The Transformation Model: A Crash Course
Noam Chomsky developed transformational grammar. This forms the basis of the NLP Meta-Model. A short introduction will explain the main ideas of the transformation model. There are a lot of rules in our language that are mainly determined by grammar. In English we distinguish three categories of rules: 1. Well-formedness, 2. Unit structure, 3. Logical contextual relationships.
1. Well-formedness:
Which of the following three sentences sound well-formed?
- Even professors have speech problems.
- Even professors have spotted blemishes.
- Even professors has speech problems.
The first sentence is well-formed, complete and grammatically correct.
The second sentence sounded well-formed, but the content is unclear - therefore we speak of a semantically misspelled sentence. (semantics = doctrine of the meaning of the words).
The third sentence is syntactically malformed, i.e., grammatically wrong. (syntax = sentence construction)
2. Unit structure:
Sentences can be subdivided into units that belong together. You can easily recognize this in the following sentence:
- The Maharajah of India believed the Maharani would eat.
“The Maharajah” and “of India” form a unity. They belong together. The “Maharaja” and the word “would” do not form a unity.
3. Logical contextual relationships
Whether a sentence is logical or not, whether it makes sense or not, is decided the feeling of the language. There are five criteria to decide if a sentence is logical or not:
- Complete
(Whenever you hear a verb, you can determine what information is needed for the verb so that the entire sentence makes sense. We call this information “valence”.) - Ambiguity
(Sentences can convey different contents.
Example: The investigation of police officers can be dangerous.
Meanings: a) The investigation conducted by police officers can be dangerous. b) Investigating the police can be dangerous. - Synonymity
(Sentences of like meanings, for example, Susanne looked for the address. Susanne looked up the address.) - Relationship indices
(Indications of relationships between words. Example: My car is fantastic.) - Presuppositions
(Sentences that provide additional information.
Example: My dog ran away. This sentence assumes I have a dog.)
The surface structure of a sentence is always what is literally said and can be represented in a structure tree (graphical representation of sentence structures). The words are grouped into units that belong together. Example: "The Meyer family bought a house." Here 3 units can be summarized, namely: The married couple Meyer / bought / a house. The deep structure is a complete, well-formed sentence. Example: "The Meyer family bought a house from their neighbors with money." A transformation is a transfer of the sentence from the deep structure to the surface structure. When a deep structure is linked to more than one surface structure, it is called synonymity transformation.