bfm 30 machine model code

... code ) gets mapped to a sequence of model element instances (call it model ) using model- code associations These model element instances may come from different objects; we can 30 project model ... generating sequential Java code from Statechart models, performing code- level dynamic slicing on generated code, and mapping code- level result back to model- level In fact, most code- level (semi-)automatic ... used in code generation While generating code from Statechart models, we mark the lines of code corresponding to specific model elements with the model element name and type The usual model element...

Ngày tải lên: 04/10/2015, 10:25

... Brunei ETO and the Model Code 136 Table - Comparison between ETO Mynamar and The Model Code .148 Table - Comparison between Digital Signature Act of Malaysia and the Model Code1 57 Table 10 ... ECA of Philippines with the Model Code 166 Table 11 - Comparison of ETA Singapore and the Model Code .187 Table 12 - Comparison of ETA of Thailand and the Model Code .202 Table 13 - Consolidated ... E-commerce Transaction Model Code (the model code) is after carefully considering the, international e-commerce legal and regulatory developments The adaptability of the Model Code to the existing...

Ngày tải lên: 05/10/2015, 19:01

Ngày tải lên: 25/11/2013, 00:11

Ngày tải lên: 01/12/2013, 21:11

Ngày tải lên: 01/12/2013, 21:11

... statistical machine translation Machine Translation, pages 187-207 Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar 2008 Semi-supervised Model Adaptation for Statistical Machine Translation Machine ... Statistical Machine Translation with Mixture Modelling In Proc of the Second Workshop on Statistical Machine Translation, pages 177-180 Matthias Eck, Stephan Vogel and Alex Waibel 2004 Language Model ... Markov Models In Journal of Machine Learning Research, pages 163-170 Saˇa Hasan, Juri Ganitkevitch, Hermann Ney and Jes´s s u Andr´s-Ferrer 2008 Triplet Lexicon Models for Se tatistical Machine...

Ngày tải lên: 19/02/2014, 19:20

... 25.2% 24.4% 30. 2% 30. 2% 29.8% 31.3% 32.8% 230M n=4,m=3 200 183 190 812 184 179 175 171 146 140 140 139 137 130 — REDUC TION 8.5% 5.0% -306 .0% 8.0% 10.5% 12.5% 14.5% 27.0% 30. 0% 30. 0% 30. 5% 31.5% ... linearly smoothed 4-gram as the baseline model for 230 million token corpus, and linearly smoothed 5-gram as the baseline model for 1.3 billion token corpus Model size is a big issue, we have to ... language model The composite n-gram/m-SLM/PLSA language model can be formulated as a directed MRF model (Wang et al., 2006) with local normalization constraints for the parameters of each model...

Ngày tải lên: 20/02/2014, 04:20

... (source given target) node-to-node translation model HMTM transition probabilities can be interpreted as probabilities from the target-language tree model This is an important feature from the MT ... is an important feature from the MT viewpoint, since the decomposition into translation model and language model proved to be extremely useful in statistical MT since (Brown et al., 1993) It allows ... processing using hidden markov models IEEE Transactions on Signal Processing, 46(4):886–902 Michelangelo Diligenti, Paolo Frasconi, and Marco Gori 2003 Hidden tree Markov models for document image...

Ngày tải lên: 20/02/2014, 09:20

... our First-pass models Model Baseline MT System Lang Model (Permutations) Lang Model (TargetCohesive) Local Tree Order Model Local Tree Order Model + Lang Model Re-ranking Models Features Baseline ... language -model like features discriminatively to optimize ordering performance, is indeed worthwhile Next we compare data set First-pass models Model Lang Model (Permutations) Lang Model (TargetProjective) ... choice models: Feature-rich models for global distortion in statistical machine translation In HLT-NAACL F J Och and H Ney 2002 Discriminative training and maximum entropy models for statistical machine...

Ngày tải lên: 20/02/2014, 12:20

... in each codeword for each classifier The ECOC algorithm is outlined in Figure TRAINING Load training data and parameters, i.e., the length of code L and training class K Create a L-bit code for ... Why Model- Refinement can reduce this bias? In order to decrease this kind of bias, we employ the Model- Refinement to adjust the class representative, i.e., the centroids The basic idea of Model- Refinement ... the length of the codes increases the classification accuracy However, the increase in accuracy is not directly proportional to the increase in the length of the code As the codes get larger,...

Ngày tải lên: 20/02/2014, 12:20

... global model will be left to another study  3.2 ! Local Model Restrictions In the following, we consider a simplication of the direct global model in Eq As in (Tillmann, 2004), we model the ... generated) The SWAP model in line uses the same two features, but neighbor blocks can be swapped No performance increase is obtained for this model The SWAP & OR model uses an orientation model as described ... as maximumentropy models, similar to those used in natural language processing, e.g maximum-entropy models for POS tagging and shallow parsing In the parsing context, global models such as in...

Ngày tải lên: 20/02/2014, 15:20

... Koehn 2004 Pharaoh: a beam search decoder for phrase-based statistical machine translation models In Proceedings of the Sixth Conference of the Association for Machine Translation in the Americas, ... Prediction Model for statistical machine translation In Proceedings of ACL 2005, pages 557–564 Shankar Kumar and William Byrne 2005 Local phrase reordering models for statistical machine translation ... on the language model This model is obviously different from the monotone search, which does not use the inverted rule at all The second one is a distortion style reordering model, which is formulated...

