Exploring clustering of Philippine languages in multilingual neural machine translation
Multilingual neural machine translation (MNMT) is a single model capable of translating several language directions. This has been shown to aid in translating low-resource languages such as Philippine languages. Moreover, there is also the empirical observation that clustering linguistically similar...
Saved in:
Main Author: | Coronia, Jeremy Dale O |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdm_softtech/4 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1006&context=etdm_softtech |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Bridging Philippine languages with multilingual neural machine translation
by: Baliber, Renz Iver D.
Published: (2021) -
Neural machine translation for Cebuano to Tagalog with subword unit translation
by: Adlaon, Kristine Mae M., et al.
Published: (2019) -
A hybrid English-Filipino machine translation system
by: Roxas, Rachel Edita O.
Published: (2006) -
Building the language resource for a Cebuano-Filipino neural machine translation system
by: Adlaon, Kristine Mae M., et al.
Published: (2019) -
Exploiting structural similarities of Philippine languages for a multilingual machine translation system
by: Giganto, Reynaldo T.
Published: (2003)