• No results found

[PDF] Top 20 Weighted Alignment Matrices for Statistical Machine Translation

Has 10000 "Weighted Alignment Matrices for Statistical Machine Translation" found on our website. Below are the top 20 most common "Weighted Alignment Matrices for Statistical Machine Translation".

Weighted Alignment Matrices for Statistical Machine Translation

Weighted Alignment Matrices for Statistical Machine Translation

... obtain weighted alignment matrices, we fol- lowed Venugopal et ...two translation direc- ...symmetric alignment. As different alignment pairs might produce the same symmetric ... See full document

10

Reordering Modeling using Weighted Alignment Matrices

Reordering Modeling using Weighted Alignment Matrices

... most statistical machine translation sys- tems, the phrase/rule extraction algorithm uses alignments in the 1-best form, which might contain spurious alignment ...of weighted ... See full document

5

Event and Event Actor Alignment in Phrase Based Statistical Machine Translation

Event and Event Actor Alignment in Phrase Based Statistical Machine Translation

... event alignment approach is applied for the English-Bengali language ...The alignment has been carried out by single tokenizing the multi word events and event-actors on both sides of the parallel ...the ... See full document

9

Squibs and Discussions: Measuring Word Alignment Quality for Statistical Machine Translation

Squibs and Discussions: Measuring Word Alignment Quality for Statistical Machine Translation

... To generate word alignments we use GIZA++ (Och and Ney 2003), which im- plements both the IBM Models of Brown et al. (1993) and the HMM model (Vogel, Ney, and Tillmann 1996). We use Model 1, HMM, and Model 4, in that ... See full document

12

Improving Statistical Word Alignment with a Rule Based Machine Translation System

Improving Statistical Word Alignment with a Rule Based Machine Translation System

... in statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based machine ... See full document

7

A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation

A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation

... word alignment quality by combining three word alignment tables (i) GIZA++ alignment (ii) Berkeley Alignment and (iii) rule based align- ...word alignment by improving the quality of ... See full document

8

Improving Statistical MT through Morphological Analysis

Improving Statistical MT through Morphological Analysis

... In statistical machine translation, estimat- ing word-to-word alignment probabilities for the translation model can be difficult due to the problem of sparse data: most words in a given ... See full document

8

Modified Distortion Matrices for Phrase Based Statistical Machine Translation

Modified Distortion Matrices for Phrase Based Statistical Machine Translation

... This paper presents a novel method to suggest long word reorderings to a phrase-based SMT decoder. We address language pairs where long reordering concentrates on few patterns, and use fuzzy chunk-based rules to predict ... See full document

10

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

... One way of improving this alignment is by monotoniza- tion (Kanthak et al., 2005), i.e. reordering the words in the source sentence following the order of the words in the target sentence. For instance in a ... See full document

6

OPTIMAL ALIGNMENT FOR BI-DIRECTIONAL AFAAN OROMO-ENGLISH STATISTICAL MACHINE TRANSLATION

OPTIMAL ALIGNMENT FOR BI-DIRECTIONAL AFAAN OROMO-ENGLISH STATISTICAL MACHINE TRANSLATION

... all alignment options are possible in the two languages; this means that, a given word in one language, say English can be written in multiple words say Afaan ...the alignment task during text ... See full document

5

A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation

A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation

... quence alignment model based on SncTSSG to enhance the ability of non-contiguous phrase mod- eling and the reordering caused by non-contiguous constituents with large ...Chinese-English translation task, ... See full document

9

Experiments with POS based restructuring and alignment based reordering for statistical machine translation

Experiments with POS based restructuring and alignment based reordering for statistical machine translation

... We assume that after applying our method, the size of the extracted words would increase be- cause more alignments are generated at the end of the second run of GIZA++. Another assump- tion is that the size of the phrase ... See full document

6

Finding Medical Term Variations using Parallel Corpora and Distributional Similarity

Finding Medical Term Variations using Parallel Corpora and Distributional Similarity

... word alignment and phrase extraction techniques from statistical machine translation can be applied to collect translational variations across various languages which are then used to identify ... See full document

10

Seeding Statistical Machine Translation with Translation Memory Output through Tree Based Structural Alignment

Seeding Statistical Machine Translation with Translation Memory Output through Tree Based Structural Alignment

... suggested translation (Simard and Isa- belle, ...a Translation-Services Provider (TSP) company to reliably determine in advance the increase in translator productivity due to the use of MT and to adjust ... See full document

9

Enhancing Statistical Machine Translation with Character Alignment

Enhancing Statistical Machine Translation with Character Alignment

... rules would be matched by the source sentences. It is widely accepted that word segmentation with a higher F-score will not necessarily yield better translation performance (Chang et al., 2008; Zhang et al., 2008; ... See full document

6

The Alignment Template Approach to Statistical Machine Translation

The Alignment Template Approach to Statistical Machine Translation

... Figure 7 shows a structogram of the algorithm. As the search space increases expo- nentially, it is not possible to explicitly represent it. Therefore, we represent the search space implicitly, using the functions Extend ... See full document

33

A Comparison of Alignment Models for Statistical Machine Translation

A Comparison of Alignment Models for Statistical Machine Translation

... paper dvi A Comparison of Alignment Models for Statistical Machine Translation Franz Josef Och and Hermann Ney Lehrstuhl f?ur Informatik VI, Computer Science Department RWTH Aachen University of Techn[.] ... See full document

5

Bayesian Word Alignment for Statistical Machine Translation

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 ... See full document

6

Tree to String Alignment Template for Statistical Machine Translation

Tree to String Alignment Template for Statistical Machine Translation

... on statistical machine transla- tion has lead to the development of syntax-based ...treating translation as a pro- cess of parallel parsing of the source and tar- get language via a synchronized ... See full document

8

Application of Clause Alignment for Statistical Machine Translation

Application of Clause Alignment for Statistical Machine Translation

... clause alignment is explored as means to provide improved training data for the purposes of Statistical Machine Translation ...on translation quality: (1) baseline training with a ... See full document

9

Show all 10000 documents...