How to byte-pair encode character sequences at prediction time?
$begingroup$
Suppose I have a vocabulary V = {'f', 'o', 'b', 'a', 'r', 'fo', 'ob', 'ar', 'foob', 'obar'}
from BPE and at prediction time I come across an input 'foobar'
. Either ['foob', 'ar']
or ['fo', 'obar']
would seem a reasonable encoding. What's the best way to handle this situation? If we greedily encode the character sequence by iteratively finding the longest next subsequence in V can it be suboptimal (e.g. there is an encoding with fewer subwords or one that our language model knows better)?
natural-language-process language-model
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$endgroup$
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$begingroup$
Suppose I have a vocabulary V = {'f', 'o', 'b', 'a', 'r', 'fo', 'ob', 'ar', 'foob', 'obar'}
from BPE and at prediction time I come across an input 'foobar'
. Either ['foob', 'ar']
or ['fo', 'obar']
would seem a reasonable encoding. What's the best way to handle this situation? If we greedily encode the character sequence by iteratively finding the longest next subsequence in V can it be suboptimal (e.g. there is an encoding with fewer subwords or one that our language model knows better)?
natural-language-process language-model
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose I have a vocabulary V = {'f', 'o', 'b', 'a', 'r', 'fo', 'ob', 'ar', 'foob', 'obar'}
from BPE and at prediction time I come across an input 'foobar'
. Either ['foob', 'ar']
or ['fo', 'obar']
would seem a reasonable encoding. What's the best way to handle this situation? If we greedily encode the character sequence by iteratively finding the longest next subsequence in V can it be suboptimal (e.g. there is an encoding with fewer subwords or one that our language model knows better)?
natural-language-process language-model
New contributor
$endgroup$
Suppose I have a vocabulary V = {'f', 'o', 'b', 'a', 'r', 'fo', 'ob', 'ar', 'foob', 'obar'}
from BPE and at prediction time I come across an input 'foobar'
. Either ['foob', 'ar']
or ['fo', 'obar']
would seem a reasonable encoding. What's the best way to handle this situation? If we greedily encode the character sequence by iteratively finding the longest next subsequence in V can it be suboptimal (e.g. there is an encoding with fewer subwords or one that our language model knows better)?
natural-language-process language-model
natural-language-process language-model
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asked 4 mins ago
Gareth Ari AyeGareth Ari Aye
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Gareth Ari Aye is a new contributor. Be nice, and check out our Code of Conduct.
Gareth Ari Aye is a new contributor. Be nice, and check out our Code of Conduct.
Gareth Ari Aye is a new contributor. Be nice, and check out our Code of Conduct.
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