DELTA: A DEep learning based Language Technology plAtform
Yunbo Wang Haiyang Xu Hui Song Chenxi Wang Hui Zhang Yahao He Cheng Gong Baochang Ma Wei Zou Ning Ding Kangli Zhang Ying Lyu Yi Zhang Tingwei Guo Yiping Peng Kun Han Hui Deng Yun Wang Chao Liu Yonghu Gao Junwen Chen Xiangang Li Yulong Zhou
作者信息
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.引用本文复制引用
Yunbo Wang,Haiyang Xu,Hui Song,Chenxi Wang,Hui Zhang,Yahao He,Cheng Gong,Baochang Ma,Wei Zou,Ning Ding,Kangli Zhang,Ying Lyu,Yi Zhang,Tingwei Guo,Yiping Peng,Kun Han,Hui Deng,Yun Wang,Chao Liu,Yonghu Gao,Junwen Chen,Xiangang Li,Yulong Zhou.DELTA: A DEep learning based Language Technology plAtform[EB/OL].(2019-08-01)[2026-04-03].https://arxiv.org/abs/1908.01853.学科分类
计算技术、计算机技术
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