Constituency Trees: Difference between revisions

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== Context Free Grammar ==
== Context Free Grammar ==


Grammars, generally, are a way of describing a potentially infinite set of strings (sentences) using a finite set of production rules. TODO snad zitra...
Grammars, generally, are a way of describing a potentially infinite set of strings (sentences) using a finite set of production rules. In a [[https://en.wikipedia.org/wiki/Context-free_grammar context-free grammar]], production rules take the following form:
 
V → w
 
V is a non-terminal symbol (for natural languages, non-terminals usually correspond to **phrases**, such as NP for noun phrases) and w is a (non-empty) string of terminals (words) and nonterminals. It is known that CFGs cannot fully describe natural languages but for MT, they can serve as a very useful simplification.


== Syntax in Machine Translation ==
== Syntax in Machine Translation ==

Revision as of 09:40, 6 August 2015

Lecture 10: Constituency Trees
Lecture video: web TODO
Youtube

{{#ev:youtube|https://www.youtube.com/watch?v=y_9SEdG1u3U%7C800%7Ccenter}}

Context Free Grammar

Grammars, generally, are a way of describing a potentially infinite set of strings (sentences) using a finite set of production rules. In a [context-free grammar], production rules take the following form:

V → w

V is a non-terminal symbol (for natural languages, non-terminals usually correspond to **phrases**, such as NP for noun phrases) and w is a (non-empty) string of terminals (words) and nonterminals. It is known that CFGs cannot fully describe natural languages but for MT, they can serve as a very useful simplification.

Syntax in Machine Translation

Synchronous Grammars for Translation

Translating with SCFG

Synchronous Grammar Extraction