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So a conference takes a lot of 
planning and a lot of 

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preparation, So you need to 
think a lot about a whole bunch 

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of different things. 
And I don't envy the job of 

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event planners whatsoever 
because they have to look at the

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venue, the accommodations, the 
audio visual, the caterer, the 

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food, the guest speakers, the 
panelists, the moderators, EDI 

7
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interpretation, food allergies, 
and a whole host of other 

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logistical aspects. 
Like, it's just crazy what they 

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have on their plate. 
But one of the key aspects that 

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we wanted to focus on, um, based
on our subscriber demand is the 

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documentation. 
So basically all the, the 

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agendas, the PowerPoint 
presentations, handouts for 

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participants and all that stuff,
the importance of sending that 

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to the interpreters ahead of 
time. 

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So what we've done here is we've
put a top ten list of the 

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importance of sharing documents 
with interpreters. 

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So what's the first one on your 
list, Brian? 

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So the first thing would be 
obviously to prepare. 

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So interpreters, they use the 
documentation so they know 

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what's next, what to expect. 
So they use the agenda so they 

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know what the next topic's going
to be. 

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They use the PowerPoint 
presentations to prepare 

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lexicons, familiarize themselves
with specific terminology and a 

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specific topic. 
Um, also, is it going to be 

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simple language? 
Is it going to be complex 

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language? 
Is it going to be scientific 

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language? 
It can't just be language. 

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There is specificity to every 
single type of language that you

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use. 
It's very different to watch 

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for, for example, reading a 
cartoon article from a newspaper

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or reading Charles Dickens. 
Very different. 

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So you have to know who the 
audience is going to be, and you

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gotta know who's going to be 
speaking. 

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Absolutely. 
I have one. 

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You don't know what you don't 
know. 

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You gotta know what's. 
Next. 

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Absolutely. 
So you know a conference, you 

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know a conference can be 
organized by specific client by 

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in a specific field may that be 
a medical union, legal, 

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engineering, mining industry, 
etcetera. 

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But the topics inside the topic,
the topics can vary a lot. 

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It can vary also in length, in 
structure. 

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And it's not only about 
language. 

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For example, in one event you 
can have a very scripted first 

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part and then within, let's say,
a keynote address where we would

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00:02:50,930 --> 00:02:52,820
want the script. 
Because there's nothing worse 

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00:02:52,830 --> 00:02:57,150
for an interpreter to do your 
job while people are reading 

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something at lightspeed. 
And then there is this three or 

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five person paddle led by a 
moderator. 

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And then you've got more 
speeches in between. 

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And then you've got concurring 
workshops in different rooms 

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throughout the venue, May that 
be online, on site, and the 

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interpreters can't be caught off
guard. 

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We have to know, we, we need to 
know how our day will be 

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organized. 
We can't just be surprised all 

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the time. 
Yeah, I gave a like as an 

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example, Alan I last year we did
one on. 

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It was a big marketing one in 
Calgary. 

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I don't know if you remember 
that one and where we went. 

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Yeah, like we, we had like all 
these speeches at 1st and then 

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people went to different parts 
of the venue to be able to see 

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all the different gear that they
were gonna be selling, the 

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different supplies, the 
different vendors. 

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And then they come back and then
they'd have a dinner and there 

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was a presentation at dinner. 
Then there was awards in the 

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evening. 
I mean, why wouldn't we be have 

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the benefit of knowing ahead of 
time what to expect, right? 

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And, and this actually leads to 
something more that's quite 

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interesting is the, the, the 
whole mystery of glossaries. 

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It seems like only the 
interpreters are the ones who 

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are always pushing for 
glossaries and that kind of 

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thing. 
But it's documents for us. 

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They're our version of digital 
gold. 

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It's our digital gold. 
We use it to be able to mine all

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the information. 
And so it allows us to pull 

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keywords to add them to our own 
glossaries and particular 

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subjects. 
And because let's let's face it,

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it's impossible for any human 
being on this planet to know 

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every single word in the 
language that they speak. 

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Even it's even less likely that 
a human being will know every 

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single word in multiple 
languages. 

