Learning Machine Translation / Najlacnejšie knihy
Learning Machine Translation

Code: 04560854

Learning Machine Translation

by Cyril Goutte, Nicola Cancedda, Marc Dymetman, George Foster, Masao Utiyama

The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial pot ... more

11.79

Availability:

50/50We think title might be available. Upon your order we will do our best to get it within 6 weeks.
We search the world

Availability alert

Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

Availability alert

Availability alert


Your agreement - Submiting you agree to the Terms and Condtions.

We will watch availability for you

Enter your e-mail address and once book will be available,
we will send you a message. It's that simple.

More about Learning Machine Translation

You get 29 loyalty points

Book synopsis

The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how Machine Learning techniques can improve Statistical Machine Translation, currently at the forefront of research in the field. The book looks first at enabling technologies--technologies that solve problems that are not Machine Translation proper but are linked closely to the development of a Machine Translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical Machine Translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple Machine Translation outputs in order to improve overall translation quality.ContributorsSrinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foster, Jesus Gimenez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mahe, Lluis Marquez, Evgeny Matusov, I. Dan Melamed, Ion Muslea, Hermann Ney, Bruno Pouliquen, Dan Roth, Anoop Sarkar, John Shawe-Taylor, Ralf Steinberger, Joseph Turian, Nicola Ueffing, Masao Utiyama, Zhuoran Wang, Benjamin Wellington, Kenji Yamada

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

11.79

Trending among others



Collection points Bratislava a 12835 dalších

Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies


Account: Log in
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Shopping cart ( Empty )

For free shipping
shop for 59,99 € and more

You are here: