A Method of Transliteration of Personal Names Based on the Classification of the Origin of Personal Names
A technology of personal names and origins, applied in the field of translation systems, can solve problems such as inconsistencies in transliteration modes
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach 1
[0055] Specific embodiment one: in this embodiment, the method for transliterating personal names based on the origin classification of personal names is carried out according to the following steps:
[0056] 1. Classification of origin of personal names:
[0057] According to the name origin feature template, the logistic regression model is used for calculation:
[0058] P ( Y = k | x ) = exp ( w k * x ) 1 + Σ k = 1 K - 1 exp ...
specific Embodiment approach 2
[0086] Specific embodiment two: the difference between this embodiment and specific embodiment one is that the SRILM tool is used to train the language model in the Chinese name origin feature template described in step one, wherein each n-gram has a probability, and n is 1, 2 or 3 , to count the one-dimensional distribution of all n-gram probabilities, divide 100 intervals according to this distribution, these 100 intervals are a clustering of n-gram features, each interval represents a category, and the variance sum in each interval The minimum, the variance and the maximum between the mean values of the intervals, use the n-gram data to find the dividing points of 100 intervals:
[0087] λ = arg min λ ( 0.7 * Σ x i ∈ X...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


