Word segmentation is the task of inserting or deleting word boundary characters in order to
separate character sequences that correspond to words in some language. In this article we …

Character-based and word-based methods are two main types of statistical models for
Chinese word segmentation, the former exploiting sequence labeling models over …

Word segmentation is an essential task in automatic language processing for languages
where there are no explicit word boundary markers, or where space-delimited orthographic …

This article proposes ESA, a new unsupervised approach to word segmentation. ESA is an
iterative process consisting of 3 phases: Evaluation, Selection, and Adjustment. In …

Character-based and word-based methods are two different solutions for Chinese word
segmentation, the former exploiting sequence labeling models over characters and the latter …

Neural network models have been actively applied to word segmentation, especially
Chinese, because of the ability to minimize the effort in feature engineering. Typical …

This paper presents a Chinese word segmentation system which can adapt to different
domains and standards. We first present a statistical framework where domain-specific …

In this paper we introduce a feature-based neural language model, which is trained to
estimate the probability of an element given its previous context features. In this way our …

We present a theoretical and empirical comparative analysis of the two dominant categories
of approaches in Chinese word segmentation: word-based models and character-based …

Recently, many neural network models have been applied to Chinese word segmentation.
However, such models focus more on collecting local information while long distance …