natural language phrases for semantic goal driven exploration

This paper presents a symbolic navigation system that uses spatial language descriptions to inform goal-directed exploration in unfamiliar office environments. An abstract map is created from a collection of natural language phrases describing the spatial layout of the environment. The spatial representation in the abstract map is controlled by a constraint based interpretation of each natural language phrase. In goal-directed exploration of an unseen office environment, the robot links the information in the abstract map to observed symbolic information and its grounded world representation. This paper demonstrates the ability of the system, in both simulated and real-world trials, to efficiently find target rooms in environments that it has never been to previously. In three unexplored environments, it is shown that on average the system travels only 8.42% further than the optimal path when using only natural language phrases to complete navigation tasks.