Ngày tải lên: 08/03/2014, 02:21

... rule sets DerivTool can be adapted to visualize other syntax-based MT models, other tree-to-tree or tree-to-string MT models, or models for paraphrasing Translation Framework It is useful at this ... for statistical machine translation Proc of ACL Kenji Yamada and Kevin Knight 2001 A syntax-based statistical translation model Proc of ACL Kenji Yamada and Kevin Knight 2002 A decoder for syntaxbased ... MT framework against real-world data before building a fullyfunctional decoder By allowing us to play the role of a decoder and translate sentences manually, it has given us insight into how...

Ngày tải lên: 08/03/2014, 04:22

... Proceedings of International Conference on Machine Learning, pages 282-289 Haizhou Li, Min Zhang and Jian Su 2004 A joint source-channel model for machine transliteration, Proceedings of the ... Nakamura and Sadaoki Furui 2009 Combining a Two-step Conditional Random Field Model and a Joint Source Channel Model for Machine Transliteration, Proceedings of the 2009 Named Entities Workshop: ... 0.797 0.785 0.794 Table 3: Model combination results Conclusions and future work In this paper we have presented our new joint optimization method for a two-step CRF model and its fast decoding...

Ngày tải lên: 17/03/2014, 00:20

... statistical machine translation: parameter estimation Computational Linguistics, 19:263–311 Woosung Kim 2005 Language Model Adaptation for Automatic Speech Recognition and Statistical Machine Translation ... Linguistics Bing Zhao, Matthias Eck, and Stephan Vogel 2004 Language model adaptation for statistical machine translation with structured query models In Proceedings of the 20th international conference ... combination of forward and backward word alignments (Koehn et al., 2003) The SMT decoder uses a log-linear model that combines numerous features, including but not limited to phrase translation...

Ngày tải lên: 17/03/2014, 00:20

... models across the two systems The proposed SncTSSG based model significantly outperforms (p < 0.05) the two baseline models Since the SncTSSG based model covers the STSSG based model in its modeling ... significant test We compare the SncTSSG based model against two baseline models: the phrase-based and the STSSG-based models For the phrase-based model, we use Moses (Koehn et al, 2007) with its ... of the model also slacks due to their weak ability of generalization To address this issue, we propose a syntactic translation model based on non-contiguous tree sequence alignment This model...

Ngày tải lên: 17/03/2014, 01:20

... 2003 Syntaxbased language models for statistical machine translation In Proceedings of MT Summit IX D Chiang 2005 A hierarchical phrase-based model for statistical machine translation In Proceedings ... dependency parsing While tree-to-tree models can represent richer structural information, existing tree-totree models did not show advantage over string-totree models on translation accuracy due ... information is encoded in the category of the dependency structure In the next section, we will explain how to extend categories and states to exploit a dependency language model during decoding...

Ngày tải lên: 17/03/2014, 02:20

... translation model In Proceedings of the 39th Annual Meeting of the ACL, pages 523– 530 Philipp Koehn 2004a Pharaoh: a beam search decoder for phrase-based statistical machine translation models In ... systems we trained the translation model on the FBIS corpus (7.2M+9.2M words); for the language model, we used the SRI Language Modeling Toolkit to train a trigram model with modified Kneser-Ney smoothing ... decoding algorithm asymptotically linear-time The decoder is implemented in Python, an interpreted language, with C++ code from the SRI Language Modeling Toolkit (Stolcke, 2002) Using the settings...

Ngày tải lên: 17/03/2014, 05:20

... 8.85 average 5.73 9.72 4.34 8.89 LM 6.01 9.83 4.56 8.96 B LEU 30. 3 31.0 30. 3 30. 3 30. 8 30. 9 30. 4 30. 6 31.0 30. 8 30. 9 31.0 30. 9 30. 9 30. 8 Table 7: Contrast between a separate optimization of each ... 29.7 28.6 28.9 30. 2 28.9 30. 2 33.6 32.4 31.3 31.3 31.0 30. 8 30. 8 30. 8 31.6 31.4 31.5 31.3 33.8 33.7 33.7 33.2 32.4 32.4 32.4 32.4 31.5 31.9 31.7 29.8 31.3 31.3 31.2 30. 7 31.0 30. 9 31.0 25.9 31.5 ... compare three baselines and four translation model mixture techniques The three baselines are a purely in-domain model, a purely outof-domain model, and a model trained on the concatenation of the...

Ngày tải lên: 17/03/2014, 22:20

... +pre-sort Observation histogram size is fixed to No = 100 for both decoders which performs pre-sorting with respect to the translation model scores only The number of hypothesis expansions is reduced ... Brian Delaney, Wade Shen, and Timothy Anderson 2006 An efficient graph search decoder for phrase-based statistical machine translation In International Workshop on Spoken Language Translation, ... [Heafield2011] Kenneth Heafield 2011 KenLM: Faster and Smaller Language Model Queries In Proceedings of the 6th Workshop on Statistical Machine Translation, pages 187–197, Edinburgh, Scotland, UK, July...

Ngày tải lên: 23/03/2014, 14:20