Spelling Correction using Phonetics in E-commerce Search Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2022.ecnlp-1.9
In E-commerce search, spelling correction plays an important role to find desired products for customers in processing user-typed search queries. However, resolving phonetic errors is a critical but much overlooked area. The query with phonetic spelling errors tends to appear correct based on pronunciation but is nonetheless inaccurate in spelling (e.g., "bluetooth sound system" vs. "blutut sant sistam") with numerous noisy forms and sparse occurrences. In this work, we propose a generalized spelling correction system integrating phonetics to address phonetic errors in E-commerce search without additional latency cost. Using India (IN) E-commerce market for illustration, the experiment shows that our proposed phonetic solution significantly improves the F1 score by 9%+ and recall of phonetic errors by 8%+. This phonetic spelling correction system has been deployed to production, currently serving hundreds of millions of customers.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2022.ecnlp-1.9
- https://aclanthology.org/2022.ecnlp-1.9.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285202428
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4285202428Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2022.ecnlp-1.9Digital Object Identifier
- Title
-
Spelling Correction using Phonetics in E-commerce SearchWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Fan Yang, Alireza Bagheri Garakani, Yifei Teng, Yan Gao, Jia Liu, Jingyuan Deng, Yi SunList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2022.ecnlp-1.9Publisher landing page
- PDF URL
-
https://aclanthology.org/2022.ecnlp-1.9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2022.ecnlp-1.9.pdfDirect OA link when available
- Concepts
-
Spelling, Computer science, Phonetics, Pronunciation, Speech recognition, Natural language processing, Latency (audio), Artificial intelligence, Linguistics, Telecommunications, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4285202428 |
|---|---|
| doi | https://doi.org/10.18653/v1/2022.ecnlp-1.9 |
| ids.doi | https://doi.org/10.18653/v1/2022.ecnlp-1.9 |
| ids.openalex | https://openalex.org/W4285202428 |
| fwci | 1.13997333 |
| type | article |
| title | Spelling Correction using Phonetics in E-commerce Search |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12016 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9765999913215637 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | Web Data Mining and Analysis |
| topics[1].id | https://openalex.org/T12031 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9722999930381775 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Speech and dialogue systems |
| topics[2].id | https://openalex.org/T10627 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9613999724388123 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Advanced Image and Video Retrieval Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2777801307 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9418244361877441 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2088390 |
| concepts[0].display_name | Spelling |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.8054284453392029 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C137584468 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6626879572868347 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q35395 |
| concepts[2].display_name | Phonetics |
| concepts[3].id | https://openalex.org/C2780844864 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6117491722106934 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q184377 |
| concepts[3].display_name | Pronunciation |
| concepts[4].id | https://openalex.org/C28490314 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5792165398597717 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q189436 |
| concepts[4].display_name | Speech recognition |
| concepts[5].id | https://openalex.org/C204321447 |
| concepts[5].level | 1 |
| concepts[5].score | 0.44272637367248535 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[5].display_name | Natural language processing |
| concepts[6].id | https://openalex.org/C82876162 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4255439341068268 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q17096504 |
| concepts[6].display_name | Latency (audio) |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.41778382658958435 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C41895202 |
| concepts[8].level | 1 |
| concepts[8].score | 0.1869286298751831 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[8].display_name | Linguistics |
| concepts[9].id | https://openalex.org/C76155785 |
| concepts[9].level | 1 |
| concepts[9].score | 0.06559234857559204 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[9].display_name | Telecommunications |
| concepts[10].id | https://openalex.org/C138885662 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[10].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/spelling |
| keywords[0].score | 0.9418244361877441 |
| keywords[0].display_name | Spelling |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.8054284453392029 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/phonetics |
| keywords[2].score | 0.6626879572868347 |
| keywords[2].display_name | Phonetics |
| keywords[3].id | https://openalex.org/keywords/pronunciation |
| keywords[3].score | 0.6117491722106934 |
| keywords[3].display_name | Pronunciation |
| keywords[4].id | https://openalex.org/keywords/speech-recognition |
| keywords[4].score | 0.5792165398597717 |
