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05/16/2023
Application-Agnostic Language Modeling for On-Device ASR
On-device automatic speech recognition systems face several challenges c...
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10/21/2022
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation
Code-switching describes the practice of using more than one language in...
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06/16/2021
On the long-term learning ability of LSTM LMs
We inspect the long-term learning ability of Long Short-Term Memory lang...
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02/14/2021
Error-driven Pruning of Language Models for Virtual Assistants
Language models (LMs) for virtual assistants (VAs) are typically trained...
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09/09/2019
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?
Natural language processing (NLP) tasks tend to suffer from a paucity of...
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09/24/2018
Information-Weighted Neural Cache Language Models for ASR
Neural cache language models (LMs) extend the idea of regular cache lang...
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05/11/2018
State Gradients for RNN Memory Analysis
We present a framework for analyzing what the state in RNNs remembers fr...
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09/12/2017
Language Models of Spoken Dutch
In Flanders, all TV shows are subtitled. However, the process of subtitl...
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04/10/2017