Partnering with Tsinghua University to support education in Western China

Posted by Aimin Zhu, China University Relations

We’re excited to announce that we’ve teamed up with Tsinghua University to provide educational support to five major universities in Western China: Qinghai, Xinjiang, Guizhou, Ningxia, and Yunnan. Together, we aim to:

• Support faculty development by recognizing outstanding teachers, sponsoring published papers, and funding academic exchange and cooperation with other universities
• Establish specialized curricula by creating new courses focused on advanced industrial and web technologies
• Cultivate student talent by inspiring scientific and technological innovation through local activities and programs.

A ceremony held at Tsinghua today kicked off what we expect to be a long and beneficial partnership to advance educational opportunities in the region.

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1 billion core-hours of computational capacity for researchers

Posted by Dan Belov, Principal Engineer and David Konerding, Software Engineer

We’re pleased to announce a new academic research grant program: Google Exacycle for Visiting Faculty. Through this program, we’ll award up to 10 qualified researchers with at least 100 million core-hours each, for a total of 1 billion core-hours. The program is focused on large-scale, CPU-bound batch computations in research areas such as biomedicine, energy, finance, entertainment, and agriculture, amongst others. For example, projects developing large-scale genomic search and alignment, massively scaled Monte Carlo simulations, and sky survey image analysis could be an ideal fit.

Exacycle for Visiting Faculty expands upon our current efforts through University Relations to stimulate advances in science and engineering research, and awardees will participate through the Visiting Faculty Program. We invite full-time faculty members from universities worldwide to apply. All grantees, including those outside of the U.S., will work on-site at specific Google offices in the U.S. or abroad. The exact Google office location will be determined at the time of project selection.

We are excited to accept proposals starting today. The application deadline is 11:59 p.m. PST May 31, 2011. Applicants are encouraged to send in their proposals early as awards will be granted starting in June.

More information and details on how to apply for a Google Exacycle for Visiting Faculty grant can be found on the Google Exacycle for Visiting Faculty website.

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Overlapping Experiment Infrastructure: More, Better, Faster Experimentation

Posted by Deirdre O'Brien and Diane Tang, Adwords Team

At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-visible changes such as modifications to a user interface, but also more subtle changes such as different machine learning algorithms that might affect ranking or content selection. Our insatiable appetite for experimentation has led us to tackle the problems of how to run more experiments, how to run experiments that produce better decisions, and how to run them faster.

Google's infrastructure supports this vast experimentation by using orthogonal diversion criteria for experiments in different "layers" so that each event (e.g. a web search) can be assigned to multiple experiments. The treatment and population sample are easily specified in data files allowing for fast and accurate experiment set up. We have also developed analytical tools to do experiment sizing and a metrics dashboard which provides summarized data within hours of experiment set up. Decision making is improved by the consistency and accuracy in metrics assured by these tools. We believe that Google's experimental system and processes described in this paper can be generalized and applied by any entity interested in using experimentation to improve search engines and other web applications.

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Ig-pay Atin-lay Oice-vay Earch-say

Posted by Martin Jansche and Alex Salcianu, Google Speech Team

As you might know, Google Voice Search is available in more than two dozen languages and dialects, making it easy to perform Google searches just by speaking into your phone.

Today it is our pleasure to announce the launch of Pig Latin Voice Search!

What is Pig Latin you may ask? Wikipedia describes it as a language game where, for each English word, the first consonant (or consonant cluster) is moved to the end of the word and an “ay” is affixed (for example, “pig” yields “ig-pay” and “search” yields “earch-say”).

Our Pig Latin Voice Search is even more fun than our other languages, because when you speak in Pig Latin, our speech recognizer not only recognizes your piggy speech but also translates it automagically to normal English and does a Google search.



To configure Pig Latin Voice Search in your Android phone just go to Settings, select “Voice input & output settings”, and then “Voice recognizer settings”. In the list of languages you’ll see Pig Latin. Just select it and you are ready to roll in the mud!

It also works on iPhone with the Google Search app. In the app, tap the Settings icon, then "Voice Search" and select Pig Latin.

Ave-hay un-fay ith-way Ig-pay Atin-lay.


Pig Latin Voice Search works on Android 2.2 (Froyo) and later Android versions. If you don't already have Google Voice Search on your Android phone, scan or tap this QR code to download it.

The list of languages and dialects now supported by Google Voice Search includes:

• US English, UK English, Australian English, Indian English, South African English
• Spanish from Spain, Mexico, Argentina, and Latin America
• French (France), Italian, and Portuguese (Brazil)
• German (Germany) and Dutch
• Russian, Polish, and Czech
• Turkish
• Japanese, Korean, Mandarin (Mainland China and Taiwan), and Cantonese
• Bahasa Indonesia and Bahasa Malaysia
• Afrikaans and isiZulu
• Latin
• Pig Latin

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Word of Mouth: Introducing Voice Search for Indonesian, Malaysian and Latin American Spanish

Posted by Linne Ha, International Program Manager

Read more about the launch of Voice Search in Latin American Spanish on the Google América Latina blog.

Today we are excited to announce the launch of Voice Search in Indonesian, Malaysian, and Latin American Spanish, making Voice Search available in over two dozen languages and accents since our first launch in November 2008. This accomplishment could not have been possible without the help of local users in the region - really, we couldn’t have done it without them. Let me explain:

In 2010 we launched Voice Search in Dutch, the first language where we used the “word of mouth” project, a crowd-sourcing effort to collect the most accurate voice data possible.The traditional method of acquiring voice samples is to license the data from companies who specialize in the distribution of speech and text databases. However, from day one we knew that to build the most accurate Voice Search acoustic models possible, the best data would come from the people who would use Voice Search once it launched - our users.

