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Research & Reports • By Slator On 7 Oct 2022


SLATOR MACHINE TRANSLATION EXPERT-IN-THE-LOOP REPORT



The 60-page Slator Machine Translation Expert-in-the-Loop Report provides a
comprehensive view on the interaction between human experts and AI in
translation production.

The report shows how expert linguists and skilled project managers interact with
machines, allowing AI-enabled language service providers (LSPs) to drive
productivity and succeed in a hyper-competitive marketplace.

In this report, we investigate the different ways that AI and human experts
interact throughout the translation process, including project management,
translation, and vendor selection.



The report first examines the concept of human-machine interaction in
translation, in which human experts and machines work together, taking on
different roles with varying degrees of responsibility.

We examine the latest advances shaping and defining the relationship between
human experts and AI in translation production — how they impact skills,
workflows, processes, and technology. We also provide insights into how to
optimize and harmonize this relationship.


SLATOR MACHINE TRANSLATION EXPERT-IN-THE-LOOP REPORT

60-page report on the interaction between human experts and AI in translation
production, including AI-enabled workflows, adoption rates, postediting, pricing
models.
$585 BUY NOWIncluded in our Pro and Enterprise plan.
Subscribe now!

> Send us an email or connect via chat if you prefer to purchase the report via
> invoice.

Drawing on interviews with representatives from nine LSPs, the report highlights
how expert-in-the-loop translation (aka MT-enabled workflows) has become the
dominant translation method and continues to increase in adoption.

A handy, one-page table outlines the level of adoption of expert-in-the-loop
translation workflows per vertical, provides examples of expert-in-the-loop
translation in action for further reading, and identifies use cases for both
non-MT and pure-MT workflows.



The report describes the technology that is involved in translation production
as well as the role and characteristics of the human expert — typically (but not
always) the post-editor.

The most substantial chapter of the report, Expert-in-the-Loop Translation
Production, examines how AI can be applied to support not only translators
within the translation / postediting task but also project managers (PMs) in
managing expert-in-the-loop translation workflows, selecting vendors, and more.

The same chapter unpacks the different expert-in-the-loop translation methods
and explores the application and potential of tools, such as quality estimation
(QE), automatic postediting, and quality assessment (QA) in expert-in-the-loop
workflows, as well as the suitability of translator interfaces for
expert-in-the-loop translation production.

The final chapter, Expert-in-the-Loop Translation Pricing Models, outlines how
technological advances brought about by MT, cloud computing, and AI-driven
automation have affected and continue to influence industry pricing models.


TABLE OF CONTENTS

Executive Summary4Introduction5Human Expert – Machine Interaction7Understand the
concept of human-machine interaction and how machine translation has
fundamentally transformed human-machine interaction in the translation
workflow.Expert-in-the-Loop Translation: The Dominant Production Method8Find out
the percentage adoption rate of expert-in-the-loop translation across the
language services industry with insights from leading AI agencies. Access a
one-page infographic illustrating adoption levels across 10 key
verticals.Benefits and Challenges of Expert-in-the-Loop Translation13Read up on
the key benefits of expert-in-the-loop translation and see how much leading LSPs
have increased throughput and reduced costs. Gain insight into the main
challenges that LSPs need to overcome — from technology investment and
productivity tool design to translator sentiment.The Machine16Understand how AI
has been injected into language services workflows — from machine translation to
automated production — and discover the major drivers behind AI deployment.The
Human Expert18Home in on the skill set and expertise needed by human experts in
language services. Learn more about postediting training, subject-matter
expertise, competencies and soft skills, as well as how to align job types with
post-editor profiles.Expert-in-the-Loop Project Management24See how project
managers (PMs) interact with AI to optimize the selection of linguists and MT
engines. Find out how AI-driven content analytics inform PM decisions — and how
the role of PMs now encompass AI gatekeeping and strategy.Expert-in-the-Loop
Translation29Compare and contrast linear MT postediting with augmented
translation workflows.Quality Estimation31Get up to speed on how MT quality
estimation (QE) is used to optimize productivity. Delve deeper into a QE case
study and discover more applications for QE in the language industry.Automatic
Postediting34Find out how automatic postediting (APE) can reduce a post-editor’s
workload, and how to mix QE with APE to further accelerate
productivity.AI-driven Quality Assessment36Get a thorough rundown of the many
benefits of combining quality assessment tools with AI.Interactive, Adaptive,
and Context-Aware Machine Translation37Delve into three useful case studies to
see how AI agencies employ interactive, adaptive, and context-aware machine
translation.Translator Interfaces and Multi-Modal Postediting (MMPE)41Get a
glimpse of the future of translator interfaces and multi-modal postediting, and
see how post-editors can benefit from speech technologies.Expert-in-the-Loop
Translation Pricing Models44Find out how per-word and per-hour editing rates are
calculated and how other factors impact pricing. Gain insights on pricing from
industry leaders. Access a one-page pricing model table that lists and explains
eight different pricing models.References49


HOW TO USE THIS REPORT

Slator’s easy-to-digest Machine Translation Expert-in-the-Loop Report offers the
very latest industry and data analysis, providing language service providers and
end clients the confidence to make informed and time critical decisions. It is a
cost-effective, credible resource for busy professionals.

TAGS

AI augmented translation expert-in-the-loop human-in-the-loop machine
translation machine translation quality estimation MTPE PEMT quality estimation

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