Natural language processing

Natural language processing ( NLP ) is a subfield of computer science , information engineering , and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

Page Revisions

Year Metadata Sections Top Words First Paragraph
2018

74250 characters

11 sections

17 paragraphs

3 images

206 internal links

25 external links

1. History

2. Rule-based vs. statistical NLP

3. Major evaluations and tasks

4. See also

5. References

6. Further reading

7. External links

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parsing 0.109

Natural language processing ( NLP ) is a subfield of computer science , information engineering , and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

2017

69646 characters

11 sections

17 paragraphs

3 images

194 internal links

29 external links

1. History

2. Statistical natural language processing (SNLP)

3. Major evaluations and tasks

4. Natural language processing application program interfaces

5. See also

6. References

7. Further reading

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lehnert 0.121

Natural language processing ( NLP ) is a field of computer science, artificial intelligence concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language data.

2016

75143 characters

12 sections

20 paragraphs

3 images

212 internal links

16 external links

1. History

2. Using machine learning

3. Major tasks

4. Statistical

5. Evaluation

6. Standardization

7. See also

8. References

9. Further reading

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Natural language processing is a field of computer science , artificial intelligence , and computational linguistics concerned with the interactions between computers and human (natural) languages . As such, NLP is related to the area of human–computer interaction . Many challenges in NLP involve: natural language understanding , enabling computers to derive meaning from human or natural language input; and others involve natural language generation .

2015

77630 characters

13 sections

21 paragraphs

3 images

206 internal links

20 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization

7. Future

8. See also

9. References

10. Further reading

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Natural language processing ( NLP ) is a field of computer science , artificial intelligence , and computational linguistics concerned with the interactions between computers and human (natural) languages . As such, NLP is related to the area of human–computer interaction . Many challenges in NLP involve natural language understanding , that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation .

2014

70426 characters

13 sections

24 paragraphs

2 images

197 internal links

10 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization in NLP

7. The future of NLP

8. See also

9. References

10. Further reading

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Natural language processing ( NLP ) is a field of computer science , artificial intelligence , and linguistics concerned with the interactions between computers and human (natural) languages . As such, NLP is related to the area of human–computer interaction . Many challenges in NLP involve natural language understanding , that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation .

2013

57409 characters

13 sections

25 paragraphs

2 images

155 internal links

9 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization in NLP

7. The future of NLP

8. See also

9. References

10. Further reading

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Natural language processing ( NLP ) is a field of computer science , artificial intelligence , and linguistics concerned with the interactions between computers and human (natural) languages . As such, NLP is related to the area of human–computer interaction . Many challenges in NLP involve natural language understanding -- that is, enabling computers to derive meaning from human or natural language input.

2012

52528 characters

12 sections

23 paragraphs

1 images

148 internal links

9 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization in NLP

7. See also

8. References

9. Further reading

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Natural language processing ( NLP ) is a field of computer science , artificial intelligence , and linguistics concerned with the interactions between computers and human (natural) languages . As such, NLP is related to the area of human–computer interaction . Many challenges in NLP involve natural language understanding -- that is, enabling computers to derive meaning from human or natural language input.

2011

64784 characters

19 sections

27 paragraphs

2 images

176 internal links

8 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization in NLP

7. Journals

8. Organizations and conferences

9. Software tools

10. See also

11. References

12. External links

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Natural language processing ( NLP ) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages; it began as a branch of artificial intelligence. [1] In theory, natural language processing is a very attractive method of human–computer interaction . Natural language understanding is sometimes referred to as an AI-complete problem because it seems to require extensive knowledge about the outside world and the ability to manipulate it.

2010

62985 characters

21 sections

27 paragraphs

1 images

170 internal links

16 external links

1. History

2. NLP using machine learning

3. Major tasks in NLP

4. Statistical NLP

5. Evaluation of natural language processing

6. Standardization in NLP

7. Journals

8. Organizations and conferences

9. Software tools

10. See also

11. References

12. External links

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machine 0.097

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Natural language processing ( NLP ) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. [1] In theory, natural-language processing is a very attractive method of human-computer interaction . Natural language understanding is sometimes referred to as an AI-complete problem, because natural-language recognition seems to require extensive knowledge about the outside world and the ability to manipulate it.

