Difference between revisions of "Crimean Tatar and Turkish/Work plan"
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** [[WER]] < 25% in both directions. |
** [[WER]] < 25% in both directions. |
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== Weekly Schedule == |
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{|class=wikitable |
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|- |
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!rowspan="2"| Week !!rowspan="2"| Dates !!colspan="3"| Target !! !!colspan="3"| Achieved !!rowspan="2"| Evaluation |
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|- |
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! crh-tur cov. !! tur-crh cov. !! testvoc !! !! crh-tur cov. !! tur-crh cov. !! testvoc |
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|- |
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| 1 || 07/06—11/06 |
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| 65% || 65% || pronouns || || || || || |
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|- |
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|- |
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| 12 || 21/08—27/08 |
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| 90% || 90% || all categories || || || || || |
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|} |
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=== Coverage === |
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To measure the bidix-trimmed coverage, use <code>apertium-crh-tur/testvoc/corpus/trimmed-coverage.sh</code>: |
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<pre> |
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apertium-crh-tur$ bzcat ~/src/turkiccorpora/crh.wpdump.20151123.txt.bz2 | \ |
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bash testvoc/corpus/trimmed-coverage.sh | less |
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Number of tokenised words in the corpus: 148013 |
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Number of tokenised words unknown to analyser: 63730 — 43.1 % of tokens had * |
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unknown to bidix: 112 — 0.1 % of tokens had @ |
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w/transfer errors or unknown to generator: 2473 — 1.7 % of tokens had # |
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Error-free coverage of analyser only: 84283 — 56.9 % of tokens had no * |
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Error-free coverage of analyser and bidix: 84171 — 56.9 % of tokens had no */@ |
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Error-free coverage of the full translator: 81698 — 55.2 % of tokens had no */@/# |
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Top unknown words in the corpus: |
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972 ^*Ukrainanıñ$ |
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939 ^*vilâyetinde$ |
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631 ^*şeklinde$ |
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607 ^*qasaba$ |
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508 ^*merkezi$ |
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434 ^*rayonınıñ$ |
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329 ^*da$ |
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283 ^*de$ |
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235 ^*adı$ |
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221 ^*vilâyeti$ |
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Tokens needed to get 65.0 % bidix-trimmed coverage (no */@/#): 12037 |
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Storing corresponding wordlist in /tmp/corpus-stat-all-needed.txt |
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^Baş<n><nom>$ Baş |
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^*Saife$ *Saife |
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... |
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</pre> |
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=== Testvoc === |
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Requirements for testvoc in week 1: |
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# all pronouns from Wikipedia are translated without debug symbols |
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# all pronouns transducers generate must pass without debug symbols (this is less important, and only to focus on if done with 1) |
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To achieve 1: |
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* analyse corpora with crh-morph/tur-morph mode |
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* grep pronouns |
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* make sure they pass through the rest of the pipeline without getting @ or # |
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To achieve 2: |
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* in 'Root' lexicon of the .lexc files, comment out everything except Pronouns |
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* generate pronouns with <code>hfst-fst2string crh/tur.automorf.hfst</code> |
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* make sure they pass through the rest of the pipeline without getting @ or # |
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We don't want to spend too much time on forms which are probably over-generated by the transducers. This is the reason why we focus on 1 first. |
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---- |
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This plan below might change. |
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{|class=wikitable |
{|class=wikitable |
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Line 218: | Line 138: | ||
|- |
|- |
||
|} |
|} |
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=== Coverage === |
|||
To measure the bidix-trimmed coverage, use <code>apertium-crh-tur/testvoc/corpus/trimmed-coverage.sh</code>: |
|||
<pre> |
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apertium-crh-tur$ bzcat ~/src/turkiccorpora/crh.wpdump.20151123.txt.bz2 | \ |
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bash testvoc/corpus/trimmed-coverage.sh | less |
|||
Number of tokenised words in the corpus: 148013 |
|||
Number of tokenised words unknown to analyser: 63730 — 43.1 % of tokens had * |
|||
unknown to bidix: 112 — 0.1 % of tokens had @ |
|||
w/transfer errors or unknown to generator: 2473 — 1.7 % of tokens had # |
|||
Error-free coverage of analyser only: 84283 — 56.9 % of tokens had no * |
|||
Error-free coverage of analyser and bidix: 84171 — 56.9 % of tokens had no */@ |
|||
Error-free coverage of the full translator: 81698 — 55.2 % of tokens had no */@/# |
|||
Top unknown words in the corpus: |
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972 ^*Ukrainanıñ$ |
|||
939 ^*vilâyetinde$ |
|||
631 ^*şeklinde$ |
|||
607 ^*qasaba$ |
|||
508 ^*merkezi$ |
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434 ^*rayonınıñ$ |
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329 ^*da$ |
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283 ^*de$ |
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235 ^*adı$ |
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221 ^*vilâyeti$ |
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Tokens needed to get 65.0 % bidix-trimmed coverage (no */@/#): 12037 |
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Storing corresponding wordlist in /tmp/corpus-stat-all-needed.txt |
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^Baş<n><nom>$ Baş |
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^*Saife$ *Saife |
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... |
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</pre> |
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=== Testvoc === |
|||
Requirements for testvoc in week 1: |
|||
# all pronouns from Crimean Tatar corpora are translated without debug symbols |
|||
# all pronouns the transducer generates must pass without debug symbols (this is less important, and only to focus on if done with 1) |
|||
To achieve 1: |
|||
* analyse corpora with crh-morph mode |
|||
* grep pronouns |
|||
* make sure they pass through the rest of the pipeline without getting @ or # |
|||
To achieve 2: |
|||
* in 'Root' lexicon of the .lexc file, comment out everything except Pronouns |
|||
* generate pronouns with <code>hfst-fst2string crh.automorf.hfst</code> |
|||
* make sure they pass through the rest of the pipeline without getting @ or # |
|||
We don't want to spend too much time on forms which might be over-generated by the transducer. This is the reason why we focus on 1 first. |
|||
[[Category:Crimean Tatar and Turkish|Work plan]] |
[[Category:Crimean Tatar and Turkish|Work plan]] |
Revision as of 17:08, 7 June 2017
What selimcan expects:
- a bidirectional Crimean Tatar-Turkish translator for translating Wikipedia articles, with:
- >90% bidix-trimmed coverage on both Wikipedias,
- Wikipedia-corpus-testvoc and single-stem-per-lexicon-testvoc clean in both directions,
- WER < 25% in both directions.
