[LTA MUSIC]
LiveTextAccess: Training for real-time intralingual subtitlers.
This is unit 3, IT competence.
In this presentation, we will be dealing with Element 2: Output tools.
In this presentation, we will be dealing with the various language tools
used by real-time intralingual subtitlers.
The materials for this presentation have been created by Sub-Ti Access,
an accessibility service provider from Italy.
My name is Enrico Pigliacampo,
I am an Italian man with a beard and short hair.
I will be displayed in a box at the top right-hand corner of each slide.
The learning outcome for this lecture
is that the trainee can explain the differences, advantages
and disadvantages of the various language tools,
machine translation and crowdsourcing tools
available on the market for real-time subtitles.
In this lecture we will talk about language tools
which are not created specifically for subtitling,
but are helpful also to real-time subtitlers.
In the first part of the presentation,
we will define what we mean by language tools,
machine translation and crowdsourcing.
Then we will see the results of a survey
carried out to understand how much real-time subtitlers use these tools
and which one they use.
Language tools help translators, editors, writers and subtitlers
in their jobs,
such as dictionaries, search engines and corpora.
According to Hutchins and Somers, machine translation is
a “computerised system
"responsible for the production of translations
"from one natural language into another,
with or without human assistance.”
The Directorate-General for Translation (DGT) of the European Commission
defines crowdsourcing tools as tools developed by the public,
not by a professional or group of professionals.
Examples of these tools are Wikipedia, Wordreference,
Duolinguo and Citzalia.
We have carried out a survey
to gather data on the tools used by real-time subtitlers.
We have asked professionals which output tools they use.
You can read the details of the survey
in the lectures of Learning Outcome 1 and 2 of Element 2
and in the document “Results of the LTA survey on output tools”.
In this presentation we will focus on the last question of the survey:
"Do you use other language tools,
machine translation and crowdsourcing tools?"
The vast majority of answers is no, 85%.
Only 15% of the subtitlers who answered use such tools.
In the survey we asked people who answered yes
to tell us which tools they use.
We will talk about these tools in this section.
You can find a complete list of all the answers
in “Results of the LTA survey on output tools”.
Machine translation is one of the most used language tools.
Some subtitling software programmes
offer machine translation options in different languages,
for example Text on Top, AVA and Jetstream.
Machine translation is very useful in international events
because it enables you
to have real-time subtitles in different languages.
However, please remember that machine translation quality varies
depending on the specific software,
the languages and translation directions involved
and the topic of the speech.
End users should be warned that quality may not be adequate.
Search engines are useful in real-time subtitling
to check the spelling of words, names and so on.
There are software programmes that enable users
to go online and search what they need,
such as FAB Subtitlers, WinCaps and the PerVoice Subtitling Workstation.
Always remember to check your Internet connection, essential to go online,
before you start working.
Machine translation and search engines
are the tools which are most frequently used
by the real-time subtitlers who answered our survey.
Only one other tool has been mentioned: AutoHotkey.
This software programme makes it possible
to create hot keys, shortcuts and macros to write faster.
We have talked about these topics in the Element 1 section of this unit.
Summary.
According to our survey,
language tools, machine translation and crowdsourcing tools
are not used by many subtitlers.
The implementation of such tools in your job
can be useful to enhance your services
and improve the quality of the subtitles.
Exercises.
Visit the webpages mentioned in “Results of the LTA survey on output tools”
and identify which software programmes offer options
for machine translation, online searches
and other tools mentioned in this presentation.
[LTA MUSIC]
LTA, Live Text Access.
Universitat Autònoma de Barcelona.
SDI, Internationale Hochschule.
Scuola Superiore per Mediatori Linguistici.
ZDF Digital.
European Federation of Hard of Hearing People, EFHOH.
Velotype.
Sub-Ti Access.
European Certification and Qualification Association, ECQA.
Co-funded by the Erasmus+ Programme of the European Union.
Erasmus+ Project:
2018-1-DE01-KA203-004218
The information and views set on this presentation
are those of the authors
and do not necessarily reflect the official opinion
of the European Union.
Neither the European Union Institutions and bodies
nor any person acting on their behalf
may be held responsible for the use
which may be made of the information contained here.