2009

45796 characters

22 sections

16 paragraphs

2 images

115 internal links

15 external links

1. Tasks and limitations

2. Subproblems

3. Statistical NLP

4. Major tasks in NLP

5. Concrete problems

6. Evaluation of natural language processing

7. Standardization in NLP

8. Journals

9. Organizations and conferences

10. Software tools

11. See also

12. References

13. External links

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Natural language processing ( NLP ) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. Natural language generation systems convert information from computer databases into readable human language. Natural language understanding systems convert samples of human language into more formal representations such as parse trees or first-order logic structures that are easier for computer programs to manipulate. Many problems within NLP apply to both generation and understanding; for example, a computer must be able to model morphology (the structure of words) in order to understand an English sentence, and a model of morphology is also needed for producing a grammatically correct English sentence.

2008

45505 characters

23 sections

18 paragraphs

3 images

116 internal links

7 external links

1. Tasks and limitations

2. Subproblems

3. Statistical NLP

4. Major tasks in NLP

5. Concrete problems

6. Evaluation of natural language processing

7. Standardization in NLP

8. Journals

9. Organizations and conferences

10. Software tools

11. See also

12. References

13. External links

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campaign 0.098

understanding 0.095

syntactic 0.090

judges 0.084

Natural language processing ( NLP ) is a field of computer science concerned with the interactions between computers and human (natural) languages. Natural language generation systems convert information from computer databases into readable human language. Natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. Many problems within NLP apply to both generation and understanding; for example, a computer must be able to model morphology (the structure of words) in order to understand an English sentence, but a model of morphology is also needed for producing a grammatically correct English sentence.

2007

35698 characters

19 sections

15 paragraphs

2 images

95 internal links

4 external links

1. Tasks and limitations

2. Concrete problems

3. Subproblems

4. Statistical NLP

5. Major tasks in NLP

6. Evaluation of natural language processing

7. Standardization in NLP

8. Organizations and conferences

9. Software tools

10. See also

11. External links

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Natural language processing ( NLP ) is a subfield of artificial intelligence and computational linguistics . It studies the problems of automated generation and understanding of natural human languages .

2006

25600 characters

12 sections

7 paragraphs

0 images

64 internal links

45 external links

1. Tasks and limitations

2. Concrete problems

3. Subproblems

4. Statistical NLP

5. The major tasks in NLP

6. Evaluation of natural language processing

7. Organizations and Conferences

8. See also

9. External links

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Natural language processing (NLP) is a subfield of artificial intelligence and linguistics . It studies the problems of automated generation and understanding of natural human languages . Natural language generation systems convert information from computer databases into normal-sounding human language, and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate.

2005

15890 characters

9 sections

6 paragraphs

0 images

44 internal links

11 external links

1. Natural language processing

2. The major tasks in NLP

3. Some problems which make NLP difficult

4. Statistical NLP

5. See also

6. External links

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Natural language processing (NLP) is a subfield of artificial intelligence and linguistics . It studies the problems inherent in the processing and manipulation of natural language , and, natural language understanding devoted to making computers "understand" statements written in human languages .

2004

13884 characters

7 sections

8 paragraphs

0 images

38 internal links

6 external links

1. Natural language processing

2. The major tasks in NLP

3. Some problems which make NLP difficult

4. Statistical NLP

5. See also

6. External links

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Natural Language Processing (NLP) is a subfield of artificial intelligence and linguistics . It studies the problems inherent in the processing and manipulation of natural language , and, natural language understanding devoted to making computers "understand" statements written in human languages .

2003

4943 characters

2 sections

3 paragraphs

0 images

22 internal links

3 external links

1. See also

2. External links

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Natural Language Processing (NLP) is a subfield of artificial intelligence and linguistics . It studies the problems inherent in the processing and manipulation of natural language , but not, generally, natural language understanding .

2002

3566 characters

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3 paragraphs

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16 internal links

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Natural language processing is a subfield of artificial intelligence . It studies the problems inherent in the processing and manipulation of natural language , but not, generally, natural language understanding . It should not be confused with computational linguistics , which is in the domain of linguistics .

2001

861 characters

0 sections

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