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So you know what? 
Like why? 

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Even after 20 years in the 
business, you don't know every 

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English word. 
I do not. 

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And there's also made upwards 
acronyms, proper names that are 

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new and creative. 
So you know what? 

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That's the beauty of our 
language is it keeps evolving, 

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but also it makes our jobs quite
interesting. 

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And so, yeah, why keep all this 
away, hidden from the 

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interpreters? 
That's my question. 

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Yeah, right. 
And not only to do glossaries, 

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you know, as I was saying 
earlier, when people have 

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written speeches, especially in 
the beginning of an event, 

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truth, I'm guilty too. 
I've been using AI, I've been 

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using translation tools to 
translate those speeches because

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00:05:38,520 --> 00:05:42,370
for us, it's very difficult when
actually one of the most 

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challenging. 
And I don't know if for you, 

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Brian, same thing, but one of 
the most challenging things as 

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an interpreter is to train is to
interpret a written speech. 

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Red add lightspeed. 
OHT. 

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Absolutely. 
Yeah, because people don't speak

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like they read. 
If when people speak, they 

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hesitate. 
There's some pauses when when 

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they're reading, usually 
sometimes they get very nervous 

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with their sheet. 
Sometimes they're even shaking. 

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So we need to, we use a variety 
of translation tools or the AI 

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tools to help us translate 
speeches, scripts, pull out 

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words from a PowerPoint 
presentation. 

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And this is a very, very key 
aspect to provide a quality. 

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Service, absolutely. 
And the sooner the better was 

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what I would say is well because
like say for example, we use an 

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AI tool or a translation tool to
translate a PowerPoint 

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presentation or a script, then 
we can't, we should never rely 

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on A on a computer for the final
product. 

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You should always get a proof 
read by human being. 

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And in our case, like we would 
compare the language A, language

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B and make sure that the terms 
are used correctly. 

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Like we do a lot of prep work 
and that's basically sometimes 

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we do more prep work than the 
actual interpretation 

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assignments. 
So that's why it's important to 

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be able to give us this ahead of
time. 

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And so we can use all the tools 
that we have at our disposal so 

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that we're ready to go on on on 
game day. 

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I have to, I have to say that 
even when we use translation 

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tools and we can translate a 
script, even if we read the 

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script, we don't blindly read 
the script. 

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00:07:27,920 --> 00:07:30,930
It's important for an 
interpreter to use his judgment 

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to make sure that because this 
is not a proofread translation, 

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00:07:35,360 --> 00:07:38,690
this is just basically a rough 
draft to give us an idea of 

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where we're going. 
But as we're doing the 

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interpretation, we are not 
reading the script with the. 

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We're not reading the 
translating translated script 

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because it wouldn't make 
sometimes any sense. 

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So this is basically just one 
more tool in our toolbox to make

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sure that we don't stumble. 
That's right. 

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00:08:01,360 --> 00:08:05,640
And this has lead to to our next
point point #5 which is a 

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00:08:05,650 --> 00:08:10,280
meeting or a conference in one 
subject is always going to be a 

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00:08:10,290 --> 00:08:14,400
meeting in several subjects. 
So what what do I mean by that? 

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So basically, let's say there's 
a conference, medical 

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00:08:17,200 --> 00:08:21,470
conference, legal or union or 
engineering, whatever the case 

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00:08:21,480 --> 00:08:26,350
may be. 
The topic can vary within the 

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00:08:26,360 --> 00:08:28,540
conference. 
So for example, if you're doing 

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00:08:28,550 --> 00:08:32,390
a union meeting, it could start 
with a speech and then it'll go 

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00:08:32,400 --> 00:08:35,580
to cover resolutions. 
And then after the resolutions 

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00:08:35,590 --> 00:08:37,970
they're going to have 
constitutional amendments and 

146
00:08:37,980 --> 00:08:40,590
after that they've got labour 
law presentation. 

