FROM A WORD TO A MODEL—THE CODEBOOK

4 C o n c l u s i o n a n d F u t u r e W o r k
In this paper, we have presented a new search al-
gorithm for statistical machine translation. First
experiments prove its applicability to realistic and complex tasks such as spontaneously spoken[r]

The results presented in this paper will be of use to engineers in simulating ground motion for large events. Given a particular fault and magnitude, the developed model can handle uncertainties in the slip distribution. The seismic moment can be esti[r]

fore their governors.
3.3 Search
Due to our use of constraints, when seeking the highest probability alignment, we cannot rely on a method such as dynamic programming to (implic- itly) search the entire alignment space. Instead, we use a best-first search alg[r]

In this study, the RD computational model was developed to quantitatively describe the potential that three biological replicates from group A can be differentiated from the three replic[r]

6.1 Architectural Comparison
In this section we compare the architecture of a traditional RTOS with embedded Linux. A traditional RTOS is generally based on a flat memory model. All the applications along with the kernel are part of a single image t[r]

1 I n t r o d u c t i o n
In Japanese, around 95% word segmentation ac- curacy is reported by using a word-based lan- guage model and the Viterbi-like dynamic program- ming procedures (Nagata, 1994; Yamamoto, 1996; Takeuchi and Matsumoto[r]

MARK THE LETTER A, B, C OR D TO INDICATE THE WORD WHOSE MAIN STRESS IS PLACED DIFFERENTLY FROM THE REST.. CIRCLE THE LETTER A, B, C OR D NEXT TO THE WORD OR PHRASE WHICH BEST COMPLETES E[r]

This paper describes a method to predict the fire resistance ratings of the wooden floor assemblies using Artificial Neural Networks. Experimental data collected from the previously published reports were used to train, validate, and test the proposed ANN model. A series of model configurations were[r]