Search Results - Strope, Brian

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  1. 1
    Language model capitalization

    Language model capitalization by Beaufays, Francoise, Strope, Brian

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  2. 2
    Deploying GOOG-411: Early lessons in data, measurement, and testing

    Deploying GOOG-411: Early lessons in data, measurement, and testing by Bacchiani, M., Beaufays, F., Schalkwyk, J., Schuster, M., Strope, B.

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  3. 3
    Distributed discriminative language models for Google voice-search

    Distributed discriminative language models for Google voice-search by Jyothi, P., Johnson, L., Chelba, C., Strope, B.

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  4. 4
    Recognition of multilingual speech in mobile applications

    Recognition of multilingual speech in mobile applications by Hui Lin, Jui-ting Huang, Beaufays, F., Strope, B., Yun-hsuan Sung

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  5. 5
    Recognizing English queries in Mandarin Voice Search

    Recognizing English queries in Mandarin Voice Search by Hung-An Chang, Yun-Hsuan Sung, Strope, Brian, Beaufays, Francoise

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  6. 6
    Revisiting graphemes with increasing amounts of data

    Revisiting graphemes with increasing amounts of data by Yun-Hsuan Sung, Hughes, T., Beaufays, F., Strope, B.

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  7. 7
    Automatic training set segmentation for multi-pass speech recognition

    Automatic training set segmentation for multi-pass speech recognition by Mao, M.Z., Vanhoucke, V., Strope, B.

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  8. 8
    Modeling auditory perception to improve robust speech recognition

    Modeling auditory perception to improve robust speech recognition by Strope, Brian, Alwan, Abeer

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  9. 9
    Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model

    Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model by Chidambaram, Muthuraman, Yang, Yinfei, Cer, Daniel, Yuan, Steve, Yun-Hsuan Sung, Strope, Brian, Kurzweil, Ray

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  10. 10
    Optimizing acoustic models for commercial speech recognition using foreground scores and data weighting

    Optimizing acoustic models for commercial speech recognition using foreground scores and data weighting by Boies, D., Strope, B., Weintraub, M., Su-Lin Wu

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  11. 11
    Hierarchical Document Encoder for Parallel Corpus Mining

    Hierarchical Document Encoder for Parallel Corpus Mining by Guo, Mandy, Yang, Yinfei, Stevens, Keith, Cer, Daniel, Ge, Heming, Yun-Hsuan Sung, Strope, Brian, Kurzweil, Ray

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  12. 12
    Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax

    Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax by Yang, Yinfei, Gustavo Hernandez Abrego, Yuan, Steve, Guo, Mandy, Shen, Qinlan, Cer, Daniel, Yun-hsuan Sung, Strope, Brian, Kurzweil, Ray

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  13. 13
    Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models

    Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models by Shao, Louis, Gouws, Stephan, Britz, Denny, Goldie, Anna, Strope, Brian, Kurzweil, Ray

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  14. 14
    Multilingual Universal Sentence Encoder for Semantic Retrieval

    Multilingual Universal Sentence Encoder for Semantic Retrieval by Yang, Yinfei, Cer, Daniel, Amin, Ahmad, Guo, Mandy, Law, Jax, Constant, Noah, Gustavo Hernandez Abrego, Yuan, Steve, Tar, Chris, Yun-Hsuan Sung, Strope, Brian, Kurzweil, Ray

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  15. 15
    Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

    Effective Parallel Corpus Mining using Bilingual Sentence Embeddings by Guo, Mandy, Shen, Qinlan, Yang, Yinfei, Ge, Heming, Cer, Daniel, Gustavo Hernandez Abrego, Stevens, Keith, Constant, Noah, Yun-Hsuan Sung, Strope, Brian, Kurzweil, Ray

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  16. 16
    Conversational Contextual Cues: The Case of Personalization and History for Response Ranking

    Conversational Contextual Cues: The Case of Personalization and History for Response Ranking by Al-Rfou, Rami, Pickett, Marc, Snaider, Javier, Yun-hsuan Sung, Strope, Brian, Kurzweil, Ray

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  17. 17
    Contextual LSTM (CLSTM) models for Large scale NLP tasks

    Contextual LSTM (CLSTM) models for Large scale NLP tasks by Ghosh, Shalini, Vinyals, Oriol, Strope, Brian, Roy, Scott, Dean, Tom, Heck, Larry

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  18. 18
    Efficient Natural Language Response Suggestion for Smart Reply

    Efficient Natural Language Response Suggestion for Smart Reply by Henderson, Matthew, Al-Rfou, Rami, Strope, Brian, Yun-hsuan Sung, Lukacs, Laszlo, Guo, Ruiqi, Kumar, Sanjiv, Balint Miklos, Kurzweil, Ray

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  19. 19
    Learning Semantic Textual Similarity from Conversations

    Learning Semantic Textual Similarity from Conversations by Yang, Yinfei, Yuan, Steve, Cer, Daniel, Sheng-yi, Kong, Constant, Noah, Petr, Pilar, Ge, Heming, Yun-Hsuan Sung, Strope, Brian, Kurzweil, Ray

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  20. 20
    A model of dynamic auditory perception and its application to robust word recognition

    A model of dynamic auditory perception and its application to robust word recognition by Strope, B., Alwan, A.

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