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00:08:40,600 --> 00:08:44,010
Then they're going to talk about
grievances and their locals and 

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00:08:44,020 --> 00:08:46,880
human rights complaints and 
health and safety issues and 

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00:08:46,890 --> 00:08:49,380
inclusion, professional 
development and that a whole 

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00:08:49,390 --> 00:08:52,880
bunch of other fields. 
So yeah, we should always have 

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00:08:52,890 --> 00:08:55,120
the information available so 
that we don't get caught by 

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00:08:55,130 --> 00:08:58,140
surprise. 
Yeah, absolutely. 

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00:08:58,250 --> 00:09:00,720
Being caught by surprise is the 
worst thing for an interpreter. 

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00:09:00,790 --> 00:09:05,150
Although we we deal with the 
unexpected constantly, we want 

155
00:09:05,160 --> 00:09:07,220
to minimize that as much as 
possible. 

156
00:09:07,350 --> 00:09:11,580
Because, Brian, I have a, I have
something to tell you. 

157
00:09:11,590 --> 00:09:15,280
I mean, I don't know if many 
people are aware of this, but 

158
00:09:15,290 --> 00:09:18,160
did you know that interpreters 
aren't parrots? 

159
00:09:19,180 --> 00:09:21,830
That's a good segue, my friend. 
Yeah, that's true. 

160
00:09:21,840 --> 00:09:24,210
We don't have feathers. 
We don't have a beak. 

161
00:09:24,470 --> 00:09:27,330
Yeah, yeah, yeah. 
We don't just repeat words and. 

162
00:09:27,340 --> 00:09:32,280
I hope I sound a lot better. 
How we just don't repeat words 

163
00:09:32,290 --> 00:09:37,080
into another language. 
In order to be a good 

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00:09:37,090 --> 00:09:40,170
interpreter, you need to 
understand the topic. 

165
00:09:40,230 --> 00:09:44,400
If you don't, whatever the 
qualities of the person in front

166
00:09:44,410 --> 00:09:48,700
of you who you're interpreting 
for, If you understand your 

167
00:09:48,710 --> 00:09:52,820
topic, you can produce a good 
result. 

168
00:09:53,010 --> 00:09:58,110
But if even if you have the most
eloquent speaker in front of 

169
00:09:58,120 --> 00:10:03,130
you, if you don't understand 
what he's talking about, then 

170
00:10:03,240 --> 00:10:07,720
you're doomed to fail. 
You need to understand that 

171
00:10:09,060 --> 00:10:15,050
those the words deliver a 
message and we need to do it as 

172
00:10:15,060 --> 00:10:17,470
faithfully, as faithfully as 
possible. 

173
00:10:17,480 --> 00:10:19,000
So that's why we need the 
documents. 

174
00:10:19,160 --> 00:10:24,980
Yeah, like one, one speaker that
comes to mind who is extremely 

175
00:10:24,990 --> 00:10:28,370
eloquent and a very thoughtful 
in every word that he uses would

176
00:10:28,380 --> 00:10:32,170
probably be Obama. 
And we're not just going to 

177
00:10:32,180 --> 00:10:34,950
repeat their every word that 
they say like a parrot. 

178
00:10:35,060 --> 00:10:37,810
We're going to try to understand
the message that he's trying to 

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00:10:37,880 --> 00:10:41,580
deliver and then deliver them to
the other languages faithfully 

180
00:10:41,590 --> 00:10:44,180
as possible. 
That's what we that's what our 

181
00:10:44,190 --> 00:10:46,700
job is. 
It's to interpret that, not to 

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00:10:46,710 --> 00:10:49,100
do speech translation and 
translate words. 

183
00:10:49,270 --> 00:10:54,380
We want to really give the 
essence of the message that 

184
00:10:54,390 --> 00:10:57,100
they're trying, that the speaker
is trying to give to their 

185
00:10:57,110 --> 00:11:04,020
audience now. 
Allah, do you remember what 

186
00:11:04,030 --> 00:11:06,560
happens after a conference? 
Like when you you're done 

187
00:11:06,570 --> 00:11:08,530
concentrating on this 
conference, do you remember like

188
00:11:08,540 --> 00:11:12,400
the, the what happens, like what
happened like or do you kind of 

189
00:11:12,410 --> 00:11:17,660
forget? 
I I I actually I forget 

190
00:11:17,670 --> 00:11:20,120
everything. 
Yeah, it's hard to retain. 