| keywords[4].display_name | Speech recognition |
| keywords[5].id | https://openalex.org/keywords/natural-language-processing |
| keywords[5].score | 0.44272637367248535 |
| keywords[5].display_name | Natural language processing |
| keywords[6].id | https://openalex.org/keywords/latency |
| keywords[6].score | 0.4255439341068268 |
| keywords[6].display_name | Latency (audio) |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.41778382658958435 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/linguistics |
| keywords[8].score | 0.1869286298751831 |
| keywords[8].display_name | Linguistics |
| keywords[9].id | https://openalex.org/keywords/telecommunications |
| keywords[9].score | 0.06559234857559204 |
| keywords[9].display_name | Telecommunications |
| language | en |
| locations[0].id | doi:10.18653/v1/2022.ecnlp-1.9 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aclanthology.org/2022.ecnlp-1.9.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5) |
| locations[0].landing_page_url | https://doi.org/10.18653/v1/2022.ecnlp-1.9 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5102014086 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-0940-4218 |
| authorships[0].author.display_name | Fan Yang |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[0].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[0].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[0].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Amazon (United States) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Fan Yang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[1].author.id | https://openalex.org/A5012371482 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Alireza Bagheri Garakani |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[1].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[1].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[1].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Amazon (United States) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alireza Bagheri Garakani |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[2].author.id | https://openalex.org/A5037745476 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5321-3243 |
| authorships[2].author.display_name | Yifei Teng |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[2].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[2].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[2].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Amazon (United States) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yifei Teng |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[3].author.id | https://openalex.org/A5100462446 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5890-9717 |
| authorships[3].author.display_name | Yan Gao |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[3].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[3].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[3].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Amazon (United States) |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Yan Gao |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[4].author.id | https://openalex.org/A5100409661 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-8844-3233 |
| authorships[4].author.display_name | Jia Liu |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[4].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[4].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[4].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Amazon (United States) |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jia Liu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[5].author.id | https://openalex.org/A5103223538 |
| authorships[5].author.orcid | https://orcid.org/0009-0000-1225-8947 |
| authorships[5].author.display_name | Jingyuan Deng |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[5].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[5].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[5].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[5].institutions[0].type | company |
| authorships[5].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Amazon (United States) |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jingyuan Deng |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| authorships[6].author.id | https://openalex.org/A5100411571 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-7636-0200 |
| authorships[6].author.display_name | Yi Sun |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I1311688040 |
| authorships[6].affiliations[0].raw_affiliation_string | Amazon Seattle, Washington, USA |
| authorships[6].institutions[0].id | https://openalex.org/I1311688040 |
| authorships[6].institutions[0].ror | https://ror.org/04mv4n011 |
| authorships[6].institutions[0].type | company |
| authorships[6].institutions[0].lineage | https://openalex.org/I1311688040 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Amazon (United States) |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Yi Sun |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Amazon Seattle, Washington, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aclanthology.org/2022.ecnlp-1.9.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Spelling Correction using Phonetics in E-commerce Search |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12016 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9765999913215637 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | Web Data Mining and Analysis |
