Sentence examples for word segmentation from inspiring English sources

In Chinese phrases/sentences, there are three types of non-monosyllabic segments from the point of view of manual word segmentation: ridiculous segments, indivisible segments, and modest segments.

Human word segmentation errors will occur when the subjects try to cheat by segmenting randomly or make accidental mistakes.

MSER can be used to evaluate manual word segmentation results.

Fig. 3 Word segmentation for a single user comment.

Such as word segmentation and Part-of-Speech tagging.

One of the most critical prosodic cues for word segmentation is stress pattern.

Three experiments investigated the role of distal (i.e., nonlocal) prosody in word segmentation and lexical processing.

Our current study hence designs an MTurk-based experiment on word intuition, with the hope of constructing word segmentation resources to inform computational word segmentation in the future.

To perform word segmentation and POS tagging for normalized tweets, we used vnTokenizer3 of [20] for word segmentation and VnTagger4 of [24] for POS tagging.

And the probabilistic representation of word intuition in fact is even better suited as word segmentation standards given the predominance of stochastic models in computational word segmentation.

Given this definition, the optimal word segmentation result in Chinese NLP should reflect collective word intuition.