Difference between revisions of "User:Francis Tyers/Sandbox2"
Jump to navigation
Jump to search
| (3 intermediate revisions by the same user not shown) | |||
| Line 26: | Line 26: | ||
* Rationale: Dictionary doesn't provide good enough coverage to produce statistically significant results over a whole corpus. |
* Rationale: Dictionary doesn't provide good enough coverage to produce statistically significant results over a whole corpus. |
||
* Discarding because of bad tagging: 'to', 'sol', 'portada' (less than 60% correct) |
* Discarding because of bad tagging/MWE recognition: 'to', 'sol', 'portada', 'cap', 'cop', 'marxa' (less than 60% correct) |
||
Training corpus: |
Training corpus: |
||
| Line 46: | Line 46: | ||
* Take the top scoring analysis:analysis results where the POS matches |
* Take the top scoring analysis:analysis results where the POS matches |
||
* Where the word is already ambiguous in the Apertium dictionaries, add the possibilities from GIZA to the dictionary so that they may be chosen -- only added with POS tag. |
* Where the word is already ambiguous in the Apertium dictionaries, add the possibilities from GIZA to the dictionary so that they may be chosen -- only added with POS tag. |
||
==Annotation process== |
|||
# Translate corpus (native speaker of English, competent Catalan), adding missing translations to bilingual dictionary options. |
|||
#* Words with too many tagging errors, or MWE errors are left out. |
|||
# Proofread corpus |
|||
# Run corpus up to lexical transfer stage |
|||
# Annotate output of lexical transfer |
|||
Latest revision as of 08:11, 30 September 2011
Constraint-based lexical selection for rule-based machine translation
Corpus: cawiki-20110616-pages-articles.xml.bz2
cleaned with `aq-wikicrp'
1758582 lines
531983 unique analyses
531436 lines with >1 translation (30%)
2740 analyses with >1 translation
287 words (lemma+pos) with >1 translation in corpus
712 words in dictionary with >1 translation
1.03 fertility of dictionary over corpus (e.g. total number of word:word translations / total number of words)
Test corpus:
- 150 test words
- 1,500 sentences
- 10 per test word
- Randomly selected from the subset of sentences which were found in the corpus.
- Only words with >100 example sentences included
- Rationale: Dictionary doesn't provide good enough coverage to produce statistically significant results over a whole corpus.
- Discarding because of bad tagging/MWE recognition: 'to', 'sol', 'portada', 'cap', 'cop', 'marxa' (less than 60% correct)
Training corpus:
Baselines:
- TL Frequency-best
- TLM-best
- Linguist set
- Full analysis:Full analysis dic from Giza++
- Rules from phrase table
Process for using GIZA++:
- Tag both sides of the corpus (europarl, en-ca, first 1,700,000 sentences) with the Apertium language pair.
- Extract the model/lex.f2e file.
- Take the top scoring analysis:analysis results where the POS matches
- Where the word is already ambiguous in the Apertium dictionaries, add the possibilities from GIZA to the dictionary so that they may be chosen -- only added with POS tag.
Annotation process[edit]
- Translate corpus (native speaker of English, competent Catalan), adding missing translations to bilingual dictionary options.
- Words with too many tagging errors, or MWE errors are left out.
- Proofread corpus
- Run corpus up to lexical transfer stage
- Annotate output of lexical transfer
