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DELTA: A DEep learning based Language Technology plAtform

2 August 2019
Kun Han
Junwen Chen
Hui Zhang
Haiyang Xu
Yiping Peng
Yun Wang
Ning Ding
Huiyuan Deng
Yonghu Gao
Tingwei Guo
Yi Zhang
Yahao He
Baochang Ma
Yulong Zhou
Kangli Zhang
Chao-Jung Liu
Ying Lyu
Chenxi Wang
Cheng Gong
Yunbo Wang
Wei Zou
Hui Song
Xiangang Li
    VLM
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Abstract

In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech processing problems. It integrates most popular neural network models for training as well as comprehensive deployment tools for production. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. We demonstrate the reliable performance with DELTA on several natural language processing and speech tasks, including text classification, named entity recognition, natural language inference, speech recognition, speaker verification, etc. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users.

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