

Grammar


Tenses


Present

Present Simple

Present Continuous

Present Perfect

Present Perfect Continuous


Past

Past Simple

Past Continuous

Past Perfect

Past Perfect Continuous


Future

Future Simple

Future Continuous

Future Perfect

Future Perfect Continuous


Parts Of Speech


Nouns

Countable and uncountable nouns

Verbal nouns

Singular and Plural nouns

Proper nouns

Nouns gender

Nouns definition

Concrete nouns

Abstract nouns

Common nouns

Collective nouns

Definition Of Nouns

Animate and Inanimate nouns

Nouns


Verbs

Stative and dynamic verbs

Finite and nonfinite verbs

To be verbs

Transitive and intransitive verbs

Auxiliary verbs

Modal verbs

Regular and irregular verbs

Action verbs

Verbs


Adverbs

Relative adverbs

Interrogative adverbs

Adverbs of time

Adverbs of place

Adverbs of reason

Adverbs of quantity

Adverbs of manner

Adverbs of frequency

Adverbs of affirmation

Adverbs


Adjectives

Quantitative adjective

Proper adjective

Possessive adjective

Numeral adjective

Interrogative adjective

Distributive adjective

Descriptive adjective

Demonstrative adjective


Pronouns

Subject pronoun

Relative pronoun

Reflexive pronoun

Reciprocal pronoun

Possessive pronoun

Personal pronoun

Interrogative pronoun

Indefinite pronoun

Emphatic pronoun

Distributive pronoun

Demonstrative pronoun

Pronouns


Pre Position


Preposition by function

Time preposition

Reason preposition

Possession preposition

Place preposition

Phrases preposition

Origin preposition

Measure preposition

Direction preposition

Contrast preposition

Agent preposition


Preposition by construction

Simple preposition

Phrase preposition

Double preposition

Compound preposition

prepositions


Conjunctions

Subordinating conjunction

Correlative conjunction

Coordinating conjunction

Conjunctive adverbs

conjunctions


Interjections

Express calling interjection

Phrases

Sentences


Grammar Rules

Passive and Active

Preference

Requests and offers

wishes

Be used to

Some and any

Could have done

Describing people

Giving advices

Possession

Comparative and superlative

Giving Reason

Making Suggestions

Apologizing

Forming questions

Since and for

Directions

Obligation

Adverbials

invitation

Articles

Imaginary condition

Zero conditional

First conditional

Second conditional

Third conditional

Reported speech

Demonstratives

Determiners


Linguistics

Phonetics

Phonology

Linguistics fields

Syntax

Morphology

Semantics

pragmatics

History

Writing

Grammar

Phonetics and Phonology

Semiotics


Reading Comprehension

Elementary

Intermediate

Advanced


Teaching Methods

Teaching Strategies

Assessment
Selection
المؤلف:
Paul Warren
المصدر:
Introducing Psycholinguistics
الجزء والصفحة:
P128
2025-11-06
289
Selection
If multiple word candidates have been contacted on the basis of the initial sounds of an input word, then some kind of selection process must choose between them so that a word can be recognised. The illustration in Figure 8.1 suggests that as further bottom-up information becomes available, i.e. as more of the word is heard, then the appropriate word will eventually emerge as the only one that still matches the input. For each word we can identify a uniqueness point, i.e. a point in the word where it no longer overlaps with other words in the initial cohort. ep ending on the speaker’s pronunciation, for captain / kæptən / this point could be the second vowel sound /ə/, where this word becomes distinct from captive /kæptiv/. Theoretical uniqueness points can be determined by searching through pronunciation-based dictionaries or lexical databases. These can be confirmed through gating experiments see above, which indicate that the actual recognition points of words correlate highly with these unique ness points. There has been some debate about the mechanism that results in the decision that a particular word has been heard. In our illustration this might require that a word’s activation passes some threshold level. Alternatively, there may need to be some difference between the relative probabilities of the words in the cohort expressed as some measure of the differences between the curves in Figure 8.1.
But what about nonwords – how are these recognised’ That is, how do we know when we hear slundle that it is not a word of our language Clearly there is no stored representation in our mental lexicon for a word that does not exist. It is claimed, though, that the recognition of nonsense words follows the same process as the recognition of real words. This is a process that is optimally efficient, in that decisions are made as rapidly as possible. It makes sense that the same process should apply to real and nonsense words, because we do not know before we hear a word whether it will be one that we know or not, so we are not able to deploy different strategies in advance of hearing it. In the case of a nonword input, a set of words matching the initial input is activated, and the activation levels of the members of this set change as more of the input is heard and processed, until there is no remaining strong candidate word. This will be at the point in the nonsense word where it diverges from known words. This is known as the deviation point.
The significance of the deviation point was first demonstrated in an experiment in which participants were required to press a response but ton whenever they heard a nonsense word in a list of stimulus words. It was found that response times were reasonably constant at around 450 msec when measured from the deviation point (Marslen-Wilson, 1980). Other studies, however, have cast a shadow of doubt over that result, since they have found some variation in the response times from the deviation point, variation which depends both on the nature of the task that participants are doing and also on the word-likeness of the material after the deviation point (Goodman & Huttenlocher, 1988; Taft Hambly, 1986). It seems that listeners continue to monitor the input after the deviation point, so that a more word-like ending, such as a regular affix like se or - will slow down the no’ responses in the lexical decision task. Such continued monitoring of the input is of practical value in ordinary speech comprehension situations, since we are able to recognise words even under noisy conditions e.g. at parties or with machinery operating in the background. We can also recognise words when sounds within them are mispronounced. As we will see below, this is facilitated by the use of information from the utterance context in which the word is heard.
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