Presentation is loading. Please wait.

Presentation is loading. Please wait.

Natural Language Processing

Similar presentations


Presentation on theme: "Natural Language Processing"— Presentation transcript:

1 Natural Language Processing
Lecture Notes 8 (Though most of this topic covered in class on the board)

2 Example PCFG

3 Ambiguous Sentence P(TL) = 1.5 x 10-6 P(TR) = 1.7 x 10-6
P(S) = 3.2 x 10-6

4 Lack of Sensitivity to the properties of individual Words
Lexical information can play an important role in selecting between alternative interpretations. Consider sentence: "Moscow sent soldiers into Afghanistan." NP → NP PP VP → VP PP These give rise to 2 parse trees

5 PP Attachment Ambiguity
33% of PPs attach to VPs 67% of PPs attach to NPs S VP NP NP NP VP VP PP S VP VP NP NP PP NP NP N V N P N Moscow sent soldiers into Afghanistan N V N P N Moscow sent soldiers into Afghanistan

6 Lexicalized Tree

7 Example (wrong)


Download ppt "Natural Language Processing"

Similar presentations


Ads by Google