natural language processing

USAGE SUMMARY

"natural language processing" is correct and usable in written English.
You can use this term when referring to the practice of teaching machines to understand human languages, such as for artificial intelligence applications. For example: "Recent advancements in natural language processing have enabled computers to understand human speech with incredible accuracy."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Others include natural language processing and robotic process automation, cited by 45% and 30%, respectively.

Forbes

Natural language processing is a necessary prerequisite for this process.

BMC Medical Informatics and Decision Making

Fields: machine learning, natural language processing.

Stanford University

Evaluating UMLS strings for natural language processing.

Harvard University

Research Area: Machine learning, natural language processing.

Princeton University

The technical jargon for it is natural language processing (NLP).

The Guardian

One is to give the computer natural language processing capabilities.

MIT Technology Review

The program relies heavily on natural language processing.

The New York Times - Health

She is interested in natural language processing and machine learning.

University of California, Berkeley

A maximum entropy approach to natural language processing.

Massachusetts Institute of Technology

Extensive laboratory work on building natural language processing systems.

Massachusetts Institute of Technology

Expert writing Tips

Best practice

When writing about "natural language processing", specify the application or context to provide clarity, such as healthcare, finance, or customer service.

Common error

Avoid implying that "natural language processing" equates to general artificial intelligence. NLP is a specific subfield focused on language, not a broad solution for all AI challenges.

Linguistic Context

The phrase "natural language processing" functions primarily as a noun phrase. It refers to a specific field of study within computer science and linguistics. As Ludwig AI confirms, it is a well-established and grammatically sound term.

Expression frequency: Very common

Frequent in

Academia

32%

News & Media

35%

Science

33%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "natural language processing" is a noun phrase referring to a field within computer science and linguistics focused on enabling computers to understand and process human language. Ludwig AI confirms its grammatical correctness and usability. It is very commonly used in academic, news, and scientific contexts. When using the phrase, consider the specific application or context to ensure clarity. Avoid implying it is equivalent to general AI. Related terms include NLP, computational linguistics, and human language technology.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

NLP

This is an acronym for "natural language processing".

Language processing

A more general term encompassing various methods of handling language data.

Human language technology

Emphasizes the technological aspect of processing human language.

Computational linguistics

Focuses on the computational modeling of human language.

Automated language analysis

Focuses on the automation of language analysis tasks.

Language understanding

Highlights the comprehension aspect of machine processing.

Text analytics

Involves the process of deriving high-quality information from text.

Semantic analysis

Involves understanding the meaning and interpretation of language.

Speech recognition

Focuses on enabling machines to recognize spoken language.

Machine translation

Deals with automatically translating text from one language to another.

FAQs

How can I use "natural language processing" in a sentence?

"Natural language processing" can be used to describe the technology behind chatbots, language translation tools, and sentiment analysis systems.

What's the difference between "natural language processing" and machine learning?

"Natural language processing" is a field focused on enabling computers to understand and process human language, while machine learning is a broader field focused on enabling computers to learn from data without explicit programming. NLP often uses machine learning techniques.

Is "natural language processing" the same as artificial intelligence?

"Natural language processing" is a subfield of artificial intelligence that deals specifically with enabling computers to understand, interpret, and generate human language.

What are some real-world applications of "natural language processing"?

Some applications of "natural language processing" include machine translation, sentiment analysis, chatbot development, and speech recognition.