| related_works | https://openalex.org/W2161008081, https://openalex.org/W2100947578, https://openalex.org/W1555832326, https://openalex.org/W4298186509, https://openalex.org/W2556702969, https://openalex.org/W217221262, https://openalex.org/W611030372, https://openalex.org/W1974418053, https://openalex.org/W2021532426, https://openalex.org/W2381961785 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.18653/v1/2022.ecnlp-1.9 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aclanthology.org/2022.ecnlp-1.9.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5) |
| best_oa_location.landing_page_url | https://doi.org/10.18653/v1/2022.ecnlp-1.9 |
| primary_location.id | doi:10.18653/v1/2022.ecnlp-1.9 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aclanthology.org/2022.ecnlp-1.9.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5) |
| primary_location.landing_page_url | https://doi.org/10.18653/v1/2022.ecnlp-1.9 |
| publication_date | 2022-01-01 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2010595692, https://openalex.org/W3098360431, https://openalex.org/W2018616927, https://openalex.org/W3103161287, https://openalex.org/W3093050310, https://openalex.org/W2057900969, https://openalex.org/W4254238137, https://openalex.org/W2066792529, https://openalex.org/W2016871293, https://openalex.org/W2295598076, https://openalex.org/W2151504427, https://openalex.org/W2999282340, https://openalex.org/W2135739396, https://openalex.org/W3037198786 |
| referenced_works_count | 14 |
| abstract_inverted_index.a | 25, 70 |
| abstract_inverted_index.F1 | 106 |
| abstract_inverted_index.In | 0, 65 |
| abstract_inverted_index.an | 6 |
| abstract_inverted_index.by | 108, 115 |
| abstract_inverted_index.in | 15, 48, 81 |
| abstract_inverted_index.is | 24, 45 |
| abstract_inverted_index.of | 112, 130, 132 |
| abstract_inverted_index.on | 42 |
| abstract_inverted_index.to | 9, 38, 77, 125 |
| abstract_inverted_index.we | 68 |
| abstract_inverted_index.9%+ | 109 |
| abstract_inverted_index.The | 31 |
| abstract_inverted_index.and | 62, 110 |
| abstract_inverted_index.but | 27, 44 |
| abstract_inverted_index.for | 13, 93 |
| abstract_inverted_index.has | 122 |
| abstract_inverted_index.our | 99 |
| abstract_inverted_index.the | 95, 105 |
| abstract_inverted_index.vs. | 54 |
| abstract_inverted_index.(IN) | 90 |
| abstract_inverted_index.8%+. | 116 |
| abstract_inverted_index.This | 117 |
| abstract_inverted_index.been | 123 |
| abstract_inverted_index.find | 10 |
| abstract_inverted_index.much | 28 |
| abstract_inverted_index.role | 8 |
| abstract_inverted_index.sant | 56 |
| abstract_inverted_index.that | 98 |
| abstract_inverted_index.this | 66 |
| abstract_inverted_index.with | 33, 58 |
| abstract_inverted_index.India | 89 |
| abstract_inverted_index.Using | 88 |
| abstract_inverted_index.area. | 30 |
| abstract_inverted_index.based | 41 |
| abstract_inverted_index.cost. | 87 |
| abstract_inverted_index.forms | 61 |
| abstract_inverted_index.noisy | 60 |
| abstract_inverted_index.plays | 5 |
| abstract_inverted_index.query | 32 |
| abstract_inverted_index.score | 107 |
| abstract_inverted_index.shows | 97 |
| abstract_inverted_index.sound | 52 |
| abstract_inverted_index.tends | 37 |
| abstract_inverted_index.work, | 67 |
| abstract_inverted_index.(e.g., | 50 |
| abstract_inverted_index.appear | 39 |
| abstract_inverted_index.errors | 23, 36, 80, 114 |
| abstract_inverted_index.market | 92 |
| abstract_inverted_index.recall | 111 |
| abstract_inverted_index.search | 18, 83 |
| abstract_inverted_index.sparse | 63 |
| abstract_inverted_index.system | 74, 121 |
| abstract_inverted_index."blutut | 55 |
| abstract_inverted_index.address | 78 |
| abstract_inverted_index.correct | 40 |
| abstract_inverted_index.desired | 11 |
| abstract_inverted_index.latency | 86 |
| abstract_inverted_index.propose | 69 |
| abstract_inverted_index.search, | 2 |
| abstract_inverted_index.serving | 128 |
| abstract_inverted_index.system" | 53 |
| abstract_inverted_index.without | 84 |
| abstract_inverted_index.However, | 20 |
| abstract_inverted_index.critical | 26 |
| abstract_inverted_index.deployed | 124 |
| abstract_inverted_index.hundreds | 129 |
| abstract_inverted_index.improves | 104 |
| abstract_inverted_index.millions | 131 |
| abstract_inverted_index.numerous | 59 |
| abstract_inverted_index.phonetic | 22, 34, 79, 101, 113, 118 |
| abstract_inverted_index.products | 12 |
| abstract_inverted_index.proposed | 100 |
| abstract_inverted_index.queries. | 19 |
| abstract_inverted_index.sistam") | 57 |
| abstract_inverted_index.solution | 102 |
| abstract_inverted_index.spelling | 3, 35, 49, 72, 119 |
| abstract_inverted_index.currently | 127 |
| abstract_inverted_index.customers | 14 |
| abstract_inverted_index.important | 7 |
| abstract_inverted_index.phonetics | 76 |
| abstract_inverted_index.resolving | 21 |
| abstract_inverted_index."bluetooth | 51 |
| abstract_inverted_index.E-commerce | 1, 82, 91 |
| abstract_inverted_index.additional | 85 |
| abstract_inverted_index.correction | 4, 73, 120 |
| abstract_inverted_index.customers. | 133 |
| abstract_inverted_index.experiment | 96 |
| abstract_inverted_index.inaccurate | 47 |
| abstract_inverted_index.overlooked | 29 |
| abstract_inverted_index.processing | 16 |
| abstract_inverted_index.user-typed | 17 |
| abstract_inverted_index.generalized | 71 |
| abstract_inverted_index.integrating | 75 |
| abstract_inverted_index.nonetheless | 46 |
| abstract_inverted_index.production, | 126 |
| abstract_inverted_index.occurrences. | 64 |
| abstract_inverted_index.illustration, | 94 |
| abstract_inverted_index.pronunciation | 43 |
| abstract_inverted_index.significantly | 103 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.79477283 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |