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31. Word sense tagging is one of the most difficult problem in natural language processing.

32. QA is a high level application of natural language processing.

33. Finding base noun phrase is very important in the field of natural language processing.

34. They reflect the development and evolution trend of lexics,(http://sentencedict.com/language processing.html) become concerns of Linguistics and make big challenge to Natural Language Processing.

35. Chinese word distinguishing is one of the differences between chinese processing and alphabetic writing language processing.

36. Japanese syntactic analysis is the kernel content in natural language processing and machine translation.

37. Natural language interface is one of the most hopeful fields in the research on Natural Language Processing.

38. During the past half century the development of Natural Language Processing has involved such courses as mechanical translation, Natural Language Understanding, and Information Retrieval.

39. But the left planum temporale also plays an important role in language processing.

40. The goal is to build the natural language processing and text mining platform in Tencent.

41. The Chinese semantic knowledge base system is a very important part of language knowledge engineering of Chinese semantic resource in natural language processing.

42. Particular areas of interest are formal language processing, including compilers, development environments, visualization tools, reverse engineering, verification, repositories and Web portals.

43. The representation and application of semantic knowledge is an important factor for Natural Language Processing (NLP).

44. Speech recognition and natural language processing are technologies still in their infancy.

45. In the field of Natural Language Processing, one important way of acquiring semantic information is Semantic Role labelling (SRL).

46. Word sense tagging has always been important in natural language processing.

47. Morphological analysis is the foundation task for most natural language processing.

48. The representation and application of semantic knowledge is an important factor for Natural Language Processing.

49. We report experiments on song lyrics based on natural language processing techniques.

50. Word sense disambiguation is one of the difficult problems in natural language processing.

51. Through a series of large-scale evaluations, TDT has become a hot problem for worldwide research in the fields of natural language processing, especially in information retrieval.

52. Natural language interface is one of the most hopeful applied fields in the research on Natural Language Processing.

53. In addition, proper names recognition give prop to the natural language processing in the field of information extraction, question answering system and so on.

54. It results from the ignorance of the influence of the linear syntagmatic relationship and horizontal paradigmatic relationship on language construction in language processing.

55. The quantitative research of semantic relation between words is an essential subtask for some natural language processing task.

56. Due to the uncertainty of the natural language meaning and difficulties of the semantic formalization, semantic processing becomes the key problem of Natural Language Processing.

57. These types of systems include advanced natural language processing systems that can discover new terms and relationships by analyzing content (such as document text in ECM systems).

58. Areas of emphasis include: artificial intelligence, natural language processing, and pattern and voice recognition.

59. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing...

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