191
00:11:20,170 --> 00:11:24,240
Yeah, it's very, very. 
I think that from a conference, 

192
00:11:24,320 --> 00:11:30,120
I don't remember anything but 
the impression that I had, like,

193
00:11:30,130 --> 00:11:33,860
I don't remember any details. 
I don't remember what people 

194
00:11:33,870 --> 00:11:36,440
said. 
Everything is very blurry in my 

195
00:11:36,450 --> 00:11:40,420
head. 
And I, it's, it's as if 

196
00:11:40,910 --> 00:11:46,690
interpreting is so tough on the 
brain sometimes that your mind 

197
00:11:46,700 --> 00:11:50,970
basically automatically deletes 
unwanted files. 

198
00:11:51,180 --> 00:11:54,630
You know, when your computer, 
your desktop is cluttered and 

199
00:11:54,640 --> 00:11:56,810
you've got too many files And 
this, you know what? 

200
00:11:57,030 --> 00:12:00,160
I have so many screenshots on 
my, on my desktop and it just 

201
00:12:00,170 --> 00:12:03,350
deletes a bunch of them and I 
just throw them in the bin. 

202
00:12:03,620 --> 00:12:05,650
Well, this is exactly what my 
brain does. 

203
00:12:05,940 --> 00:12:09,290
And and that leads and that 
leads to my point, which is that

204
00:12:09,300 --> 00:12:12,750
confidentiality is key for our 
profession. 

205
00:12:12,760 --> 00:12:16,650
And the testing way does that 
remind people is that yes, we 

206
00:12:16,660 --> 00:12:19,970
are giving a lot of information,
but in terms of retention of 

207
00:12:19,980 --> 00:12:24,290
information, not not so much. 
Because even yesterday I did a 

208
00:12:24,300 --> 00:12:27,670
mining conference, I don't 
remember exactly what I 

209
00:12:27,680 --> 00:12:29,710
interpreted this mining 
conference. 

210
00:12:29,780 --> 00:12:32,690
I remember that the eggs are 
like these powdered eggs, the 

211
00:12:32,700 --> 00:12:34,560
scrambled eggs. 
I remember that very well. 

212
00:12:34,570 --> 00:12:36,750
But I don't remember the other 
part, which is the actual 

213
00:12:36,760 --> 00:12:39,390
presentations. 
But coming back to this 

214
00:12:39,400 --> 00:12:42,950
confidentiality thing, we do 
understand that some of the 

215
00:12:42,960 --> 00:12:45,890
information does need to be 
protected, but it shouldn't be 

216
00:12:45,900 --> 00:12:49,170
protected from the interpreters 
because the speakers, they need 

217
00:12:49,180 --> 00:12:51,570
to understand that we're working
as a team. 

218
00:12:51,620 --> 00:12:55,130
And if an under and if an 
interpreter doesn't know what 

219
00:12:55,140 --> 00:12:57,230
the speaker is going to be 
talking about because they 

220
00:12:57,240 --> 00:13:00,380
refuse to share their notes, 
then their message is probably 

221
00:13:00,390 --> 00:13:02,540
not going to be as accurate in 
the other language. 

222
00:13:03,350 --> 00:13:06,840
So like put yourself in the in 
the position of a speaker, for 

223
00:13:06,850 --> 00:13:09,800
instance, and tell them, hey, 
you're up on stage, you're up. 

224
00:13:10,150 --> 00:13:12,190
But before you go up, give me 
all your notes. 

225
00:13:12,940 --> 00:13:14,810
And you, you have to do this 
without any notes. 

226
00:13:15,570 --> 00:13:17,720
Obviously that speaker is gonna 
be completely lost. 

227
00:13:17,730 --> 00:13:19,900
So how do you think the 
interpreters would feel if that 

228
00:13:19,910 --> 00:13:24,050
happened to them? 
So just to, to, to finish off on

229
00:13:24,060 --> 00:13:25,940
this whole confidentiality 
thing. 

