Sentence examples for word characteristics from inspiring English sources

Research on the Chinese language requires reliable information about word characteristics, so that the stimulus materials can be manipulated and controlled properly.

In addition, the word characteristics of transparency and opaqueness are important in determining a reader's awareness of the morphological structure of words (Carlisle, 2000, 2003; Carlisle & Stone, 2005).

Not surprisingly, explicit manipulation of each of these word characteristics also leads to modulation of activation within the word reading network (Carreiras et al., 2006, Hauk et al., 2008, Woollams et al., 2011).

Analysis of the anterior N2, LPN and P3 components suggests a dynamic analysis of word feature characteristics, which could be summarized as follows: at about 200 250 ms over the left fronto-central area, pseudo-words were discriminated from more word-like stimuli, resulting in a greater anterior negativity to pseudo-words as the earliest lexical effect.

We found that, the aforementioned click-word characteristics were largely applicable to those positively weighted Word features.

However, if we represent a click-word in the context of all the features that we defined above, our proposed model can make a prediction based on the learned click-word characteristics (e.g. a word's semantic type) in addition to the word itself, making it much more robust when handling new/unseen words.

Lastly, lexical features are associated with word-level characteristics such as word frequency, vocabulary richness, frequency, word length distribution, etc. [13].

In a word, the characteristics of ZnO and graphene were confirmed by the Raman spectrum.

The first configures the structure and processes of political representation and government functions: in a word, the characteristics of democratic politics.

If participants were actually attributing the meaning of the adjectives to their partners to guide their decisions, those words denoting characteristics closely linked to moral and trustworthy personalities should have a larger effect on acceptance rates than words without such associations.

Visualized this way, a word's characteristic color never changes, making it easy to remember and recognize.