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1. Computers are increasingly being used for natural language processing.

2. The use of such techniques for language processing has traditionally been frowned upon by the linguistic community.

3. In recent years the use of statistics for language processing has regained support.

4. Language processing program includes: assembler,(Sentencedict) explain the program compiled program.

5. Coreference resolution plays an important role in natural language processing.

6. Anaphora resolution is a key step in Natural Language Processing (NLP) and a kernel task in many language engineering applications.

7. Automatic summarization is an important issue in natural language processing.

8. Maximum entropy model provides a natural language processing method, and proposes a structured program of medical text information combined with standard terminology for health care.

9. For automatic natural language processing, the words must be stemmed.

10. Literary language processing deserves its due attention in the current research atmosphere of Natural Language Processing ( NLP ) .

11. NLP ( Natural Language Processing ) is an important branch of Artificial Intelligence.

12. This increased activity continues for some seconds, longer than the time required for any language processing of that information.

13. This suggests that it is not only at the levels of syntactic and semantic analysis that language processing is interactive.

14. Why, then, have the majority of studies of normal adult language processing been concerned with language comprehension?

15. Computational questions have become central, not just in natural language processing applications, but also in theoretical discussions within linguistics.

16. This project accordingly plans to formalise and devise a computational implementation of Fodor-Sperber-Wilson assumptions about language and language processing.

17. There are four main areas of work, automated reasoning, intelligent robotics, knowledge based systems and speech and language processing.

18. Experiment results on MatLink indicate that it can reduce the complexity of syntactic analysis, and also improve the correct rate and analysis efficiency of nature language processing.

19. The representation and processing of verbal inflectional morphology has become the center of the debate on the nature of language processing.

20. This is an automated theorem prover for first-order and equational logic, used to support inference in language processing.

21. As a typical phenomenon in language, coreference entails vital attention to be resolved in nature language processing.

22. The automatic transcription, annotation and retrieval of broadcasting news requires automatic speech recognition, natural language processing and information retrieval technologies.

23. Open domain question answering (QA) represents a challenge of natural language processing, aiming at returning exact answers in response to natural language questions.

24. At the time of the rapid development of technology, the ambiguity problem has become one of the bottlenecks of natural language processing.

25. Word Segmentation is a fundamental problem of the Chinese Natural Language Processing.

26. The parsing technique is one of the key techniques in natural language processing.

27. Automatic alignment of parallel corpora is an important research subject in natural language processing area.

28. Identification of translingual equivalence of named entities is substantial to multilingual natural language processing.

29. The computer readable electronic dictionary is the foundation for all natural language processing, especially for the system of machine translation.

30. Word Sense Disambiguation ( WSD ) is a difficult issue in many fields of natural language processing, e.