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Yeah, we don't remember 
everything that we listened at a

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conference, but also we're bound
by confidentiality in our 

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profession. 
AIK has a whole section about 

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this if you're interested in 
looking into reading about 

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confidentiality with 
interpreters. 

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If you have trouble sleeping at 
night, you're more than welcome 

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to go check that out. 
And but if you're still feeling 

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apprehensive about sharing a 
document and you're a speaker, 

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then also there's the 
possibility of just signing an 

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NDA and then get that extra 
protection if you're that 

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uncomfortable with it. 
Yeah, we deal with confidential 

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information all the time. 
Sometimes, to be honest with 

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you, I do. 
I'm in Quebec City. 

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I deal with the Quebec 
government, the provincial 

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government. 
And I remember, for instance, I 

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I was in a meeting a years ago 
and I was like, and I said to 

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myself after the meeting, Oh my 
God, someday this is going to be

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in the paper. 
And seven years later it's a big

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scandal in the news. 
And I'm like to myself, of 

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course I knew it. 
So but. 

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I, I'm bound, I'm bound by my 
ethics code. 

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I'm certified interpreter here 
in Quebec. 

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I'm a member of OC C and we have
an ethics code. 

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So if you're dealing, if you're 
dealing with anyone that claims 

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to be an interpreter, that's one
thing. 

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But if you're dealing with a 
certified or a professional 

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interpreter, we are bound by 
confidentiality because of our 

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ethics code. 
So. 

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And and don't forget also that 
we're like the flies in the 

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wall, right? 
So like we're always in the 

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room. 
We're going to hear the 

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information whether you want to 
or not because we do have to 

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interpret it and still our job. 
So why not just give us the 

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information ahead of time so 
that we can prepare for it? 

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Naps rudely. 
But then that leads me to my 

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next point. 
We are part of the team, just 

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like the caterers, the hotel 
staff that then you staff, the 

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audio visual technicians, the 
event planner or the speakers or

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the videographer or the note 
takers, you name it. 

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Interpreters are also part of 
the team. 

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So we should be seeing 
accordingly. 

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Yes, sometimes we come to an 
event and we're dressed nicely 

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and interpreters. 
Sometimes they go into little 

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booth. 
They're through their little 

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thing and people think, you know
what computers are sort of at 

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this special breed that are just
out there just to do their 

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language part. 
But actually I think with that, 

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we are one of the key elements 
to make sure that the event runs

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smoothly. 
So please do not hold 

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information from the 
interpreters from us because 

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it's we want to make sure just 
like everyone else at the event,

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we want to make sure that 
everything runs smoothly. 

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You notice something doesn't go 
well. 

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Well, you know, because some 
there was a miscommunication and

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miscommunications are the reason
why any is the reason why 

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anything fails in life. 
And by trusting the interpreter 

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and by making sure that the 
interpreter is part of the team,

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you can make sure that your 
event is a success. 

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00:16:25,560 --> 00:16:28,310
Yeah, and we love it. 
I mean, I personally, personally

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speaking, I love going to an 
event, talking to the audio 

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visual technician, seeing if 
everything's OK on their end and

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vice versa, talking to the event
planner, making sure 

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everything's OK and vice versa. 
Talking to the speaker is the 

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people who are listening to us. 
We are all A-Team and we need to

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be aware of whether there's an 
issue or not. 

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And, and again, vice versa, we 
need to work as a team all the 

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00:16:49,570 --> 00:16:52,360
time. 
And that does actually lead me 

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00:16:52,370 --> 00:16:55,280
to the next point. 
We're actually, believe it or 

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not, out of our top ten, we're 
already at #9. 

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So at this point I think I've 
been keeping count my friend. 

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That's what I do. 
So anyways, my my point is when 

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people ask why I'm like, well 
why not right? 

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00:17:12,260 --> 00:17:15,980
So like in over 20 years as an 
interpreter, I've never come up 

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00:17:15,990 --> 00:17:19,890
with a good reason why we should
not receive the documents prior 

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00:17:19,900 --> 00:17:23,540
to an event. 
Like I can't think of 1, can 

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00:17:23,550 --> 00:17:24,300
you? 
Hello. 

