... | ... | @@ -23,6 +23,12 @@ The matching of N-grams may get better with shorter sentence lengths, so there w |
|
|
|
|
|
In our program, the ratings are automatically converted to 🌟 next to the translator, with one star representing a low score relative to other translation results, two stars representing its middle score relative to other translation results, and three stars indicating its best translation. This user-friendly design allows users to use the program more easily and get a better experience.
|
|
|
|
|
|
# Highlighting Model
|
|
|
In this part, we develop two highlighting models, which are global comparison and word-by-word comparison. A string in a sentence is strictly equal to a string in another sentence when the index and the content of
|
|
|
them are all same. Additionally, we create a new concept called ‘Inaccurate Degree’ to allow the equality of two string with the same content and the different index.
|
|
|
|
|
|
With ‘Inaccurate Degree’, two strings having content in two sentences can be equal when the absolute value of the difference between their indexes is less than ‘Inaccurate Degree’
|
|
|
|
|
|
# ASR Model
|
|
|
The ASR feature is designed to give the user more choices of input methods in different scenarios.
|
|
|
|
... | ... | |