Closed lzfelix closed 6 years ago
Hi Luiz,
IIRC s
is a global transition matrix, which is not dependent on position.
Yuval
Hi Yuval,
You are right regarding the transition matrix being global, irrespective to elements position.
I actually forgot the complete definition of s_m(y_m, y_{m-1})
from an example on the book, where the function is defined as a sum of the score of the m
-th element of the sequence having the label y
and the transition between tags. This is defined formally on Equation 7.16.
What caught my attention is that s
has always a subscript on this chapter, except on this equation.
Luis, you are correct. sm is indexed by m because it describes the score for the tag transition y{m-1} -> y_m specifically on position m. I will make an update. Thanks! -Jacob
On Tue, Jun 19, 2018 at 6:17 AM, Luiz Felix notifications@github.com wrote:
Hi Yuval,
You are right regarding the transition matrix being global, irrespective to elements position.
I actually forgot the complete definition of s_m(ym, y{m-1}) from an example on the book, where the function is defined as a sum of the score of the m-th element of the sequence having the label y and the transition between tags. This is defined formally on Equation 7.16.
What caught my attention is that s has always a subscript on this chapter, except on this equation.
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Dear professor Eisenstein,
Thank you very much for making the book publicly available. I would like to point a possible typo on the equation on section 7.5.3.1:
Should not the
s
function be writtens_m
, indicating the transition between labelsy_{m-1}
andy_m
on thei
-th position of the underlyingw
sequence?Thank you very much, Luiz C F Ribeiro