[PDF] Top 20 Improved Statistical Alignment Models
Has 10000 "Improved Statistical Alignment Models" found on our website. Below are the top 20 most common "Improved Statistical Alignment Models".
Application of Clause Alignment for Statistical Machine Translation
... The clause alignment is explored as means to provide improved training data for the purposes of Statistical Machine Translation (SMT). A series of experiments with Moses demonstrate ways to modify ... See full document
9
Semi Supervised Training for Statistical Word Alignment
... The rest of the paper is organized as follows. In Section 2, we review the data sets we use to validate experimentally our algorithms and the as- sociated baselines. In Section 3, we present itera- tively our ... See full document
8
Bayesian Word Alignment for Statistical Machine Translation
... Word alignment is a crucial early step in the training of most statistical machine translation (SMT) sys- tems, in which the estimated alignments are used for constraining the set of candidates in ... See full document
6
Enhancing Statistical Machine Translation with Character Alignment
... As character could preserve more meanings than word in Chinese, it seems that a character can be wrongly aligned to many English words by the aligner. However, we found this can be avoided to a great extent by the basic ... See full document
6
Improving Statistical Word Alignment with Ensemble Methods
... multiword alignment links selected in the ensem- ...target alignment link. The intersection of bi- directional word alignment results produced by the IBM models only creates single word ... See full document
12
Improved Word Alignment with Statistics and Linguistic Heuristics
... ditional statistical approach with linguis- tic ...a statistical word aligner, as well as linguistic re- sources ranging from an English parser to heuristic alignment rules for function ... See full document
9
Weighted Alignment Matrices for Statistical Machine Translation
... Statistical machine translation (SMT) relies heav- ily on annotated bilingual corpora. Word align- ment, which indicates the correspondence be- tween the words in a parallel text, is one of the most important ... See full document
10
Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
9
The Alignment Template Approach to Statistical Machine Translation
... developed alignment template approach is also applicable to unrelated language pairs such as Chinese–English and that the developed statistical models indeed seem to be largely ... See full document
33
Improved Discriminative Bilingual Word Alignment
... Cherry and Lin’s (2003) method obtained an AER of 5.7% as reported by Mihalcea and Peder- sen (2003), the previous lowest reported error rate for a method that makes no use of the IBM mod- els. Cherry and Lin’s method is ... See full document
8
Automatic Keyphrase Extraction by Bridging Vocabulary Gap
... word alignment models (WAM) (Brown et al., 1993) in statistical machine translation (SMT) (Koehn, 2010) and propose a unified framework for keyphrase extraction: (1) From a collection of translation ... See full document
10
HMM Word and Phrase Alignment for Statistical Machine Translation
... Performance of systems based on Model-4 Viterbi Phrase-Extract PPIs is shown in Table 4, line 8. To train Model-4 using GIZA++, we split the bi- texts into two (A-E) or three (C-E) partitions, and train models for ... See full document
8
Tree to String Alignment Template for Statistical Machine Translation
... It should be emphasized that the restrictions we impose on TAT extraction limit the expressive power of TAT. Preliminary experiments reveal that removing these restrictions does improve transla- tion quality, but leads ... See full document
8
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... current alignment models do not take into account the morpheme, the smallest unit of syntax, beyond merely splitting ...word alignment models, researchers have resorted to tweaking SMT systems ... See full document
9
Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0 norm
... translation models, widely avail- able in the GIZA++ toolkit, remain the dom- inant approach to word alignment and an in- tegral part of many statistical translation sys- ...many models have ... See full document
9
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
... tence alignment on parallel web ...tree alignment model is employed to ex- ploit document structure in parallel web pages as useful information for identifying parallel sen- ...tree alignment model ... See full document
9
Log Linear Models for Word Alignment
... between statistical and heuristic ap- proaches is that statistical approaches are based on well-founded probabilistic models while heuristic ones are ...that statistical alignment ... See full document
8
Probabilistic Models for Alignment of Etymological Data
... several models of increasing complexity for alignment of etymological data- ...is improved upon by introducing a two-part coding scheme and sim- ulated annealing—this helps reduce the cost and ... See full document
8
Improving Alignment Quality in Statistical Machine Translation Using Context dependent Maximum Entropy Models
... ????????? ??? ??????????? ???? ?????????????? ?!?? !"#?$?%?&??"????(')???*???+' ,??? ?? ?&???? ?"$???%?&???? ??"&?? ???')?? ??&?0/1?#243??5?6?5 ?3??5 ??????%/7?8?9??? ?5 ??&????? ?;???13??5??"$< =?>?@[.] ... See full document
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