Week | Dates | Coverage | Achieved | Evaluation |
---|---|---|---|---|
3 | 22nd May — 28th May | 40% | 43.9% | |
* Add all non-inflecting words | ||||
* Finish challenge text (no *,#) | ||||
* Do baseline evaluation (WER) | ||||
Official start | ||||
4 | 29th May — 4th June | 40% | ||
* Break | ||||
5 | 5th June — 11th June | 65% | ||
* ? | ||||
6 | 12th June — 18th June | 70% | ||
* ? | ||||
* ? | ||||
7 | 19th June — 25th June | 80% | ||
Phase 1 evaluation | ||||
Deliverable: All closed classes + numerals testvoc clean | ||||
8 | 26th June — 2nd July | 84% | ||
* ? | ||||
* ? | ||||
9 | 3rd July — 9th July | 82% | ||
* ? | ||||
10 | 10th July — 16th July | 84% | ||
* ? | ||||
* ? | ||||
11 | 17th July — 23rd July | 86% | ||
Phase 2 evaluation | ||||
Deliverable: Nouns, adjectives testvoc clean | ||||
* ? | ||||
12 | 24th July — 30th July | 88% | ||
* ? | ||||
13 | 1st August — 6th August | 89% | ||
* ? | ||||
14 | 7th August — 13th August | 90% | ||
* ? | ||||
15 | 14th August — 20th August | 91% | ||
* ? | ||||
16 | 21th August — 27th August | 92% | ||
Final evaluation | ||||
Final deliverable: Full MT system, testvoc clean. | ||||
* Evaluation | ||||
* Write paper | ||||
17 | 28th August — 3rd September | |||
* Write paper | ||||
18 | 4th September — 6th September | |||
* Write paper |
Coverage
To measure the bidix-trimmed coverage, use apertium-crh-tur/testvoc/corpus/trimmed-coverage.sh
:
apertium-crh-tur$ bzcat ~/src/turkiccorpora/crh.wpdump.20151123.txt.bz2 | \ bash testvoc/corpus/trimmed-coverage.sh | less Number of tokenised words in the corpus: 148013 Number of tokenised words unknown to analyser: 63730 — 43.1 % of tokens had * unknown to bidix: 112 — 0.1 % of tokens had @ w/transfer errors or unknown to generator: 2473 — 1.7 % of tokens had # Error-free coverage of analyser only: 84283 — 56.9 % of tokens had no * Error-free coverage of analyser and bidix: 84171 — 56.9 % of tokens had no */@ Error-free coverage of the full translator: 81698 — 55.2 % of tokens had no */@/# Top unknown words in the corpus: 972 ^*Ukrainanıñ$ 939 ^*vilâyetinde$ 631 ^*şeklinde$ 607 ^*qasaba$ 508 ^*merkezi$ 434 ^*rayonınıñ$ 329 ^*da$ 283 ^*de$ 235 ^*adı$ 221 ^*vilâyeti$ Tokens needed to get 65.0 % bidix-trimmed coverage (no */@/#): 12037 Storing corresponding wordlist in /tmp/corpus-stat-all-needed.txt ^Baş<n><nom>$ Baş ^*Saife$ *Saife ...
Testvoc
Requirements for testvoc in week 1:
- all pronouns from Crimean Tatar corpora are translated without debug symbols
- all pronouns the transducer generates must pass without debug symbols (this is less important, and only to focus on if done with 1)
To achieve 1:
- analyse corpora with crh-morph mode
- grep pronouns
- make sure they pass through the rest of the pipeline without getting @ or #
To achieve 2:
- in 'Root' lexicon of the .lexc file, comment out everything except Pronouns
- generate pronouns with
hfst-fst2string crh.automorf.hfst
- make sure they pass through the rest of the pipeline without getting @ or #
We don't want to spend too much time on forms which might be over-generated by the transducer. This is the reason why we focus on 1 first.