Understanding Regularity and Consistency in English Reading: A Dual-Route Model Perspective

The dual-route model of reading proposes that there are two pathways for reading: the lexical route and the non-lexical route. The lexical route involves accessing the mental lexicon, where words are stored and recognized based on their orthographic (spelling) and phonological (sound) representations. The non-lexical route involves decoding words based on their grapheme-phoneme correspondence (GPC) rules.

The concept of 'regularity' refers to how consistently a spelling pattern corresponds to a particular sound. For example, in the words 'gang', 'hang', 'rang', 'sang', and 'bang', the letter combination -ang consistently corresponds to the /æŋ/ sound. This regularity allows readers to easily recognize and pronounce these words through the lexical route. However, in the nonword 'fot', the letter combination -ot does not correspond to a known sound, making it difficult to decode through the non-lexical route.

The concept of 'consistency' refers to how consistently a particular sound is represented by different spelling patterns. For example, in the words 'have', 'gave', 'rave', and 'save', the sound /eɪ/ can be represented by different vowel combinations (-ave, -ave, -ave, -ave). This inconsistency can make it challenging for readers to accurately and efficiently recognize and pronounce words through either the lexical or non-lexical route. Similarly, in the words 'island' and 'aisle', the sound /aɪ/ is represented by different vowel combinations (-land, -isle), making it difficult for readers to consistently apply GPC rules.

In the case of irregular words like 'ghost' and 'yacht', the dual-route model suggests that these words are recognized through the lexical route, as their pronunciation cannot be reliably predicted through GPC rules. The connectionist model proposes that reading is a result of the interaction between multiple processing units, each representing a different feature of the input (e.g. orthography, phonology, semantics). This model suggests that learning to read involves developing connections between these processing units through exposure to written language, allowing for more efficient and automatic processing of words over time.