Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Saba Amsalu"'
Publikováno v:
Journal of Statistical Physics. 154:1516-1549
Consider two random strings having the same length and generated by an iid sequence taking its values uniformly in a fixed finite alphabet. Artificially place a long constant block into one of the strings, where a constant block is a contiguous subst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98a87839cf70fe4e696e04372fa12c34
https://doi.org/10.1007/s10955-014-0938-6
https://doi.org/10.1007/s10955-014-0938-6
Publikováno v:
Journal of Statistical Physics. 131:1103-1120
We introduce an interacting particle model in a random media and show that this particle process is equivalent to the Longest Common Subsequence (LCS) problem of two binary sequences. We derive a differential equation which links the mean LCS-curve t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5efffaa062c64ce57ebb364efdb56e6
https://doi.org/10.1007/s10955-008-9533-z
https://doi.org/10.1007/s10955-008-9533-z
Autor:
Teserra, Saba Amsalu
In dieser Arbeit werden effiziente Wort- und Wortteil-Alignmentalgorithmen von satzweise alignierten Parallelkorpora vorgestellt. Es werden hauptsächlich Verfahren der statistischen Übersetzungsmodellierung verwendet, die Termverteilungsmatrizen nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::dd14ae5da31942e0382cd0a72eb63515
https://pub.uni-bielefeld.de/record/2301459
https://pub.uni-bielefeld.de/record/2301459
Autor:
Saba Amsalu
Publikováno v:
Advances in Natural Language Processing ISBN: 9783540373346
FinTAL
FinTAL
We describe a corpus-informed lexical acquisition procedure based on maximum likelihood estimate of translations. The most likely translation words in singleton parallel sentences are determined by the measure of the similarity of their distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3cb94abc258656063df7282e53ab371
https://doi.org/10.1007/11816508_47
https://doi.org/10.1007/11816508_47