6 This paper critically explores the question of what it means for a 7 construction to be grammatical. The paper engages with some of the 8 observations made in the grammaticalisation literature that elements in 9 grammatical constructions undergo morphologization, and aims to show 10 that grammatical status and morphologization need not be aligned. A 11 number of parameters along which the gra...

This study examined how school-aged children process different grammatical categories. Event-related brain potentials elicited by words in visually presented sentences were analyzed according to seven grammatical categories with naturally varying characteristics of linguistic functions, semantic features, and quantitative attributes of length and frequency. The categories included nouns, adject...

Abstract This study focused mainly on the shifts of the grammatical cohesion in texts translated from English into Persian. It aimed to identify the grammatical cohesive devices (GCDs) in ST and TT separately, based on Halliday and Hassn's Model (1976), determine the number of occurrences of GCDs in two texts and finally, illustrate types of shifts of grammatical cohesion and strategies used in...

Following the usage-based model, construction grammar assumes co-existence of different inventories, it allows for constructions beyond clause level, and embraces many types meaning including discourse-functional meanings. It is thus well-suited to investigate relationship between genre on one hand possible sub-grammars other. In current paper, we discuss these relationships based a multimodal ...

The current research demonstrates a system that employs relatively simple learning mechanisms to construct mappings between structure in visual scenes, and the grammatical structure of sentences that describe those scenes. These learned mappings allow the system to processes natural language sentences in order to reconstruct complex internal representations of the visual scenes that those sente...

In automatic speech recognition, the standard choice for a language model is the well-known n-gram model. The n-grams are used to predict the probability of a word given its n-1 preceding words. However, the n-gram model is not able to explicitly learn grammatical relations of the sentence. In the present work, in order to augment the n-gram model with grammatical features, we apply the Whole S...