Improving fast_align by Reordering Article Swipe
Chenchen Ding
,
Masao Utiyama
,
Eiichiro Sumita
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.18653/v1/d15-1119
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.18653/v1/d15-1119
fast align is a simple, fast, and efficient approach for word alignment based on the IBM model 2. fast align performs well for language pairs with relatively similar word orders; however, it does not perform well for language pairs with drastically different word orders.We propose a segmenting-reversing reordering process to solve this problem by alternately applying fast align and reordering source sentences during training.Experimental results with Japanese-English translation demonstrate that the proposed approach improves the performance of fast align significantly without the loss of efficiency.Experiments using other languages are also reported.
Related Topics
Concepts
Computer science
Word (group theory)
IBM
Simple (philosophy)
Process (computing)
Translation (biology)
Artificial intelligence
Parallel computing
Natural language processing
Speech recognition
Machine translation
Algorithm
Programming language
Linguistics
Gene
Messenger RNA
Materials science
Chemistry
Philosophy
Epistemology
Biochemistry
Nanotechnology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/d15-1119
- https://www.aclweb.org/anthology/D15-1119.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2251606747
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2251606747Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18653/v1/d15-1119Digital Object Identifier
- Title
-
Improving fast_align by ReorderingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2015Year of publication
- Publication date
-
2015-01-01Full publication date if available
- Authors
-
Chenchen Ding, Masao Utiyama, Eiichiro SumitaList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/d15-1119Publisher landing page
- PDF URL
-
https://www.aclweb.org/anthology/D15-1119.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.aclweb.org/anthology/D15-1119.pdfDirect OA link when available
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Computer science, Word (group theory), IBM, Simple (philosophy), Process (computing), Translation (biology), Artificial intelligence, Parallel computing, Natural language processing, Speech recognition, Machine translation, Algorithm, Programming language, Linguistics, Gene, Messenger RNA, Materials science, Chemistry, Philosophy, Epistemology, Biochemistry, NanotechnologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2020: 1, 2019: 1, 2017: 1, 2016: 2, 2015: 1Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.improves | 73 |
| abstract_inverted_index.language | 23, 37 |
| abstract_inverted_index.performs | 20 |
| abstract_inverted_index.proposed | 71 |
| abstract_inverted_index.alignment | 11 |
| abstract_inverted_index.different | 41 |
| abstract_inverted_index.efficient | 7 |
| abstract_inverted_index.languages | 87 |
| abstract_inverted_index.orders.We | 43 |
| abstract_inverted_index.reported. | 90 |
| abstract_inverted_index.sentences | 61 |
| abstract_inverted_index.relatively | 26 |
| abstract_inverted_index.reordering | 47, 59 |
| abstract_inverted_index.alternately | 54 |
| abstract_inverted_index.demonstrate | 68 |
| abstract_inverted_index.drastically | 40 |
| abstract_inverted_index.performance | 75 |
| abstract_inverted_index.translation | 67 |
| abstract_inverted_index.significantly | 79 |
| abstract_inverted_index.Japanese-English | 66 |
| abstract_inverted_index.segmenting-reversing | 46 |
| abstract_inverted_index.training.Experimental | 63 |
| abstract_inverted_index.efficiency.Experiments | 84 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.90459627 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |