Stages involved
Language production consists of several interdependent processes which transform a nonlinguistic message into a spoken, signed, or written linguistic signal. Though the following steps proceed in this approximate order, there are plenty of interaction and communication between them. The process of message planning is an active area of psycholinguistic research, but researchers have found that it is an ongoing process throughout language production. Research suggests that messages are planned in roughly the same order that they are in anModels
Serial model
A serial model of language production divides the process into several stages. For example, there may be one stage for determining pronunciation and a stage for determining lexical content. The serial model does not allow overlap of these stages, so they may only be completed one at a time.Connectionist model
Several researchers have proposed a connectionist model, one notable example being Dell. According to his connectionist model, there are four layers of processing and understanding: semantic, syntactic, morphological, and phonological. These work in parallel and in series, with activation at each level. Interference and misactivation can occur at any of these stages. Production begins with concepts, and continues down from there. One might start with the concept of a cat: a four-legged, furry, domesticated mammal with whiskers, etc. This conceptual set would attempt to find the corresponding word . This selected word would then selects morphological and phonological data /k / at/. The distinction of this model is that, during this process, other elements would also be primed ( might be somewhat primed, for example), as they are physically similar, and so can cause conceptual interference. Errors might also occur at the phoneme level, as many words are phonetically similar, e.g. mat. Substitutions of similar consonant sounds are more likely to occur, e.g. between plosive stop consonants such as d, p and b. Lower primed words are less likely to be chosen, but interference is thought to occur in cases of early selection, where the level of activation of the target and interference words is at the same level.Lexical access model
This model states that the sentence is made by a sequence of processes generating differing levels of representations. For instance, the functional level representation is made on the a preverbal representation, which is essentially what the speaker seeks to express. This level is responsible for encoding the meanings of lexical items and the way that grammar forms relationships between them. Next, the positional level representation is built, which functions to encode the phonological forms of words and the order they are found in sentence structures. Lexical access, according to this model, is a process that encompasses two serially ordered and independent stages.Additional aspects
Fluency
Fluency can be defined in part by prosody, which is shown graphically by a smooth intonation contour, and by a number of other elements: control of speech rate, relative timing of stressed and unstressed syllables, changes in amplitude, changes in fundamental frequency. In other words, fluency can be described as whether someone speaks smoothly and easily. This term is used in speech-language pathology when describing disorders with stuttering or other disfluencies.Multilingualism
Whether or not a speaker is fluent in one or more languages, the process for producing language remains the same. However, bilinguals speaking two languages within a conversation may have access to both languages at the same time. Three of the most commonly discussed models for multilingual language access are the Bilingual Interactive Activation Plus model, the Revised Hierarchical Model, and the Language Mode model: * Bilingual Interactive Activation Plus, updated from a model made by Dijkstra and Van Heuven, uses solely bottom-up processing to facilitate bilingual language access. This model suggests that the lexicon for bilingual speakers combines the languages, and access occurs across both languages at the same time. * Revised Hierarchical Model, developed by Kroll and Stewart, is a model suggesting that bilingual brains store meanings in a common place, word-forms are separated by language. * Language Mode Model, made by Grosjean, uses two assumptions to map bilingual language production in a modular way. These assumptions are that a base language is activated in conversation, and that the speaker's other language is activated to relative degrees depending on context. De Bot describes it as overly simple for the complexity of the process and suggests it has room for expansion. Speakers fluent in multiple languages may inhibit access to one of their languages, but this suppression can only be done once the speaker is at a certain level of proficiency in that language. A speaker can decide to inhibit a language based on non-linguistic cues in their conversation, such as a speaker of both English and French inhibiting their French when conversing with people who only speak English. When especially proficient multilingual speakers communicate, they can participate inResearch methods
There are three main types of research into language production: speech error collection, picture-naming, and elicited production. Speech error collection focuses on using the analysis of speech errors made in naturally produced speech. On the other hand, elicited production focuses on elicited speech and is conducted in a lab. Also conducted in a lab, picture-naming focuses on reaction-time data from picture-naming latencies. Although originally disparate, these three methodologies are generally looking at the same underlying processes of speech production.Speech errors
Speech errors have been found to be common in naturally produced speech. Analysis of speech errors has found that not all are random, but rather systematic and fall into several categories. These speech errors can demonstrate parts of the language processing system, and what happens when that system doesn't work as it should. Language production occurs quickly with speakers saying a little more than 2 words per second; so though errors occur only once out of 1,000 words, they occur relatively often throughout a speaker's day at once every 7 minutes. Some examples of these speech errors that would be collected by psycholinguists are: * Anticipation: The word adds a sound from a word planned for later in the utterance. :: ''target'': paddle tennis :: ''produced'': tennis * Preservation: The word retains characteristics of a word said previously in an utterance. :: ''target'': red wagon :: ''produced'': red * Blending: More than one word is being considered in the lexicon and the two intended items "blend" into a single item. :: ''target'': shout/yell :: ''produced'': shell * Addition: Additional of linguistics material added to the word. :: ''target'': impossible :: ''produced'': * Substitution: A whole word of related meaning is replacing another. :: ''target'': at low speed it's too heavy :: ''produced'': at low speed it's too light * Malapropism: A lay term, in reference to a character Mrs.Picture-naming
Picture-naming tasks ask participants to look at pictures and name them in a certain way. By looking at the time course for the responses in these tasks, psycholinguists can learn more about the planning involved in specific phrases. These types of tasks can be helpful for investigating cross-linguistic language production and planning processes.Elicited Production
Elicited production tasks ask participants to respond to questions or prompts in a particular way. One of the more common types of elicited production tasks is the sentence completion task. These tasks give the participants the beginning of a target sentence, which the participants are then asked to complete. Analyzing these completions can allow psycholinguistics to investigate errors that might be difficult to elicit otherwise.See also
*References
Further reading
* {{Cite book , last1 = Carroll , first1 = David W. , title = Psychology of language , date = 2008 , publisher =