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00:17:24,670 --> 00:17:27,420
Well, no, no, there, there's no 
good reason to withhold 

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00:17:27,430 --> 00:17:30,620
information, that's for sure. 
And some people will say, you 

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00:17:30,630 --> 00:17:36,300
know what, well, if I use an AI 
tool, then I won't need to feed 

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00:17:36,310 --> 00:17:39,950
it any documents. 
Actually, that's wrong. 

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00:17:40,020 --> 00:17:40,990
That's. 
Actually number. 

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00:17:41,000 --> 00:17:46,390
Ten, yeah, using an AI tool 
actually is more work than 

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00:17:46,400 --> 00:17:51,210
hiring an interpreter because 
did you know that AI speech 

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00:17:51,220 --> 00:17:55,630
translation software? 
Basically it's it's it's a 

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00:17:55,640 --> 00:17:58,850
translation software. 
We call it AI just for marketing

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00:17:58,860 --> 00:18:05,070
purposes, but it requires you to
upload as many documents as 

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00:18:05,080 --> 00:18:10,840
possible into it in order to 
feed it glossaries to minimize 

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00:18:10,890 --> 00:18:15,830
the number of errors, and these 
errors can be quite big. 

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00:18:17,120 --> 00:18:22,400
Therefore, you have to feed the 
translation software AKA I 

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00:18:23,170 --> 00:18:29,460
Proper names, acronyms, short 
terms, long terms, everything 

320
00:18:29,470 --> 00:18:34,360
needs to be included to ensure 
consistency into the software, 

321
00:18:34,410 --> 00:18:38,480
which is not something you need 
to do with an interpreter. 

322
00:18:39,450 --> 00:18:42,180
Yeah, you're basically doing the
job of the interpreter before 

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00:18:42,190 --> 00:18:44,410
the conference. 
So while we're preparing our 

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00:18:44,420 --> 00:18:47,980
glossaries and terminology and 
all this stuff, someone who will

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00:18:47,990 --> 00:18:50,660
be using, I still will have to 
do that work. 

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00:18:50,920 --> 00:18:54,210
So it doesn't take less work or 
less effort if you're using an 

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00:18:54,220 --> 00:18:58,510
AI tool like a speech 
translation, for example. 

328
00:18:58,520 --> 00:19:02,920
And actually, I know you showed 
me study that was done by 

329
00:19:02,930 --> 00:19:04,860
American Translators 
Association. 

330
00:19:05,010 --> 00:19:06,620
Yeah, yeah, yeah, like a couple 
of days ago. 

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00:19:06,630 --> 00:19:09,230
And and we're and it said like 
the accuracy rate for most of 

332
00:19:09,240 --> 00:19:14,260
these speech translation tools 
is about 56% more or less in the

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00:19:14,270 --> 00:19:15,920
language that they're listening 
to. 

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00:19:16,150 --> 00:19:20,100
So you can imagine how much it 
is on the end result. 

335
00:19:21,110 --> 00:19:25,380
But that's why these AI tools 
require the glossaries to be 

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00:19:25,390 --> 00:19:29,800
able to not hallucinate as much 
and not to give improper 

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00:19:29,810 --> 00:19:33,010
information. 
So basically like you're what 

338
00:19:33,020 --> 00:19:35,410
you're doing is you're feeding 
it so that it gets more and more

339
00:19:35,420 --> 00:19:38,150
accurate. 
But do you really want to be in 

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00:19:38,160 --> 00:19:40,570
the situation where you're 
trying it for the first time and

341
00:19:40,580 --> 00:19:43,650
it's only like 60% accurate? 
And then you're like, OK, let's 

342
00:19:43,660 --> 00:19:46,870
take all the notes from that and
then add it to the glossary for 

343
00:19:46,880 --> 00:19:49,030
next year. 
And next year it's going to be 

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00:19:49,100 --> 00:19:54,190
65 or 70% and so on until you 
get to that sweet spot. 

