Google’s Instant Translation Headsets are Likely Anomalous

The new Google logo is seen at the Google headquarters in Mountain View, California. Photo: Reuters
The new Google logo is seen at the Google headquarters in Mountain View, California. Photo: Reuters
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Google’s Instant Translation Headsets are Likely Anomalous

The new Google logo is seen at the Google headquarters in Mountain View, California. Photo: Reuters
The new Google logo is seen at the Google headquarters in Mountain View, California. Photo: Reuters

In light of having different accents and vocabularies in the same language, the Guardian newspaper concluded that the new Google in-ear translation headsets may not be a useful gadget.

A few months ago, Google has invented new set of earphones that can simultaneously translate spoken language directly into the ear of the listener, when coupled with the correct headset and software.

According to the Guardian, the aim of many new technologies is to remove speech from the process of communication, so the excitement generated by Google’s in-ear headphones seems curiously anomalous.

The British newspaper considered that the success of Google’s new headset is like the Hitchhiker’s Guide to the Galaxy starred by Douglas Adams, this represents nothing less than the first coming of the Babel fish, an aquatic creature that excretes simultaneous translations directly into its host’s ear canal.

The Guardian saw that Adams knew what he was doing. By making his Babel fish a naturally occurring phenomenon, he was implicitly acknowledging the impossibility of humans ever producing something “so mind-bogglingly useful”, capable of tackling not just the raw vocabulary of a language, but also the cultural baggage that goes with it.

The newspaper reported that interpreters in Brussels still regale newcomers with the tale of the newbie who translated, “En ces temps difficiles, il faut compter sur la sagesse normande” quite correctly. The problem is that, “In these difficult times, we must count on Norman Wisdom” has quite a different message for native English speakers.

But at least when humans fail in their translations, they are usually making some attempt to understand what it is they’re translating. To really screw things up, you need a computer.

The Guardian continued: “I have no idea who was responsible for the road sign “Cyclists dismount” being translated into Welsh as “Bladder disease has returned”, but I suspect something went wrong while copying and pasting.

The same with “Nid wyf yn y swyddfa ar hyn o bryd. Anfonwch unrhyw waith i’w gyfieithu”, which is not Welsh for “No entry for heavy goods vehicles. Residential site only”, but means “I am not in the office at the moment. Send any work to be translated.”

Shuly Wintner, associate professor of computer science at the University of Haifa, quotes an early example of computer mistranslation in his 2005 introduction to computational linguistics.

“The spirit is willing, but the flesh is weak,” was put through Altavista into Russian, he says.

“The vodka is excellent but the meat is lousy” may well have been true, but it almost certainly wasn’t what the writer was looking for.

Spare a thought, too, for translators working the other way around. Donald Trump’s incoherent speech patterns are currently driving Japanese interpreters to distraction. Such is the structure of Japanese that you can’t begin to translate a sentence from English until you know what it’s about.

“When the logic is not clear or a sentence is just left hanging in the air, then we have a problem … There’s no way we can explain what he really means,” one shell-shocked interpreter told the Guardian in June.



Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.