30 citations · 92 across the 17 of their papers we have counts for
6 papers · 1 filter
KazNERD: Kazakh Named Entity Recognition Dataset
Rustem Yeshpanov, Yerbolat Khassanov, Huseyin Atakan Varol
We present the development of a dataset for Kazakh named entity recognition. The dataset was built as there is a clear need for publicly available annotated corpora in Kazakh, as w…
Independent language modeling architecture for end-to-end ASR
Van Tung Pham, Haihua Xu, Yerbolat Khassanov +5
The attention-based end-to-end (E2E) automatic speech recognition (ASR) architecture allows for joint optimization of acoustic and language models within a single network. However,…
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
Yerbolat Khassanov, Haihua Xu, Van Tung Pham +4
The lack of code-switch training data is one of the major concerns in the development of end-to-end code-switching automatic speech recognition (ASR) models. In this work, we propo…
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation
Yerbolat Khassanov, Zhiping Zeng, Van Tung Pham +2
The neural language models (NLM) achieve strong generalization capability by learning the dense representation of words and using them to estimate probability distribution function…
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham +3
Code-switching (CS) refers to a linguistic phenomenon where a speaker uses different languages in an utterance or between alternating utterances. In this work, we study end-to-end…
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR
Yerbolat Khassanov, Eng Siong Chng
In automatic speech recognition (ASR) systems, recurrent neural network language models (RNNLM) are used to rescore a word lattice or N-best hypotheses list. Due to the expensive t…