345
00:19:54,260 --> 00:19:56,470
How many conferences are you 
going to go through where 

346
00:19:56,480 --> 00:19:59,450
everything's inaccurate until 
you get to the accurate AI? 

347
00:20:00,100 --> 00:20:03,450
You know what, just a very 
quickly here. 

348
00:20:03,460 --> 00:20:07,330
You know what I'm going to share
here? 

349
00:20:07,380 --> 00:20:11,650
Um, just this. 
I got it right here. 

350
00:20:12,370 --> 00:20:14,880
So I, I'm preparing, here's this
presentation. 

351
00:20:14,890 --> 00:20:22,290
And you can see here that they 
did, they did some tests with 

352
00:20:22,580 --> 00:20:26,870
internal AI software to do 
interpretation. 

353
00:20:27,280 --> 00:20:33,010
And this is, these numbers are 
basically the accuracy level 

354
00:20:33,160 --> 00:20:36,210
depending on which language 
combination you're dealing with.

355
00:20:36,360 --> 00:20:42,530
And only out of all the tests 
that they did, only one out of 

356
00:20:42,540 --> 00:20:50,600
90 had a 75% accuracy. 
The accuracy for for the average

357
00:20:50,930 --> 00:20:57,300
was 46%. 
And if you take a look at the 

358
00:20:57,310 --> 00:21:00,780
bottom here for let's say when 
you combine let's say Arabic and

359
00:21:00,790 --> 00:21:04,320
English, the rate, the success 
rate is at 44%. 

360
00:21:04,370 --> 00:21:09,340
But let's say you go from French
into English, the accuracy rate 

361
00:21:09,350 --> 00:21:15,420
is at 62%. 
So and the the average for 

362
00:21:15,430 --> 00:21:19,860
instance, when it comes to any 
language into French, because I 

363
00:21:19,870 --> 00:21:21,860
deal with French all the time, 
because I'm a French English 

364
00:21:21,870 --> 00:21:26,970
interpreter, it's only at 36% 
right here. 

365
00:21:27,040 --> 00:21:32,520
So compared with the human come 
in for compared with a human 

366
00:21:32,530 --> 00:21:37,950
interpreter, these numbers show 
us that AI interpretation is 

367
00:21:37,960 --> 00:21:42,330
really not ready for prime time,
that's for sure. 

368
00:21:42,740 --> 00:21:45,060
Absolutely. 
No, I agree with you 100%. 

369
00:21:45,580 --> 00:21:49,370
And yeah, so anyways, that's we 
hope this was helpful to you 

370
00:21:49,380 --> 00:21:51,800
guys. 
We did like trying to give you 

371
00:21:51,810 --> 00:21:56,730
like a rough 10 top 10 reasons. 
And obviously it's not an 

372
00:21:56,740 --> 00:21:58,720
exhaustive list. 
There's a whole bunch of other 

373
00:21:58,730 --> 00:22:01,750
reasons why it's important for 
interpreters to get information 

374
00:22:01,760 --> 00:22:05,920
ahead of time, but ducha 
interest of time and whatnot. 

375
00:22:06,270 --> 00:22:09,620
At least we hope that it was 
able to shed some light on why 

376
00:22:09,630 --> 00:22:12,470
it's so important to share 
information with interpreters. 

377
00:22:13,430 --> 00:22:16,200
All right, perfect, perfect all.
Thank you very much. 

378
00:22:16,270 --> 00:22:23,610
And don't forget everyone like 
share, subscribe and if someone 

379
00:22:23,620 --> 00:22:28,420
listening, yeah, yeah, yeah. 
And we're listening, so if. 

380
00:22:28,430 --> 00:22:33,160
Anyone if yeah, if you guys want
any other podcast topics, let us

381
00:22:33,170 --> 00:22:35,500
know. 
We'll, we'll keep on doing our 

382
00:22:35,510 --> 00:22:37,480
what we do. 
Yeah, exactly. 

383
00:22:37,490 --> 00:22:40,760
So thank you for listening 
everyone and see you next time. 

384
00:22:40,830 --> 00:22:41,680
Cheers. 
Take care.