Blog
The latest from Google Research
Statistical machine translation live
viernes, 28 de abril de 2006
Posted by Franz Och, Research Scientist
Because we want to provide everyone with access to all the world's information, including information written in every language, one of the exciting projects at Google Research is machine translation. Most state-of-the-art commercial machine translation systems in use today have been developed using a rules-based approach and require a lot of work by linguists to define vocabularies and grammars.
Several research systems, including ours, take a different approach: we feed the computer with billions of words of text, both monolingual text in the target language, and aligned text consisting of examples of human translations between the languages. We then apply statistical learning techniques to build a translation model. We have achieved
very good results
in research evaluations.
Now you can see the results for yourself. We recently launched an online version of our system for
Arabic-English
and
English-Arabic
. Try it out! Arabic is a very challenging language to translate to and from: it requires long-distance reordering of words and has a very rich morphology. Our system works better for some types of text (e.g. news) than for others (e.g. novels) -- and you probably should not try to translate poetry ... but do stay tuned for more exciting developments.
Update:
We've just opened a
discussion forum
for all topics related to machine translation.
Update:
Fixed broken link to NIST results.
Our conference on automated testing
jueves, 27 de abril de 2006
Posted by Allen Hutchison, Engineering Manager
Automated testing is one of my passions: it has hard problems to be solved, and they get harder every day. Over the past few years, I've had the opportunity to work on several automation projects, and now I'm getting a chance to combine my passion for automation with my love for the city of London.
I'm happy to announce that Google will be hosting a
Conference on Test Automation
in our London office on September 7 and 8, 2006. Our goal is to create a collegial atmosphere where participants can discuss challenges facing people on the cutting edge of test automation, and evaluate solutions for meeting those challenges.
Call for Presentations
We're looking for speakers with exciting ideas and new approaches to test automation. If you have a subject you'd like to talk about, please send me email at
londontestconf@google.com
that includes a description of your 60- or 90-minute talk in 500 words or less. Deadline for submissions is
June 1
.
We're planning to have 10 people give presentations at the conference followed by adequate time for discussion. If you'd like to attend as a non-speaker, watch this space. Once we've got a slate of speakers, we'll post it along with details on attending.
See you at CHI
domingo, 23 de abril de 2006
Posted by Rick Boardman, User Experience Researcher
The raison d’etre for our user experience research team is driven by Google's keen interest in focusing on the user. So we help many product teams provide the best possible experience to everyone around the world, primarily by inviting thousands of people to take part in
usability tests
in our labs, and by analyzing our logs to identify problems which need fixing. From this we get the data we help our engineers make Google products as easy as possible to use for the millions of people out there who think computers are far too complicated. People like my Mum, Dad, girlfriend, Gran — and pretty much everyone I know!
We’re one of several Google teams that publish research at academic and industry conferences, and this week a number of us will be attending the
CHI
(Computer-Human Interaction) conference in Montreal, the world's premiere gathering for CHI researchers and practitioners. Googlers from several teams will take part in eight sessions, each focusing on different aspects of human-computer interaction. (The full program is
here
– it’s a PDF file.)
A Large Scale Study of Wireless Search Behavior: Google Mobile Search
– In a session on Search and Navigation: Mobiles and Audio, we'll present the first large-scale study of search behavior for mobile users, highlighting some shortcomings of wireless search interfaces.
Scaling the card sort method to over 500 items: Restructuring the Google AdWords Help Center
– Here we adapt the popular card-sorting research methodology to large information sets where the traditional approach is impractical and discuss how we've applied this technique.
No IM Please, We’re Testing
– During the Usability Evaluations: Challenges and Solutions session we’ll discuss the use of instant messaging tools like Google Talk in usability tests, and the benefits of this technique for enabling live collaboration between test moderators and observers.
Add a Dash of Interface: Taking Mash-Ups to the Next Level
– Here we contribute to the discussion of how extendable interfaces like Google Maps are enabling exciting new online innovation through the combining of data sources.
Why Do Tagging Systems Work?
– This panel will address the design challenges of scaling tagging systems to meet their recent surge in popularity. Gmail is an example of email tagging that offers more flexibility than traditional hierarchical systems.
D
esign Communication: How Do You Get Your Point Across?
– A key challenge for UI designers is communicating solutions and challenges within product teams. This panel focuses on effective ways to do that.
