Ezra Daya

2 paper cards in Mova's library · 2004–2008

Ezra Daya wrote 2 of the papers Mova reads, in 2004–2008; often with Dan Roth, Shuly Wintner.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Identifying Semitic Roots: Machine Learning with Linguistic Constraints (2008)
Semitic words are built from a root (usually three consonants) and a pattern, and the root is hard to recover from unpointed text because of weak paradigms, missing vowels and attached prefixes.
Learning Hebrew Roots: Machine Learning with Linguistic Constraints (2004)
The root of a Hebrew word (usually three consonants) is hard to find, because vowels are unwritten, particles attach without spaces, and weak roots change their shape.