Learning Translation Templates with Type Constraints

Ilyas Cicekli


Abstract
This paper presents a generalization technique that induces translation templates from given translation examples by replacing differing parts in these examples with typed variables. Since the type of each variable is also inferred during the learning process, each induced template is associated with a set of type constraints. The type constraints that are associated with a translation template restrict the usage of that translation template in certain contexts in order to avoid some of wrong translations. The types of variables are induced using the type lattices designed for both source language and target language. The proposed generalization technique has been implemented as a part of an EBMT system.
Anthology ID:
2005.mtsummit-ebmt.4
Volume:
Workshop on example-based machine translation
Month:
September 13-15
Year:
2005
Address:
Phuket, Thailand
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
27–33
Language:
URL:
https://aclanthology.org/2005.mtsummit-ebmt.4
DOI:
Bibkey:
Cite (ACL):
Ilyas Cicekli. 2005. Learning Translation Templates with Type Constraints. In Workshop on example-based machine translation, pages 27–33, Phuket, Thailand.
Cite (Informal):
Learning Translation Templates with Type Constraints (Cicekli, MTSummit 2005)
Copy Citation:
PDF:
https://aclanthology.org/2005.mtsummit-ebmt.4.pdf