Ciprian Chelba
Ciprian Chelba is a Research Scientist with Google. Previously he worked as a Researcher in the Speech Technology Group at Microsoft Research.
His research interests are in statistical modeling of natural language and speech. Recent projects include: Google Audio Indexing; indexing, ranking and snippeting of speech content; Language Modeling for Google Search by Voice, and Android IME predictive keyboard.
Authored Publications
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Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation
Wei Wang
The 57th Annual Meeting of the Association for Computational Linguistics (ACL2019)
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
Wei Wang
Taro Watanabe
Macduff Hughes
Tetsuji Nakagawa
Third Conference on Machine Translation (WMT18) (2018)
Language Modeling in the Era of Abundant Data
AI With the Best online conference. (2017)
Sparse Non-negative Matrix Language Modeling: Maximum Entropy Flexibility on the Cheap
The 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, pp. 2725-2729 (to appear)
