Machine Translation

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions

Start date

2023-09-25 (day precision)Source: 9/25/2023

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Service Delivery

Operational functions

Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

To better facilitate and automate content translation efforts at the IRS, a cloud-based commercial off-the-shelf (COTS) solution is being leveraged for use by the Linguistic, Policy, Tools and Services (LPTS) Team. The Machine Translation (MT) application is being assessed and evaluated by the primary users, the Linguistic Policy, Tools and Services (LPTS) organization, through integration with their existing processes. The MT application focuses on translation for existing text and labels into Spanish with the ultimate goal of becoming an enterprise solution for a variety of non-English translations.

Expected benefits

Machine translation is used to translate text and file-based content from and to English, Spanish, Chinese (Traditional, Simplified), Korean and Vietnamese used by MAS/LPTS to speed up responses to taxpayers.

System outputs

The MT application focuses on translation for existing text and labels into Spanish and other languages with the ultimate goal of becoming an enterprise solution for a variety of non-English translations.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

Users can provide custom model to override the vendor-generated default translations. Vendor in turn can learn from the custom models that users provide to improve the model.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported