Showing posts with label job opportunities. Show all posts
Showing posts with label job opportunities. Show all posts

25 October 2012

Technology and the great ‘refreshment’ of learning and playing


There is widespread fear that technology kills more jobs than it creates. Obviously so in manufacturing where Europe has seen hundreds of thousands of jobs ‘relocate’ to emerging economies. Or increasingly become replaced by industrial robots. Now, innovation in knowledge technologies – e.g. the language technology industry– will also appear to be replacing what we thought of as unique human skills by increasingly cheap techno-fixes. 

Copy-editors are being (so far inadequately) replaced by digital spell and grammar checkers. Court interpreters might eventually find themselves waiting longer for a phone call when the judge can simply plug into a (still perfectible) speech to speech translation service. Instantaneous speech analytics can do a quicker job than quality inspectors in pinpointing anomalies in contact centre practices. And trading translators for machines has been a familiar complaint for years now.

In knowledge-intensive industries, there will always be a certain subset of procedures that can be modelled as an algorithm and automated inside a workflow – think of AI-driven medical diagnoses or running text analytics on a large corpus of customer complaints. But we are also learning that technology can aid the agile human brain to rediscover a certain pleasure in activities that were once thought to have been ‘solved’ by digital methods. What were once tedious jobs, difficult mental games, or hard-grind obligations such as rote-learning can now – thanks to computers - be transformed into pleasurable recreations.

Interestingly, the English word recreation comes from the Latin recreationem meaning "recovery from illness" which evolved by 1400 into "refreshing oneself by some amusement". Harvard economics professor Kenneth Rogoff has recently drawn attention to a curious twist in the recent history of chess-playing. It has largely been ‘refreshed’ or ‘re-created ‘under the effect of a technology that might well have caused its extinction:

“Back-of-the-envelope calculations suggest that, worldwide, technological change could easily lead to the loss of 5-10 million jobs each year. Fortunately, until now, market economies have proved stunningly flexible in absorbing the impact of these changes. A peculiar but perhaps instructive example comes from the world of professional chess. (…) In 1997, the IBM computer Deep Blue defeated world chess champion Gary Kasparov in a short match. Soon, potential chess sponsors began to balk at paying millions of dollars to host championship matches between humans. (…) Nevertheless, a curious thing has happened: far more people make a living as professional chess players today than ever before. Thanks partly to the availability of computer programs and online matches, there has been a mini-boom in chess interest among young people in many countries. Many parents see chess as an attractive alternative to mindless video games. A few countries, such as Armenia and Moldova, have actually legislated the teaching of chess in schools.”

Another item on the ‘technology is skill-destructive’ agenda is the signature human ability to use memory to carry out a complex skill such as learning a language. There are regular complaints that digital tech has replaced (memory-based) mathematical skills, for example, or that a digital speech-to-speech translator will eventually eliminate the need for language learning. 

What may really be happening, though, is that technology is releasing us from the cognitive burdens we associate specifically with work. And enabling us to ‘re-create’ these erstwhile functional skills such as memorising and language learning as recreational pleasures.

Ed Cooke, the CEO of Memrise, is trying to encourage communities to invent new ways to learn old human tricks such as memorising. In an interview, he said:

“My cultural prediction is that the notion of learning is going to become increasingly detached from what is practical and increasingly linked to what is recreational and interesting. All we really try to do on the Internet is learn stuff, to understand what’s going on. Reading the Internet is an incredibly inefficient way of doing that – you can read Wikipedia for hours and end up with one anecdote. I think there will be some really interesting technology coming in the next few years to combine learning, reading and recreation. As long as we continue to think of learning as a functional thing then we’ll soon have to confront very soon the fact that we’re redundant as a species.  But if you think of learning in the way you think about having a conversation or going to see a film as a personal way to have fun and enrich yourself, then that’s a better to think about learning in the long term.”

If it proves true, this shift from a functional to a recreational – some might say a ‘gaming’ - mind-set in the digital age could largely draw on language technology. Language learning, language making (the recreational construction of Klingon-type languages for games of all sorts or for hobbyist communities) and generally playing around with anything from writing systems to spoken dialects could form just one strand in the great refreshment of our personal and social lives through technology.

Author: Andrew Joscelyne

23 October 2012

NLPPeople: boosting job opportunities for language techies


The European language industry probably needs good business staff – marketers, sales directors, social media experts, and senior management – as much as it needs techies. Yet these days it is often the techies who take the risk of starting up new companies around a promising technology idea. At the same time, companies in various verticals are now desperately looking for new expertise in natural language and speech processing to help with their big data, virtual assistant and globalization agendas. How about a dedicated site for matching NLP expertise with market demand?
Maxim Khalilov, who currently works at TAUS Labs out of Amsterdam, has had the neat idea of building a free language technology job board for language technology positions called NLPPeople. It brings together not just a growing list of job vacancies, but also value-add in the shape of advice for graduates starting out on a first job in industry, and a space for sharing experience and information to raise the overall level of understanding and expectation about industry-type conditions. 

Now that the first proofs of concept for data mining and sentiment detection have been successfully carried out on social media and other big data sources, the language barrier will start to kick in for global analytics. Hence the growing need among jobs advertised on NLPPeople for language-specific expertise in the NLP space, not simply machine learning skills. The jury is still out on the translate/analyse local language debate for big data processing, and both approaches will inevitably be tested. But the availability of language-savvy technologists could largely drive the conversation towards radical multilinguality, rather than ‘data’ translation.

A back of the envelope calculation based on the Stuttgart University listing suggests that Europe has between 150 and 200 academic centers producing graduates/PhDs in computational linguistic and speech processing, or from 1,700 to 2000 people being trained in various aspects of language technology-friendly disciplines. According to Khalilov, most other job listings focus on university positions or jobs in very large global IT companies, with a strong emphasis on software development rather than linguistic expertise –in the broadest sense of the term). Let’s hope that NLPPeople can put the right sort of graduates in touch with any of the 500 to 600 language/speech technology businesses needing technical staff in Europe, and even more importantly with the growing number of data-centric businesses that will need trained language engineers to turn data insights into export profits. 

Author: Andrew Joscelyne
Hat-tip to Steven Krauwer and Georg Rehm for useful input.