This methodology was inspired by the prominent study of Elman (1990) and we mainly selected that to bring confound factors in natural languages under control while assessing the effect of model parameters on produced word vectors.
we define two distinct methods to evaluate performance of the DSMs in learning semantic similarity from our artificial language-the syntagmatic task and the paradigmatic task.