Difference between revisions of "Earley-based structural transfer for Apertium"
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* Currently, Apertium uses text streams to communicate. I assume this would not be possible here. |
* Currently, Apertium uses text streams to communicate. I assume this would not be possible here. |
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* When would one call the bilingual dictionary? Apertium Level 2 calls it in the first stage. |
* <s>When would one call the bilingual dictionary? Apertium Level 2 calls it in the first stage.</s> |
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* We should check whether this has been done before. |
* We should check whether this has been done before. |
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::The English → Urdu translation system linked [[ |
::The English → Urdu translation system linked [[Specific resources per language#Urdu|here]] seems to use LFG and Earley-based parsing. |
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* In case there is more than one parse of a sentence, there should be a way to select the most likely. |
* In case there is more than one parse of a sentence, there should be a way to select the most likely. |
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[[Category:Development]] |
[[Category:Development]] |
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[[Category:Documentation in English]] |
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[[Category:Transfer]] |
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Latest revision as of 21:21, 2 October 2013
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[edit]
- 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.
- The English → Urdu translation system linked here seems to use LFG and Earley-based parsing.
- In case there is more than one parse of a sentence, there should be a way to select the most likely.
Existing parsers[edit]
- Main article: Parsers
Current free-software parsers which might be worth looking at:
- AGFL parser (GPL)
Further reading[edit]
- Koichi Takeda Pattern-Based Context-Free Grammars for Machine Translation (private access)
- 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
- J. Earley, (1970) "An efficient context-free parsing algorithm", Communications of the Association for Computing Machinery, 13:2:94--102, 1970.
