Difference between revisions of "User:Eiji"
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== Work plan == |
== Work plan == |
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* '''Phase1''' |
* '''Phase1''' |
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| Week 1 |
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May 29 - June 4 |
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|Looking up NLP conference papers on word segmentation or tokenization, and checking popular Japanese tokenizers such as MeCab as well. |
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|Week 2: |
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June 5 - June 11 |
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|N-gram, Longest-match left-to-right (LRLM), Maximal matching, Viterbi |
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|Week 3: |
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June 12 - June 18 |
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| Week 4: |
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June 19 - June 25 |
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* '''Phase2''' |
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| Week 5: |
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June 26 - July 2 |
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|Analyzing the model and improving it |
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| Week 6: |
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July 3 - July 9 |
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* '''Phase3''' |
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|Mid-term Evaluation |
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| Week 7: |
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July 10 - July 16 |
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| Week 8: |
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July 17 - July 23 |
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| Week 9: |
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July 24 - July 30 |
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| Week 10: |
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July 31 - August 6 |
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| Week 11: |
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August 7 - August 13 |
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| Week 12: |
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August 14 - August 20 |
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} |
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* '''Project completed''' |
* '''Project completed''' |
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Revision as of 10:35, 11 March 2023
Contents
Contact Information
Name:Eiji Miyamoto E-mail address:motopon57@gmail.com University: University of Manchester IRC:thelounge72 github:https://github.com/yypy22
Why is it that you are interested in Apertium?
I am intrigued by natural language processing and its usage. Apertium is open-source and free software for machine translation, so apertium match my interest. The community here is welcoming and supportive too.
Which of the published tasks are you interested in?
Tokenization for spaceless orthographies in Japanese
What do you plan to do?
Investing the suitable tokenizer for east/south Asian languages without space and implementing it.
Reasons why Google and Apertium should sponsor it
Apertium translates European languages into other European languages mainly and my proposal for Google Summer of Code 2023 will open up the possibility for future translation in Asian languages which usually do not have space between words in sentences.
Work plan
- Phase1
- Project completed
| Week 1
May 29 - June 4 |
Investigating word segmentation and tokenization from paper, and summarising useful findings into a report | Looking up NLP conference papers on word segmentation or tokenization, and checking popular Japanese tokenizers such as MeCab as well. |
| Week 2:
June 5 - June 11 |
Testing possible algorithms for tokenization and becoming aware of pros and cons of them | N-gram, Longest-match left-to-right (LRLM), Maximal matching, Viterbi |
| Week 3:
June 12 - June 18 |
Analyzing drawbacks of current tokenization for apertium-iii and apertium-jpn | |
| Week 4:
June 19 - June 25 |
Producing a hybrid model | |
| Week 5:
June 26 - July 2 |
Analyzing the model and improving it | |
| Week 6:
July 3 - July 9 |
Testing the hybrid model | |
| Mid-term Evaluation | ||
| Week 7:
July 10 - July 16 |
Evaluation of the model | |
| Week 8:
July 17 - July 23 |
Converting the model into a faster language | |
| Week 9:
July 24 - July 30 |
Converting the hybrid model into apertium-jpn | |
| Week 10:
July 31 - August 6 |
testing and fixing bugs | |
| Week 11:
August 7 - August 13 |
Continue to test | |
| Week 12:
August 14 - August 20 |
Finalise GSOC project: Writing report and complete tests |
