Components
3
Twig Components
5
Render Count
5
ms
Render Time
92.0
MiB
Memory Usage
Components
| Name | Metadata | Render Count | Render Time |
|---|---|---|---|
| ProductState |
"App\Twig\Components\ProductState"components/ProductState.html.twig |
2 | 2.49ms |
| ProductMostRecent |
"App\Twig\Components\ProductMostRecent"components/ProductMostRecent.html.twig |
2 | 2.19ms |
| ProductType |
"App\Twig\Components\ProductType"components/ProductType.html.twig |
1 | 0.63ms |
Render calls
| ProductState | App\Twig\Components\ProductState | 92.0 MiB | 2.28 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } "showFullLabel" => "true" ] |
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| Attributes | [ "showFullLabel" => "true" ] |
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| Component | App\Twig\Components\ProductState {#92887 +product: App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } +appearance: "state-active" +labels: [ "Active" ] -stateAttributeCode: "state" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductType | App\Twig\Components\ProductType | 92.0 MiB | 0.63 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } ] |
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| Attributes | [] |
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| Component | App\Twig\Components\ProductType {#93058 +product: App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } +label: "Standard" -typeAttributeCode: "type" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductMostRecent | App\Twig\Components\ProductMostRecent | 92.0 MiB | 1.41 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } ] |
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| Attributes | [] |
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| Component | App\Twig\Components\ProductMostRecent {#93133 +product: App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } +label: "Most Recent" +icon: "check-xs" -mostRecentAttributeCode: "most_recent" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductState | App\Twig\Components\ProductState | 92.0 MiB | 0.21 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } "showFullLabel" => "true" ] |
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| Attributes | [ "showFullLabel" => "true" ] |
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| Component | App\Twig\Components\ProductState {#100072 +product: App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } +appearance: "state-active" +labels: [ "Active" ] -stateAttributeCode: "state" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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| ProductMostRecent | App\Twig\Components\ProductMostRecent | 92.0 MiB | 0.78 ms | |
|---|---|---|---|---|
| Input props | [ "product" => App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } ] |
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| Component | App\Twig\Components\ProductMostRecent {#100156 +product: App\Entity\Product\Product {#7311 #id: 13045 #code: "IEEE00011354" #attributes: Doctrine\ORM\PersistentCollection {#7701 …} #variants: Doctrine\ORM\PersistentCollection {#7744 …} #options: Doctrine\ORM\PersistentCollection {#7916 …} #associations: Doctrine\ORM\PersistentCollection {#7900 …} #createdAt: DateTime @1751040826 {#7274 : 2025-06-27 18:13:46.0 Europe/Paris (+02:00) } #updatedAt: DateTime @1754608621 {#7322 : 2025-08-08 01:17:01.0 Europe/Paris (+02:00) } #enabled: true #translations: Doctrine\ORM\PersistentCollection {#7922 …} #translationsCache: [ "en_US" => App\Entity\Product\ProductTranslation {#7921 #locale: "en_US" #translatable: App\Entity\Product\Product {#7311} #id: 47189 #name: "IEEE White Paper : 04 TextProcessing:2023" #slug: "ieee-white-paper-04-textprocessing-2023-ieee00011354-244704" #description: """ - Active.<br />\n A lot of research has been done on different NLP tasks and standards both internationally and in Indian languages (ILs). Much software has been built around these tasks and widely used in products. However, often different research and product groups have created different standards to address the problem. This often causes issues in sharing of data, information representation, etc. In this report, the authors investigate the NLP text processing tasks for which standardization is required and subsequently explore the different standards available either in ILs or internationally. They categorize the tasks primarily based on their input/output for this study. Furthermore, they also conduct few case studies based on downstream applications.<br />\n \t\t\t\t """ #metaKeywords: null #metaDescription: null #shortDescription: "Indian Language Resources--Text Processing Subcommittee Report" -notes: "Active" } ] #currentLocale: "en_US" #currentTranslation: null #fallbackLocale: "en_US" #variantSelectionMethod: "match" #productTaxons: Doctrine\ORM\PersistentCollection {#7534 …} #channels: Doctrine\ORM\PersistentCollection {#7628 …} #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7309 …} #reviews: Doctrine\ORM\PersistentCollection {#7613 …} #averageRating: 0.0 #images: Doctrine\ORM\PersistentCollection {#7645 …} -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7324 …} -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7321 …} -apiLastModifiedAt: DateTime @1754517600 {#7317 : 2025-08-07 00:00:00.0 Europe/Paris (+02:00) } -lastUpdatedAt: DateTime @1694556000 {#7292 : 2023-09-13 00:00:00.0 Europe/Paris (+02:00) } -author: "" -publishedAt: DateTime @1694988000 {#7318 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -releasedAt: null -confirmedAt: null -canceledAt: DateTime @1694988000 {#7316 : 2023-09-18 00:00:00.0 Europe/Paris (+02:00) } -edition: null -coreDocument: "IEEE White Paper : 04 TextProcessing" -bookCollection: "" -pageCount: 41 -documents: Doctrine\ORM\PersistentCollection {#7465 …} -favorites: Doctrine\ORM\PersistentCollection {#7500 …} } +label: "Most Recent" +icon: "check-xs" -mostRecentAttributeCode: "most_recent" -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …} } |
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