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[LTA MUSIC]

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LiveTextAccess: Training for
real-time intralingual subtitlers.

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This is unit 3, IT competence.

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In this presentation, we will
be dealing with Element 2: Output tools.

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In this presentation, we will be dealing
with the various language tools

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used by real-time
intralingual subtitlers.

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The materials for this presentation
have been created by Sub-Ti Access,

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an accessibility
service provider from Italy.

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My name is Enrico Pigliacampo,

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I am an Italian man
with a beard and short hair.

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I will be displayed in a box at
the top right-hand corner of each slide.

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The learning outcome
for this lecture

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is that the trainee can explain
the differences, advantages

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and disadvantages
of the various language tools,

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machine translation
and crowdsourcing tools

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available on the market
for real-time subtitles.

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In this lecture we will
talk about language tools

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which are not created
specifically for subtitling,

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but are helpful
also to real-time subtitlers.

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In the first part
of the presentation,

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we will define what we mean
by language tools,

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machine translation
and crowdsourcing.

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Then we will see
the results of a survey

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carried out to understand how much
real-time subtitlers use these tools

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and which one they use.

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Language tools help translators,
editors, writers and subtitlers

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in their jobs,

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such as dictionaries,
search engines and corpora.

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According to Hutchins and Somers,
machine translation is

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a “computerised system

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"responsible for
the production of translations

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"from one natural language
into another,

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with or without human assistance.”

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The Directorate-General for Translation
(DGT) of the European Commission

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defines crowdsourcing tools
as tools developed by the public,

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not by a professional
or group of professionals.

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Examples of these tools
are Wikipedia, Wordreference,

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Duolinguo and Citzalia.

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We have carried out a survey

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to gather data on the tools
used by real-time subtitlers.

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We have asked professionals
which output tools they use.

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You can read
the details of the survey

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in the lectures of
Learning Outcome 1 and 2 of Element 2

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and in the document “Results
of the LTA survey on output tools”.

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In this presentation we will focus
on the last question of the survey:

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"Do you use other language tools,

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machine translation
and crowdsourcing tools?"

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The vast majority of answers
is no, 85%.

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Only 15% of the subtitlers
who answered use such tools.

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In the survey we asked
people who answered yes

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to tell us which tools they use.

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We will talk
about these tools in this section.

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You can find
a complete list of all the answers

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in “Results of the LTA survey
on output tools”.

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Machine translation is one
of the most used language tools.

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Some subtitling
software programmes

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offer machine translation options
in different languages,

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for example Text on Top,
AVA and Jetstream.

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Machine translation is very useful
in international events

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because it enables you

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to have real-time subtitles
in different languages.

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However, please remember that
machine translation quality varies

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depending on the specific software,

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the languages
and translation directions involved

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and the topic of the speech.

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End users should be warned
that quality may not be adequate.

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Search engines are useful
in real-time subtitling

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to check the spelling of words,
names and so on.

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There are software programmes
that enable users

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to go online
and search what they need,

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such as FAB Subtitlers, WinCaps
and the PerVoice Subtitling Workstation.

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Always remember to check your Internet
connection, essential to go online,

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before you start working.

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Machine translation
and search engines

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are the tools
which are most frequently used

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by the real-time subtitlers
who answered our survey.

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Only one other tool
has been mentioned: AutoHotkey.

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This software programme
makes it possible

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to create hot keys, shortcuts
and macros to write faster.

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We have talked about these topics
in the Element 1 section of this unit.

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Summary.

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According to our survey,

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language tools, machine translation
and crowdsourcing tools

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are not used by many subtitlers.

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The implementation
of such tools in your job

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can be useful
to enhance your services

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and improve
the quality of the subtitles.

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Exercises.

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Visit the webpages mentioned in “Results
of the LTA survey on output tools”

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and identify which software
programmes offer options

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for machine translation,
online searches

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and other tools
mentioned in this presentation.

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[LTA MUSIC]

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LTA, Live Text Access.

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Universitat Autònoma de Barcelona.

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SDI, Internationale Hochschule.

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Scuola Superiore
per Mediatori Linguistici.

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ZDF Digital.

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European Federation
of Hard of Hearing People, EFHOH.

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Velotype.

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Sub-Ti Access.

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European Certification and Qualification
Association, ECQA.

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Co-funded by the Erasmus+ Programme
of the European Union.

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Erasmus+ Project:

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2018-1-DE01-KA203-004218

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The information and views
set on this presentation

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are those of the authors

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and do not necessarily reflect
the official opinion

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of the European Union.

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Neither the European Union
Institutions and bodies

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nor any person
acting on their behalf

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may be held responsible
for the use

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which may be made
of the information contained here.