Since then, in each country, we found small groups of people who were avid fans of Google products and were part of a large social network, either in local communities or on online. We gave them phones and asked them to get voice samples from their friends and family. Everyone was required to sign a consent form and all voice samples were anonymized. When possible, they also helped to test early versions of Voice Search as the product got closer to launch.

Building a speech recognizer is not just limited to localizing the user interface. We require thousands of hours of raw data to capture regional accents and idiomatic speech in all sorts of recording environments to mimic daily life use cases. For instance, when developing Voice Search for Latin American Spanish, we paid particular attention to Mexican and Argentinean Spanish. These two accents are more different from one another than any other pair of widely-used accents in all of South and Central America. Samples collected in these countries were very important bookends for building a version of Voice Search that would work across the whole of Latin America. We also chose key countries such as Peru, Chile, Costa Rica, Panama and Colombia to bridge the divergent accent varieties.

As an International Program Manager at Google, I have been fortunate enough to travel around the world and meet many of our local Google users. They often have great suggestions for the products that they love, and word of mouth was created with the vision that our users could participate in developing the product. These Voice Search launches would not have been possible without the help of our users, and we’re excited to be able to work together on the product development with the people who will ultimately use our products.

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Reading tea leaves in the tourism industry: A Case Study in the Gulf Oil Spill

Posted by Hyunyoung Choi and Paul Liu, Senior Economists

A few years ago, our in-house economists, Hal Varian and Hyunyoung Choi, demonstrated how to “predict the present” with monthly visitor arrivals to Hong Kong. We took this idea further to see if search queries could predict the future. If users start to research their travel plans some weeks or months in advance, then intuitively shouldn’t we be able to extend "predicting the present" into "predicting the future?" We decided to test it out by focusing on a region whose tourism was recently severely impacted: Florida’s gulf coast.

With the travel industry still in the midst of recovering from a deep recession, the Gulf Oil spill had the potential to do significant economic damage. Our case study on the Gulf Oil spill helped find useful insight into people’s future travel plans to Florida; in fact, we found that travel search queries actually were good predictors for trips to Florida, and destinations within Florida, about 4 weeks later.

The results we saw surprised us. Google Insights for Search suggested that at least with respect to hotel bookings (using data from Smith Travel Research, Inc.), the aggregate effect of the oil spill was modest on Florida travel, since travelers tended to shift their destinations from the affected regions on the west coast to the east coast or central regions of Florida. In particular, hotel bookings for affected areas along the Gulf coast were 4.25% less than predicted, and unaffected areas along the Atlantic coast were 4.89% greater than predicted.

You can read the full case study here or try your own hand at predicting the future!

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Games, auctions and beyond

Posted by Yossi Matias, Senior Director, Head of Israel R&D Center

In an effort to advance the understanding of market algorithms and Internet economics, Google has launched an academic research initiative focused on the underlying aspects of online auctions, pricing, game-theoretic strategies, and information exchange. Twenty professors from three leading Israeli academic institutions - the Hebrew University, Tel Aviv University and the Technion - will receive a Google grant to conduct research for three years.

In the past two decades, we have seen the Internet grow from a scientific network to an economic force that positively affects the global economy. E-commerce, online advertising, social networks and other new online business models present fascinating research questions and topics of study that can have a profound impact on society.

Consider online advertising, which is based on principles from algorithmic game theory and online auctions. The Internet has enabled advertising that is more segmented and measurable, making it more efficient than traditional advertising channels, such as newspaper classifieds, radio spots, and television commercials. These measurements have led to better pricing models, which are based on online real-time auctions. The original Internet auctions were designed by the industry, based on basic economic principles which have been known and appreciated for forty years.

As the Internet grows, online advertising is becoming more sophisticated, with developments such as ad-exchanges, advertising agencies which specialize in online markets, and new analytic tools. Optimizing value for advertisers and publishers in this new environment may benefit from a better understanding of the strategies and dynamics behind online auctions, the main driving tool of Internet advertising.

These grants will foster collaboration and interdisciplinary research by bringing together world renowned computer scientists, engineers, economists and game theorists to analyze complex online auctions and markets. Together, they will help bring this area of study into mainstream academic scientific research, ultimately advancing the field to the benefit of the industry at large.

The professors who received research grants include:

• Hebrew University: Danny Dolev, Jeffrey S. Rosenschein, Noam Nisan (Computer Science and Engineering); Liad Blumrosen, Alex Gershkov, Eyal Winter (Economics); Michal Feldman and Ilan Kremer (Business). The last six are also members of the Center for the Study of Rationality.
• Tel Aviv University: Yossi Azar, Amos Fiat, Haim Kaplan, and Yishay Mansour (Computer Science); Zvika Neeman (Economics); Ehud Lehrer and Eilon Solan (Mathematics); and Gal Oestreicher (Business).
• Technion: Seffi Naor (Computer Science); Ron Lavi (Industrial Engineering); Shie Mannor and Ariel Orda (Electrical Engineering).

In addition to providing the funds, Google will offer support by inviting the researchers to seminars, workshops, faculty summits and brainstorming events. The results of this research will be published for the benefit of the Internet industry as a whole, and will contribute to the evolving discipline of market algorithms.

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