Pkuseg: A toolkit for multi-domain chinese word segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural language
processing. In this paper, we build a new toolkit, named PKUSEG, for multi-domain word …
processing. In this paper, we build a new toolkit, named PKUSEG, for multi-domain word …
Advance research in agricultural text-to-speech: the word segmentation of analytic language and the deep learning-based end-to-end system
X Li, D Ma, B Yin - Computers and Electronics in Agriculture, 2021 - Elsevier
Abstract Agricultural Text-to-Speech (TTS) has attracted increasingly more attention. The
application of agricultural TTS and its problems are analyzed in this paper, and the …
application of agricultural TTS and its problems are analyzed in this paper, and the …
Improving Chinese word segmentation with wordhood memory networks
Contextual features always play an important role in Chinese word segmentation (CWS).
Wordhood information, being one of the contextual features, is proved to be useful in many …
Wordhood information, being one of the contextual features, is proved to be useful in many …
Neural word segmentation with rich pretraining
Neural word segmentation research has benefited from large-scale raw texts by leveraging
them for pretraining character and word embeddings. On the other hand, statistical …
them for pretraining character and word embeddings. On the other hand, statistical …
[PDF][PDF] Transition-based neural word segmentation
Character-based and word-based methods are two main types of statistical models for
Chinese word segmentation, the former exploiting sequence labeling models over …
Chinese word segmentation, the former exploiting sequence labeling models over …
Fast and accurate neural word segmentation for Chinese
Neural models with minimal feature engineering have achieved competitive performance
against traditional methods for the task of Chinese word segmentation. However, both …
against traditional methods for the task of Chinese word segmentation. However, both …
Subword encoding in lattice LSTM for Chinese word segmentation
We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize
words or subwords. It integrates the character sequence features with all subsequences …
words or subwords. It integrates the character sequence features with all subsequences …
Toward fast and accurate neural chinese word segmentation with multi-criteria learning
W Huang, X Cheng, K Chen, T Wang… - arXiv preprint arXiv …, 2019 - arxiv.org
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation
(CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to …
(CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to …
Chinese word segmentation: Another decade review (2007-2017)
This paper reviews the development of Chinese word segmentation (CWS) in the most
recent decade, 2007-2017. Special attention was paid to the deep learning technologies …
recent decade, 2007-2017. Special attention was paid to the deep learning technologies …
Improving semantic relevance for sequence-to-sequence learning of chinese social media text summarization
Current Chinese social media text summarization models are based on an encoder-decoder
framework. Although its generated summaries are similar to source texts literally, they have …
framework. Although its generated summaries are similar to source texts literally, they have …