GET https://dev.normadoc.fr/_partial/cart/summary?template=%40SyliusShop%2FCart%2F_widget.html.twig

Response
200 OK
IP
216.73.216.9
Profiled on
Token
5006f0

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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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"
]
Attributes 
[
  "showFullLabel" => "true"
]
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
}
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
  }
]
Attributes 
[]
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
}
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
  }
]
Attributes 
[]
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
}
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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"
]
Attributes 
[
  "showFullLabel" => "true"
]
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
}
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
  }
]
Attributes 
[]
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
      date: 2025-06-27 18:13:46.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608621 {#7322
      date: 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
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1694556000 {#7292
      date: 2023-09-13 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1694988000 {#7318
      date: 2023-09-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: DateTime @1694988000 {#7316
      date: 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 …}
}