Sentence examples for many natural language from inspiring English sources

Part-of-speech tagging is an important preprocessing step in many natural language processing applications.

Word feature vectors have been proven to improve many natural language processing tasks.

It is a nontrivial task to perform sentiment analysis as sentiment information is crucial in many natural language processing applications.

In contrast with this, however, many natural language predicates appear to be multigrade or variably polyadic; they can be true of various numbers of things.

Text representations is a key task for many natural language processing applications such as document classification, ranking, sentimental analysis and so on.

Word sense induction (WSI) is important to many natural language processing tasks because word sense ambiguity is pervasive in linguistic expressions.

In fact, many "natural" languages, especially their written forms, can be regarded as artifacts.

Though there are many natural languages there is but one set of rules of logic, and on the other hand different languages have different rules of grammar.

A fundamental observation in many natural languages is the existence of a power law relationship between the rank order of word usage and the absolute frequency.

A fundamental observation in many natural languages is the existence of a power law relationship between the rank order of word usage and the absolute frequency with which particular words are uttered.

As in many other natural language processing (NLP) fields, the use of statistical methods is now part of mainstream natural language generation (NLG).