

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
Rival morphological processes 1: The productivity of verb-deriving processes Conclusion
المؤلف:
Ingo Plag
المصدر:
Morphological Productivity
الجزء والصفحة:
P117-C5
2025-01-27
840
Rival morphological processes 1: The productivity of verb-deriving processes Conclusion
It was shown that both the OED-based and the corpus-based productivity measures have turned out to be useful analytical tools, contrary to earlier claims in the literature. In general, the nature and results of the OED measure are similar to those of global productivity P* but also incorporate an element of probability by counting the number of neologisms for a given period. In the text-based measure P, this aspect is ex pressed by dividing the number of new types by the number of all tokens of the relevant category. In the light of these considerations, the OED measure combines aspects of Baayen's P* and Ρ without being exactly equivalent to either one of them.
Although the quantitative results are useful and important, the methodological problems involved with both types of data-bases are enormous, and no single measure should be overinterpreted in its estimation of the productivity of a process. In fact, the above account can be seen as a case for the combination of both types of measures, since a careful comparison of different data bases can help to detect and balance the bias necessarily involved with each individual measure. It seems, however, that the text-based measures are much better suited for affixation processes which are both semantically more clearly defined and phonologically more transparent. Especially with the verbal suffix -ate, the methodological problems abound because of its high degree of semantic, phonological and morphological opacity.
The quantitative assessment of the productivity of the verb-deriving processes can be summarized as follows. The most productive one is conversion, followed by -ize, the most productive overt suffix by far, and the suffixes -ify and -ate. All other processes examined are practically dead. In comparison to -ize, the suffixes -ify and -ate seem to be more severely restricted, in that -ate has a high global productivity, but the probability of encountering new forms is rather low. Conversely, -ify has a higher chance of occurring in new formations, but the sheer number of these instances is rather low.
Where do these differences among the suffixes come from? As already pointed out, the productivity measures are only the first step in our analysis. They state the problem, but do not solve it. We will see that the observable differences in productivity between the verb-deriving processes are largely a reflection of the structural restrictions imposed on these processes.
الاكثر قراءة في Morphology
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