Báo cáo khoa học: "A Comparative Study on Reordering Constraints in Statistical Machine Translation" potx

... con- straints in detail. The first constraints are based on inversion transduction grammars (ITG) (Wu, 1995; Wu, 1997). In the following, we will call these the ITG constraints. The second constraints ... translation results for both the IBM constraints and the baseline ITG constraints. We used a single-word based search with IBM Model 4. The initialization for the ITG constrain...

Ngày tải lên: 17/03/2014, 06:20

... 2005). Since non-local reorderings such as monotone gap and reverse gap are more frequent in Japanese to English translations, they are worth modeling ex- plicitly in this reordering model. Since ... phrase classification. 4.3 Conditioning Factor of Reordering The third approach to cope with sparseness in Equation (4) is to approximate the equation by re- ducing the conditioning fact...

Ngày tải lên: 31/03/2014, 01:20

... more training instances by collecting instances for fine-grained roles. Thus, semantic roles with few training in- stances are expected to receive additional clues from other training instances ... group Giv- ing::Donor (in the hierarchical-relation groups) contains the roles Giving::Donor and Com- merce pay::Buyer. The remainder of this section describes the grouping criteria in detail....

Ngày tải lên: 17/03/2014, 01:20

... for 72 h. Concentrations of inhib- itor causing a 50% reduction in growth (EC 50 ) were deter- mined using the following two-parameter equation by nonlinear regression using grafit: y ¼ 100 1 ... following oral dosing. Using this methodology, we examined the effects of methylglyoxal on an in vivo T. brucei infection. The maximum achiev- able methylglyoxal concentration in blood follow...

Ngày tải lên: 23/03/2014, 06:20

... partners. It currently contains more than 730 million parallel sentences in almost 50 languages. In the first 4 months since launching the invitation only beta version of the platform, 82 ... scalable. The LetsMT! platform contains several machines with both continuous and on- demand availability:  Continuous availability machines are used to run the core frontend and backend...

Ngày tải lên: 07/03/2014, 18:20

... learn reorderings from training data just like learning phrasal translations. Lexicalized re- ordering model learns reorderings from training data, but it binds reorderings to individual concrete phrases, ... probabilities can be set to prefer mono- tone or non-monotone orientations depending on the language pairs. In view of content-independency of the dis- tortion and flat reordering m...

Ngày tải lên: 08/03/2014, 02:21

... A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation. In Proceedings of the 23rd Coling, pages 447–455, Beijing, China, August. Coling 2010 Organizing Com- mittee. Hideki ... July. Association for Computational Linguistics. Yuan Ding and Martha Palmer. 2005. Machine Transla- tion Using Probabilistic Synchronous Dependency In- sertion Grammars....

Ngày tải lên: 30/03/2014, 17:20

... Cambridge, MA. Sutton, R.S.,Mcallester, D., Singh, S., Mansour, Y. 2000, Policy gradient methods for reinforcement learning with function approximation, In Advances in Neural Information Processing Systems ... booking to provid- ing information or keeping company and forming long term relationships with the users. Other in- teresting types of DS are tutorial systems, whose goal is to te...

Ngày tải lên: 17/03/2014, 22:20

... additional tasks involving conditional sequence models: a Conditional Markov Model (CMM) for part of speech tagging and a Conditional Random Field (CRF) for Chinese word segmentation. Our ... non-zero features after estima- tion, number of training iterations, and computation time (in minutes of elapsed time on an XEON TM MP 3.6GHz machine) . 3.1 Parse re-ranking We follow the e...

Ngày tải lên: 08/03/2014, 02:21

... Combining Outputs from Machine Translation Systems. In Proceeding of EMNLP. Hawaii, US, Oct. F. Huang and K. Papinent. 2007. Hierarchical System Combination for Machine Translation. In Proceed- ings ... details in the next section. Confusion network construction: confusion network is built from one-to-one word alignment; therefore, we need to normalize the word align- ment b...

Ngày tải lên: 17/03/2014, 01:20