TWIRL: Translation with rule learning
Machine translation (MT) is the automatic conversion of a source language to a target language using computers. The two most common paradigms for machine translation are the rule based and example based approaches. The problem with the example based approach is that it needs to be domain specific an...
Saved in:
Main Authors: | Ang, Raymond Joseph O., Bautista, Natasja Gail R., Cai, Ya Rong, Tanlo, Bianca Grace G. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2005
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14213 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Learning translation rules from bilingual English - Filipino corpus
by: Tan, Michelle Wendy G., et al.
Published: (2005) -
T2CMT: Tagalog-to-Cebuano machine translation
by: Fat, Jacqueline Gemillan
Published: (2004) -
Learning translation rules for a bidirectional English-Filipino machine translator
by: Tan, Michelle Wendy G., et al.
Published: (2006) -
Hybrid Filipino-English machine translation system
by: Fontanilla, Gian Kristian A., et al.
Published: (2008) -
SMTPOST: Using statistical machine translation approach in Filipino part-of-speech tagging
by: Nocon, Nicco Louis S., et al.
Published: (2016)