All posts by Microsoft Translator

Microsoft Translator is now certified compliant to meet your needs

Microsoft Translator is happy to announce that it is now certified for ISO, HIPAA, and SOC compliance. This comes as a result of Azure’s commitment to privacy and security.

Last year, Translator announced that it was GDPR compliant as a data processor. Now, Microsoft Translator is ISO, HIPAA, and SOC compliant, in addition to receiving CSA and FedRAMP public cloud attestation.

ISO: Microsoft Translator is ISO certified with five certifications applicable to the service. The International Organization for Standardization (ISO) is an independent nongovernmental organization and the world’s largest developer of voluntary international standards. Translator’s ISO certifications demonstrate its commitment to providing a consistent and secure service. Microsoft Translator’s ISO certifications are:

  • ISO 27001 Information Security Management Standards
  • ISO 9001:2015 Quality Management Systems Standards
  • 27018:2014 Code of Practice for Protecting Personal Data in the Cloud
  • 20000-1:2011: Information Technology Service Management
  • ISO 27017:2015: Code of Practice for Information Security Controls

HIPAA: The Microsoft Translator service complies with the US Health Insurance Portability and Accountability Act (HIPAA) Health Information Technology for Economic and the Clinical Health (HITECH) Act, which govern how cloud services can handle personal health information. This ensures that the health services can provide translations to clients knowing that personal data is kept private. Microsoft Translator is included in Microsoft’s HIPAA Business Associate Agreement (BAA). Health care organizations can enter into the BAA with Microsoft to detail each party’s role in regard to security and privacy provisions under HIPAA and HITECH.

Learn more about HIPAA compliance

 

SOC: The American Institute of Certified Public Accountants (AICPA) developed the Service Organization Controls (SOC) framework, a standard for controls that safeguard the confidentiality and privacy of information stored and processed in the cloud, primarily in regard to financial statements. Microsoft Translator is now SOC type 1, 2, and 3 compliant.

Learn more about SOC Compliance

 

CSA STAR: The Cloud Security Alliance (CSA) defines best practices to help ensure a more secure cloud computing environment, and to helping potential cloud customers make informed decisions when transitioning their IT operations to the cloud. The CSA published a suite of tools to assess cloud IT operations: the CSA Governance, Risk Management, and Compliance (GRC) Stack. It was designed to help cloud customers assess how cloud service providers follow industry best practices and standards, and comply with regulations. Microsoft Translator has received CSA STAR Attestation.

Learn more about CSA STAR

 

FedRAMP: The US Federal Risk and Authorization Management Program (FedRAMP) attests that Microsoft Translator adheres to the security requirements needed for use by US government agencies in the public Azure cloud. The US Office of Management and Budget requires all executive federal agencies to use FedRAMP to validate the security of cloud services. FedRAMP attestation for Microsoft Translator in the dedicated Azure Government cloud is forthcoming.

Learn more about FedRAMP

The Microsoft Translator service is subject to annual audits on all of its certifications to ensure the service continues to be compliant. View more information about Microsoft’s commitment to compliance in the Microsoft Trust Center

Go to Original Article
Author: Steve Clarke

Microsoft Translator is now certified compliant to meet your needs

Microsoft Translator is happy to announce that it is now certified for ISO, HIPAA, and SOC compliance. This comes as a result of Azure’s commitment to privacy and security.

Last year, Translator announced that it was GDPR compliant as a data processor. Now, Microsoft Translator is ISO, HIPAA, and SOC compliant, in addition to receiving CSA and FedRAMP public cloud attestation.

ISO: Microsoft Translator is ISO certified with five certifications applicable to the service. The International Organization for Standardization (ISO) is an independent nongovernmental organization and the world’s largest developer of voluntary international standards. Translator’s ISO certifications demonstrate its commitment to providing a consistent and secure service. Microsoft Translator’s ISO certifications are:

  • ISO 27001 Information Security Management Standards
  • ISO 9001:2015 Quality Management Systems Standards
  • 27018:2014 Code of Practice for Protecting Personal Data in the Cloud
  • 20000-1:2011: Information Technology Service Management
  • ISO 27017:2015: Code of Practice for Information Security Controls

HIPAA: The Microsoft Translator service complies with the US Health Insurance Portability and Accountability Act (HIPAA) Health Information Technology for Economic and the Clinical Health (HITECH) Act, which govern how cloud services can handle personal health information. This ensures that the health services can provide translations to clients knowing that personal data is kept private. Microsoft Translator is included in Microsoft’s HIPAA Business Associate Agreement (BAA). Health care organizations can enter into the BAA with Microsoft to detail each party’s role in regard to security and privacy provisions under HIPAA and HITECH.

