DocumentCode
2951418
Title
Machine translation in the year 2004
Author
Knight, Kevin ; Marcu, Daniel
Author_Institution
Dept. of Comput. Sci., Univ. of Southern California, Marina del Rey, CA, USA
Volume
5
fYear
2005
fDate
18-23 March 2005
Abstract
Machine translation (MT) accuracy has recently increased, due to better techniques and to the availability of larger parallel training sets. Statistical MT systems are now able to translate across a wide variety of language pairs. This paper covers the basic elements of state-of-the-art, statistical MT, including modeling, decoding, evaluation, and data preparation.
Keywords
language translation; statistical analysis; automatic statistical training; data preparation; human language machine translation; language decoding; language modeling; machine translation accuracy; parallel training sets; statistical machine translation; Computer science; Councils; Decoding; Dictionaries; Humans; NIST; Page description languages; Resumes; Security; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416466
Filename
1416466
Link To Document