Difference between revisions of "Earley-based structural transfer for Apertium"
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* Koichi Takeda [http://66.102.9.104/search?q=cache:E-giecHfU8QJ:acl.ldc.upenn.edu/P/P96/P96-1020.pdf+earley+algorithm+%22machine+translation%22&hl=en&ct=clnk&cd=6&client=iceweasel-a Pattern-Based Context-Free Grammars for Machine Translation] |
* Koichi Takeda [http://66.102.9.104/search?q=cache:E-giecHfU8QJ:acl.ldc.upenn.edu/P/P96/P96-1020.pdf+earley+algorithm+%22machine+translation%22&hl=en&ct=clnk&cd=6&client=iceweasel-a Pattern-Based Context-Free Grammars for Machine Translation] |
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:This paper proposes the use of "pattern-based" context-free grammars as a basis for building machine translation (MT) systems. |
:This paper proposes the use of "pattern-based" context-free grammars as a basis for building machine translation (MT) systems. |
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| − | *Randall Sharp and Oliver Streiter [http:// |
+ | *Randall Sharp and Oliver Streiter [http://www.iai.uni-sb.de/docs/meta93.pdf Simplifying the Complexity of Machine Translation] |
[[Category:Development]] |
[[Category:Development]] |
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Revision as of 20:00, 7 November 2007
Perhaps Earley's algorithm to parse context-free grammars (which has a left-to-right longest-match philosophy as Apertium) could be used to perform more complex syntactical transformations; this could be useful for distant language pairs containing embedded structures.
Open questions
- Currently, Apertium uses text streams to communicate. I assume this would not be possible here.
- When would one call the bilingual dictionary? Apertium Level 2 calls it in the first stage.
- We should check whether this has been done before.
- In case there is more than one parse of a sentence, there should be a way to select the most likely.
Existing parsers
Current free-software parsers which might be worth looking at:
- AGFL parser (GPL)
Further reading
- This paper proposes the use of "pattern-based" context-free grammars as a basis for building machine translation (MT) systems.
- Randall Sharp and Oliver Streiter Simplifying the Complexity of Machine Translation
