Results 101 to 110 of about 594,786 (216)
Bilingually motivated domain-adapted word segmentation for statistical machine translation [PDF]
We introduce a word segmentation approach to languages where word boundaries are not orthographically marked, with application to Phrase-Based Statistical Machine Translation (PB-SMT).
Ma, Yanjun, Way, Andy
core
Statistical Machine Translation (SMT) for Highly-Inflectional Scarce-Resource Language
Statistical Machine Translation (SMT) is a machine translation paradigm, in which translations are generated on the base of statistical models. In this system, parameters are derived from an analysis of a parallel corpus, and SMT quality depends on the ...
Saman Namdar +2 more
doaj
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Gennadi Lembersky +2 more
doaj +1 more source
Using artificial intelligence tools for translating computer terminology
The emergence of artificial intelligence (AI) technologies has significantly transformed the field of translation, streamlining processes through automation and enhancing both efficiency and accuracy.
Maryna Tymchyk, Natalia Drabov
doaj +1 more source
Query Rewriting Using Monolingual Statistical Machine Translation
Stefan Riezler, Yi Liu
doaj +1 more source
Domain adaptation of statistical machine translation with domain-focused web crawling. [PDF]
Pecina P +6 more
europepmc +1 more source
Measuring Word Alignment Quality for Statistical Machine Translation
Alexander Fraser, Daniel Marcu
doaj +1 more source
The Alignment Template Approach to Statistical Machine Translation
Franz Josef Och, Hermann Ney
doaj +1 more source
The use of residual analysis to improve the error rate accuracy of machine translation
The aim of the study is to compare two different approaches to machine translation—statistical and neural—using automatic MT metrics of error rate and residuals.
Ľubomír Benko +4 more
doaj +1 more source

