Phrase-Structure Rules inside Transformational–Generative Grammar
Review of Previous Session and Course Road-Map
- The previous (6th) lecture dealt with Immediate-Constituent (IC) analysis, originated by Leonard Bloomfield (1930s) and later refined with Zellig Harris.
- Weaknesses of IC noted:
• No principled way to mark complements vs. adjuncts; all constituents appear on the same tier.
• Discontinuities, coordination, ambiguous or naturally occurring sentences often cannot be handled.
• Requires drawing a separate tree for every single sentence; poor descriptive and computational economy. - Current block (Sessions 7–8) covers Generative–Transformational Grammar (TGG):
• Session 7 = Phrase Structure Rules (PSG).
• Session 8 = Transformational Rules.
• Two further sessions will treat X-Bar Theory (1980s) and post-GB developments (up to ≈ 2022).
Immediate-Constituent vs. Phrase Structure Example
Consider the three sentences:
- The boy read the novel.
- The boy read the novel very loudly.
- The boy read the novel very loudly in the class.
IC Analysis:
- Break successively into constituents: (The boy) (read the novel) → The / boy & read / the / novel etc.
- „the novel", „very loudly", „in the class" are siblings → no hierarchy, no distinction between complement and adjunct.
PSG Analysis:
- „the novel" = complement (required to satisfy verb READ’s argument structure).
- „very loudly", „in the class" = adjuncts (optional; appear lower in the tree).
- The tree makes complement/adjunct status and hierarchical ordering explicit.
Generative–Transformational Grammar (TGG)
- Introduced by Noam A. Chomsky, (book Syntactic Structures; elaborated in Aspects of the Theory of Syntax 1965).
- Central claim: humans possess an innate, rule-governed capacity to generate an infinite set of sentences from a finite set of rules (language is linked to human cognition).
- Two rule systems inside TGG:
- Phrase-Structure Rules (a.k.a. Rewrite or Production rules).
- Transformational Rules (move, delete, insert constituents, etc.).
Components of Phrase Structure Grammar (PSG)
- Lexicon – list of words with syntactic category, sub-category, selectional properties.
- Rewrite/Production Rules – context-free schemata such as .
- Syntactic Categories –
- Head – obligatory word that determines phrase label (N is head of NP, V of VP, etc.).
- Nodes in a tree:
• Mother, Daughter, Sister relations (like family tree).
• Terminal nodes = words/lexemes. - Hierarchy – top node , successive projections downward.
Order Convention When Writing Rules
- Begin with .
- Expand .
- If present, expand .
- Expand .
- Finally, adjunct phrases (ADJP, ADVP, etc.).
Worked Example ▸ "The boy went to the park"
Phrase-Structure Tree outline:
\begin{aligned}
S &\rightarrow NP\;VP\
NP &\rightarrow Det\;N\
VP &\rightarrow V\;PP\
PP &\rightarrow P\;NP\
NP &\rightarrow Det\;N
\end{aligned}
Lexical Rules:
Derivation Steps (each step replaces the left-most non-terminal using the numbered rule):
- Replace terminals → the boy went to the park.
Types of PSG Rules
• Categorial Rules – combine abstract categories (context-free):
• Lexical Rules – map categories onto concrete words:
Productivity vs. Restriction
- Pattern can generate infinite sentences:
The girl sang a song; The man wrote the letter; … - Adding lexical rules restricts possibilities, but syntactic acceptability is still larger than semantic acceptability.
Sub-Categorisation & Selectional Restrictions
- Sub-categories further refine categories (e.g. ).
- Argument Structure: verbs specify number & type of complements.
• cry 〈NP[agent]〉 (intransitive) → “The baby cried.” complete.
• kick 〈NP[agent], NP[theme]〉 (transitive) → “The boy kicked.” is incomplete; needs object. - Selectional Restrictions ensure semantic fit (animacy, concreteness, thematic roles):
• Structurally OK but semantically odd: The bone ate the dog.
• Violates verb’s selectional rule: EAT expects an animate subject, edible object.
Advantages of PSG over IC Analysis
- Clear hierarchical representation; complements vs. adjuncts visible.
- General, flexible, rule-economical – one rule set generates many sentences.
- Formal & systematic – suitable for computational models (NLP, parsers, MT).
- Captures syntax–semantics interface via sub-categorisation & selectional rules.
- Strong descriptive power – handles complex, coordinated, or discontinuous constructions.
- Modular – rules reusable across sentences.
- Pedagogical value – clarifies subject/verb/object patterns; aids error diagnosis.
- Compatible with later theories: Government-Binding, Minimalism, Dependency, Case & Theta Theory, etc.
Key Terminology & Symbols
- – Sentence clause node.
- – phrasal categories.
- – lexical categories.
- Head – obligatory element determining phrase label.
- Complement – obligatory sister to head (licensed by sub-cat frame).
- Adjunct – optional modifier phrase.
- Argument – NP (or clause/PP) demanded by predicate’s theta grid.
- Rewrite arrow – “is expanded as”.
- Hash # – silent boundary markers before and after sentence.
- Terminal node – lexeme; non-terminal – category symbol.
Connections & Implications
- IC analysis provided first structural insight; PSG refines this with explicit hierarchy and rule generativity.
- PSG lays groundwork for transformational component: once base structure is built, transformations can move/delete constituents to yield surface forms (e.g. Passive, Questions, WH-movement).
- Sub-categorisation & selectional mechanisms anticipate later developments such as Theta Theory, Case Theory, X-Bar schema, and Minimalist feature checking.
- Computational linguistics (e.g. context-free parsing, Treebank annotation) still largely rests on PSG notions.
Practical Study Tips
- Practise drawing trees and writing the corresponding rule list + derivation.
- Always state category rules first, lexical rules second.
- Respect the conventional order:
- Test grammaticality:
• Syntactic test → matches rule inventory.
• Semantic test → satisfies selectional restrictions. - Identify complements vs. adjuncts with deletion and obligatoriness tests.
- Memorise common sub-categorisation frames (e.g. V[ditrans] 〈NP, NP〉 = give).