
- •The role of natural language processing
- •Linguistics and its structure
- •What we mean by computational linguistics
- •Word, what is it?
- •The important role of the fundamental science
- •Current state of applied research on spanish
- •Conclusions
- •II. A historical outline
- •The structuralist approach
- •Initial contribution of chomsky
- •A simple context-free grammar
- •Transformational grammars
- •The linguistic research after chomsky: valencies and interpretation
- •Linguistic research after chomsky: constraints
- •Head-driven phrase structure grammar
- •The idea of unification
- •The meaning text theory: multistage transformer and government patterns
- •The meaning text theory: dependency trees
- •The meaning text theory: semantic links
- •Conclusions
- •III. Products of computational linguistics: present and prospective
- •Classification of applied linguistic systems
- •Automatic hyphenation
- •Spell checking
- •Grammar checking
- •Style checking
- •References to words and word combinations
- •Information retrieval
- •Topical summarization
- •Automatic translation
- •Natural language interface
- •Extraction of factual data from texts
- •Text generation
- •Systems of language understanding
- •Related systems
- •Conclusions
- •IV. Language as a meaning text transformer
- •Possible points of view on natural language
- •Language as a bi-directional transformer
- •Text, what is it?
- •Meaning, what is it?
- •Two ways to represent meaning
- •Decomposition and atomization of meaning
- •More on homonymy
- •Multistage character of the meaning text transformer
- •Translation as a multistage transformation
- •Two sides of a sign
- •Linguistic sign
- •Linguistic sign in the mmt
- •Linguistic sign in hpsg
- •Are signifiers given by nature or by convention?
- •Generative, mtt, and constraint ideas in comparison
- •Conclusions
- •V. Linguistic models
- •What is modeling in general?
- •Neurolinguistic models
- •Psycholinguistic models
- •Functional models of language
- •Research linguistic models
- •Common features of modern models of language
- •Specific features of the meaning text model
- •Reduced models
- •Do we really need linguistic models?
- •Analogy in natural languages
- •Empirical versus rationalist approaches
- •Limited scope of the modern linguistic theories
- •Conclusions
- •Exercises
- •Review questions
- •Problems recommended for exams
- •Literature
- •Recommended literature
- •Additional literature
- •General grammars and dictionaries
- •References
- •Appendices some spanish-oriented groups and resources
Transformational grammars
Further research revealed great generality, mathematical elegance, and wide applicability of generative grammars. They became used not only for description of natural languages, but also for specification of formal languages, such as those used in mathematical logic, pattern recognition, and programming languages. A new branch of science called mathematical linguistics (in its narrow meaning) arose from these studies.
During the next three decades after the rise of mathematical linguistics, much effort was devoted to improve its tools for it to better correspond to facts of natural languages. At the beginning, this research stemmed from the basic ideas of Chomsky and was very close to them.
However, it soon became evident that the direct application of simple context-free grammars to the description of natural languages encounters great difficulties. Under the pressure of purely linguistic facts and with the aim to better accommodate the formal tools to natural languages, Chomsky proposed the so-calledtransformational grammars. They were mainly English-oriented and explained how to construct an interrogative or negative sentence from the corresponding affirmative one, how to transform the sentence in active voice to its passive voice equivalent, etc.
For example, an interrogative sentence such as Does John see Mary? does not allow a nested representation as the one shown on page 37 since the two words does and see obviously form a single entity to which the word John does not belong. Chomsky’s proposal for the description of its structure consisted in
(a) description of the structure of some “normal” sentence that does permit the nested representation plus
(b) description of a process of obtaining the sentence in question from such a “normal” sentence by its transformation.
Namely, to construct the interrogative sentence from a “normal” sentence “John sees Mary.”, it is necessary
(1) to replace the period with the question mark (*John sees Mary?),
(2) to transform the personal verb form see into a word combination does see (*John does see Mary?), and finally
(3) to move the word does to the beginning of the sentence (Does John see Mary?), the latter operation leading to the “violation” of the nested structure.
This is shown in the following figure:
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Not nested: |
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A transformational grammar is a set of rules for such insertions, permutations, movements, and corresponding grammatical changes. Such a set of transformational rules functions like a program. It takes as its input a string constructed according to some context-free grammar and produces a transformed string.
The application of transformational grammars to various phenomena of natural languages proved to be rather complicated. The theory has lost its mathematical elegance, though it did not acquire much of additional explanatory capacity.