20 citations · 43 across the 29 of their papers we have counts for
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cs.CL2017
Patterns versus Characters in Subword-aware Neural Language Modeling
Rustem Takhanov, Zhenisbek Assylbekov
Words in some natural languages can have a composite structure. Elements of this structure include the root (that could also be composite), prefixes and suffixes with which various…
cs.CC2017
On the induced problem for fixed-template CSPs
Rustem Takhanov
The Constraint Satisfaction Problem (CSP) is a problem of computing a homomorphism between two relational structures, where is defined over a…
cs.CL2017
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov +1
Syllabification does not seem to improve word-level RNN language modeling quality when compared to character-based segmentation. However, our best syllable-aware language model, ac…