Learn more about HIPAA compliance

 

SOC: The American Institute of Certified Public Accountants (AICPA) developed the Service Organization Controls (SOC) framework, a standard for controls that safeguard the confidentiality and privacy of information stored and processed in the cloud, primarily in regard to financial statements. Microsoft Translator is now SOC type 1, 2, and 3 compliant.

Learn more about SOC Compliance

 

CSA STAR: The Cloud Security Alliance (CSA) defines best practices to help ensure a more secure cloud computing environment, and to helping potential cloud customers make informed decisions when transitioning their IT operations to the cloud. The CSA published a suite of tools to assess cloud IT operations: the CSA Governance, Risk Management, and Compliance (GRC) Stack. It was designed to help cloud customers assess how cloud service providers follow industry best practices and standards, and comply with regulations. Microsoft Translator has received CSA STAR Attestation.

Learn more about CSA STAR

 

FedRAMP: The US Federal Risk and Authorization Management Program (FedRAMP) attests that Microsoft Translator adheres to the security requirements needed for use by US government agencies in the public Azure cloud. The US Office of Management and Budget requires all executive federal agencies to use FedRAMP to validate the security of cloud services. FedRAMP attestation for Microsoft Translator in the dedicated Azure Government cloud is forthcoming.

Learn more about FedRAMP

The Microsoft Translator service is subject to annual audits on all of its certifications to ensure the service continues to be compliant. View more information about Microsoft’s commitment to compliance in the Microsoft Trust Center

Go to Original Article
Author: Steve Clarke

Microsoft Translator is now certified compliant to meet your needs

Microsoft Translator is happy to announce that it is now certified for ISO, HIPAA, and SOC compliance. This comes as a result of Azure’s commitment to privacy and security.

Last year, Translator announced that it was GDPR compliant as a data processor. Now, Microsoft Translator is ISO, HIPAA, and SOC compliant, in addition to receiving CSA and FedRAMP public cloud attestation.

ISO: Microsoft Translator is ISO certified with five certifications applicable to the service. The International Organization for Standardization (ISO) is an independent nongovernmental organization and the world’s largest developer of voluntary international standards. Translator’s ISO certifications demonstrate its commitment to providing a consistent and secure service. Microsoft Translator’s ISO certifications are:

  • ISO 27001 Information Security Management Standards
  • ISO 9001:2015 Quality Management Systems Standards
  • 27018:2014 Code of Practice for Protecting Personal Data in the Cloud
  • 20000-1:2011: Information Technology Service Management
  • ISO 27017:2015: Code of Practice for Information Security Controls

HIPAA: The Microsoft Translator service complies with the US Health Insurance Portability and Accountability Act (HIPAA) Health Information Technology for Economic and the Clinical Health (HITECH) Act, which govern how cloud services can handle personal health information. This ensures that the health services can provide translations to clients knowing that personal data is kept private. Microsoft Translator is included in Microsoft’s HIPAA Business Associate Agreement (BAA). Health care organizations can enter into the BAA with Microsoft to detail each party’s role in regard to security and privacy provisions under HIPAA and HITECH.

Learn more about HIPAA compliance

 

SOC: The American Institute of Certified Public Accountants (AICPA) developed the Service Organization Controls (SOC) framework, a standard for controls that safeguard the confidentiality and privacy of information stored and processed in the cloud, primarily in regard to financial statements. Microsoft Translator is now SOC type 1, 2, and 3 compliant.