“It’s About the Information, Stupid!” Why We Need a Separate Field of Human Information Interaction
– This interdisciplinary panel will discuss arguments for and against a distinct field focusing on information rather than computing technology. One for the theoreticians? (-;
Incorporating Eyetracking into User Studies at Google
– In this Eyetracking in Practice workshop, we’ll talk about some of the challenges we’ve encountered in studies of eyetracking in our labs.
If you work in, or study, the area of human-computer interaction, the user experience team is hiring. Right now we’re looking for
user experience researchers
(including those with specialized quantitative skills),
UI designers
, and
more
.
Etiquetas
accessibility
ACL
ACM
Acoustic Modeling
Adaptive Data Analysis
ads
adsense
adwords
Africa
AI
AI for Social Good
Algorithms
Android
Android Wear
API
App Engine
App Inventor
April Fools
Art
Audio
Augmented Reality
Australia
Automatic Speech Recognition
AutoML
Awards
BigQuery
Cantonese
Chemistry
China
Chrome
Cloud Computing
Collaboration
Compression
Computational Imaging
Computational Photography
Computer Science
Computer Vision
conference
conferences
Conservation
correlate
Course Builder
crowd-sourcing
CVPR
Data Center
Data Discovery
data science
datasets
Deep Learning
DeepDream
DeepMind
distributed systems
Diversity
Earth Engine
economics
Education
Electronic Commerce and Algorithms
electronics
EMEA
EMNLP
Encryption
entities
Entity Salience
Environment
Europe
Exacycle
Expander
Faculty Institute
Faculty Summit
Flu Trends
Fusion Tables
gamification
Gboard
Gmail
Google Accelerated Science
Google Books
Google Brain
Google Cloud Platform
Google Docs
Google Drive
Google Genomics
Google Maps
Google Photos
Google Play Apps
Google Science Fair
Google Sheets
Google Translate
Google Trips
Google Voice Search
Google+
Government
grants
Graph
Graph Mining
Hardware
HCI
Health
High Dynamic Range Imaging
ICCV
ICLR
ICML
ICSE
Image Annotation
Image Classification
Image Processing
Inbox
India
Information Retrieval
internationalization
Internet of Things
Interspeech
IPython
Journalism
jsm
jsm2011
K-12
Kaggle
KDD
Keyboard Input
Klingon
Korean
Labs
Linear Optimization
localization
Low-Light Photography
Machine Hearing
Machine Intelligence
Machine Learning
Machine Perception
Machine Translation
Magenta
MapReduce
market algorithms
Market Research
Mixed Reality
ML
ML Fairness
MOOC
Moore's Law
Multimodal Learning
NAACL
Natural Language Processing
Natural Language Understanding
Network Management
Networks
Neural Networks
NeurIPS
Nexus
Ngram
NIPS
NLP
On-device Learning
open source
operating systems
Optical Character Recognition
optimization
osdi
osdi10
patents
Peer Review
ph.d. fellowship
PhD Fellowship
PhotoScan
Physics
PiLab
Pixel
Policy
Professional Development
Proposals
Public Data Explorer
publication
Publications
Quantum AI
Quantum Computing
Recommender Systems
Reinforcement Learning
renewable energy
Research
Research Awards
resource optimization
Robotics
schema.org
Search
search ads
Security and Privacy
Self-Supervised Learning
Semantic Models
Semi-supervised Learning
SIGCOMM
SIGMOD
Site Reliability Engineering
Social Networks
Software
Sound Search
Speech
Speech Recognition
statistics
Structured Data
Style Transfer
Supervised Learning
Systems
TensorBoard
TensorFlow
TPU
Translate
trends
TTS
TV
UI
University Relations
UNIX
Unsupervised Learning
User Experience
video
Video Analysis
Virtual Reality
Vision Research
Visiting Faculty
Visualization
VLDB
Voice Search
Wiki
wikipedia
WWW
Year in Review
YouTube
Archive
2021
jul
jun
may
abr
mar
feb
ene
2020
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2019
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2018
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2017
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2016
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2015
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2014
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2013
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2012
dic
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2011
dic
nov
sep
ago
jul
jun
may
abr
mar
feb
ene
2010
dic
nov
oct
sep
ago
jul
jun
may
abr
mar
feb
ene
2009
dic
nov
ago
jul
jun
may
abr
mar
feb
ene
2008
dic
nov
oct
sep
jul
may
abr
mar
feb
2007
oct
sep
ago
jul
jun
feb
2006
dic
nov
sep
ago
jul
jun
abr
mar
feb
Feed
Follow @googleai
Give us feedback in our
Product Forums
.
