

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

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pragmatics

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Elementary

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Teaching Methods

Teaching Strategies

Assessment
LEXICAL SEGMENTATION
المؤلف:
John Field
المصدر:
Psycholinguistics
الجزء والصفحة:
P156
2025-09-10
386
LEXICAL SEGMENTATION
The division of connected speech into words, assisted by cues which indicate where word boundaries lie.
Pausing in connected speech is very variable, but occurs on a rough average about once every 12 syllables. A chunk of speech thus contains several words, with no gaps between them. In principle, some word boundaries are marked by allophonic cues (lengthening, aspiration etc.); but such cues are often not present in informal speech. Furthermore, accommodation (assimilation, elision etc.) may vary the form of a word at precisely the point where the listener needs information most– namely, at the boundary between it and the word that follows.
A number of solutions to the segmentation problem have been proposed:
A linear solution. The listener identifies a word and the end-point of that word marks the beginning of the next. Unfortunately for this view, many words are not unique by their end (few might be the beginning of future), while many others have words embedded in them (catalogue) and others still can be segmented two ways (a sister/assist her).
Aphonological solution. There is evidence that listeners make use of phonotactic cues. For example, the sequence /mgl/ does not occur in any English word, so there must be a boundary between /m/ and /gl/. However, cues of this type are relatively infrequent.
A ‘unit of segmentation’ solution. Evidence suggests that French listeners segment the speech signal syllable by syllable. However, the syllable is not such a reliable unit in English. There is a marked difference in length and salience between weak and strong syllables (compare the two syllables in PROCEED) and some syllables have ambiguous boundaries (the /m/ in LEMON seems to belong both to lem- and to-mon).
A time-based solution. Computer models of speech recognition (see TRACE) process the message in time-slices. However, this involves a very complex procedure for matching the phonemes within each time-slice against all possible words, and for relating them to the phonemes in previous slices.
A rhythmic solution. The most convincing solution for the segmentation of English exploits the fact that the majority of content words in running English speech begin with a strong syllable. Cutler and Norris propose a Metrical Segmentation Strategy whereby a listener works on the assumption that each strong syllable initiates a new word. An initial weak syllable is assumed to be a weakly stressed function word; other weak syllables are attached to preceding strong ones as a first segmentation hypothesis. This account of English segmentation is supported by evidence from language acquisition. Infants from an early age exercise a preference for the strong–weak rhythmic alternation which characterises English speech.
Computer modelling and numerous on-line experiments have demonstrated the validity of this theory. Note that it defines the strong syllable as one with full vowel quality rather than one that bears stress; the argument is that this enables the listener to make a simple binary judgement (full vowel vs weak vowel) whereas judgement of stress is relative.
There has been considerable cross-linguistic research into lexical segmentation. The working assumption was that languages which are loosely termed ‘stress-based’ (German, Dutch) might lend themselves to a metrical strategy like that of English, while those characterised as ‘syllable-based’ (Spanish, Italian) gave rise to a syllabic strategy like the French one. However, the research findings with European languages have been contradictory. Where strong evidence has emerged is of a third strategy specific to Japanese listeners and based upon the mora, a sub-syllabic unit characteristic of Japanese. Segmentation research has also been extended to language features not specifically metrical: it has been suggested that Finnish listeners employ a combination of stress and vowel harmony, reflecting the unique characteristics of their language.
The question has also been raised of whether a listener can acquire a segmentation strategy specific to a second language and distinct from their native language routine. There is some evidence to suggest that, in these circumstances, they attempt to apply a native strategy or revert to a more generalised one.
The point should be made that lexical segmentation is not an issue for all listeners. It has been estimated that about half of the world’s languages feature fixed lexical stress which occurs exclusively on the first or last syllable of a word. This enables stress to be used demarcatively as a signal of word boundary location.
See also: Bootstrapping, Phonotactic rules, SW (strong-weak) pattern, Unit of perception
Further reading: Cutler (1990, 1996); Cutler and Mehler (1993); Grosjean and Gee (1987)
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