Learn more about SOC Compliance

 

CSA STAR: The Cloud Security Alliance (CSA) defines best practices to help ensure a more secure cloud computing environment, and to helping potential cloud customers make informed decisions when transitioning their IT operations to the cloud. The CSA published a suite of tools to assess cloud IT operations: the CSA Governance, Risk Management, and Compliance (GRC) Stack. It was designed to help cloud customers assess how cloud service providers follow industry best practices and standards, and comply with regulations. Microsoft Translator has received CSA STAR Attestation.

Learn more about CSA STAR

 

FedRAMP: The US Federal Risk and Authorization Management Program (FedRAMP) attests that Microsoft Translator adheres to the security requirements needed for use by US government agencies in the public Azure cloud. The US Office of Management and Budget requires all executive federal agencies to use FedRAMP to validate the security of cloud services. FedRAMP attestation for Microsoft Translator in the dedicated Azure Government cloud is forthcoming.

Learn more about FedRAMP

The Microsoft Translator service is subject to annual audits on all of its certifications to ensure the service continues to be compliant. View more information about Microsoft’s commitment to compliance in the Microsoft Trust Center

Go to Original Article
Author: Steve Clarke

Microsoft Translator is now certified compliant to meet your needs

Microsoft Translator is happy to announce that it is now certified for ISO, HIPAA, and SOC compliance. This comes as a result of Azure’s commitment to privacy and security.

Last year, Translator announced that it was GDPR compliant as a data processor. Now, Microsoft Translator is ISO, HIPAA, and SOC compliant, in addition to receiving CSA and FedRAMP public cloud attestation.

ISO: Microsoft Translator is ISO certified with five certifications applicable to the service. The International Organization for Standardization (ISO) is an independent nongovernmental organization and the world’s largest developer of voluntary international standards. Translator’s ISO certifications demonstrate its commitment to providing a consistent and secure service. Microsoft Translator’s ISO certifications are:

  • ISO 27001 Information Security Management Standards
  • ISO 9001:2015 Quality Management Systems Standards
  • 27018:2014 Code of Practice for Protecting Personal Data in the Cloud
  • 20000-1:2011: Information Technology Service Management
  • ISO 27017:2015: Code of Practice for Information Security Controls

HIPAA: The Microsoft Translator service complies with the US Health Insurance Portability and Accountability Act (HIPAA) Health Information Technology for Economic and the Clinical Health (HITECH) Act, which govern how cloud services can handle personal health information. This ensures that the health services can provide translations to clients knowing that personal data is kept private. Microsoft Translator is included in Microsoft’s HIPAA Business Associate Agreement (BAA). Health care organizations can enter into the BAA with Microsoft to detail each party’s role in regard to security and privacy provisions under HIPAA and HITECH.

Learn more about HIPAA compliance

 

SOC: The American Institute of Certified Public Accountants (AICPA) developed the Service Organization Controls (SOC) framework, a standard for controls that safeguard the confidentiality and privacy of information stored and processed in the cloud, primarily in regard to financial statements. Microsoft Translator is now SOC type 1, 2, and 3 compliant.

Learn more about SOC Compliance

 

CSA STAR: The Cloud Security Alliance (CSA) defines best practices to help ensure a more secure cloud computing environment, and to helping potential cloud customers make informed decisions when transitioning their IT operations to the cloud. The CSA published a suite of tools to assess cloud IT operations: the CSA Governance, Risk Management, and Compliance (GRC) Stack. It was designed to help cloud customers assess how cloud service providers follow industry best practices and standards, and comply with regulations. Microsoft Translator has received CSA STAR Attestation.

Learn more about CSA STAR

 

FedRAMP: The US Federal Risk and Authorization Management Program (FedRAMP) attests that Microsoft Translator adheres to the security requirements needed for use by US government agencies in the public Azure cloud. The US Office of Management and Budget requires all executive federal agencies to use FedRAMP to validate the security of cloud services. FedRAMP attestation for Microsoft Translator in the dedicated Azure Government cloud is forthcoming.

Learn more about FedRAMP

The Microsoft Translator service is subject to annual audits on all of its certifications to ensure the service continues to be compliant. View more information about Microsoft’s commitment to compliance in the Microsoft Trust Center

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke