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Programming Assignment 2: A Greedy Decoder - Natural Language Processing, Exercises of Natural Language Processing (NLP)

Stanford UniversityNatural Language Processing (NLP)

Artificial Intelligence. Programming Assignment of Natural Language Processing, A Greedy Decoder. Prof Manning - Stanford University

Typology: Exercises

2010/2011

Uploaded on 11/03/2011

ilyastrab
ilyastrab ๐Ÿ‡บ๐Ÿ‡ธ

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๎˜‚๎˜ƒ๎˜„๎˜…๎˜†๎˜†๎˜‡๎˜ˆ๎˜ƒ๎˜‰๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ๎˜๎˜…๎˜‹๎˜Ž๎˜…๎˜๎˜๎˜๎˜‘๎˜’๎˜Ž๎˜ƒ๎˜‚๎˜“๎˜“๎˜‘๎˜Ž๎˜’๎˜๎˜†๎˜’๎˜”๎˜ƒ๎˜•
๎˜– ๎˜—๎˜‹๎˜๎˜†๎˜ƒ๎˜Š๎˜˜๎˜๎˜’๎˜Ž๎˜†๎˜“๎˜ƒ๎˜˜๎˜๎˜™๎˜†๎˜ƒ๎˜š๎˜†๎˜†๎˜’๎˜ƒ๎˜๎˜๎˜‡๎˜†๎˜ƒ๎˜”๎˜‹๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ๎˜๎˜‚๎˜•๎˜›๎˜ƒ๎˜œ๎˜Œ๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ž๎˜™๎˜†๎˜ƒ๎˜๎˜๎˜‡๎˜†๎˜ƒ๎˜Š๎˜˜๎˜๎˜’๎˜Ž๎˜†๎˜“๎˜ƒ๎˜”๎˜‹
๎˜”๎˜˜๎˜†๎˜“๎˜†๎˜ƒ๎˜Œ๎˜‘๎˜Ÿ๎˜†๎˜“ ๎˜ƒ!๎˜‹๎˜๎˜ƒ๎˜๎˜‘๎˜Ž๎˜˜๎˜”๎˜ƒ"๎˜๎˜’๎˜”๎˜ƒ๎˜”๎˜‹๎˜ƒ๎˜๎˜#๎˜†๎˜ƒ๎˜๎˜ƒ๎˜š๎˜๎˜Š#๎˜$๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜…๎˜ƒ%๎˜›&๎˜๎˜™๎˜๎˜ƒ๎˜Œ๎˜‘๎˜Ÿ๎˜†๎˜“๎˜ƒ๎˜š๎˜†๎˜Œ๎˜‹๎˜…๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Š๎˜‹$๎˜ˆ
๎˜”๎˜˜๎˜†๎˜ƒ๎˜’๎˜†"๎˜ƒ๎˜‹๎˜’๎˜†๎˜“๎˜ƒ๎˜‹๎˜™๎˜†๎˜…๎˜›
'๎˜‘๎˜Ÿ๎˜†๎˜“๎˜ƒ๎˜๎˜‡๎˜‡๎˜†๎˜‡(๎˜Š๎˜˜๎˜๎˜’๎˜Ž๎˜†๎˜‡๎˜ƒ๎˜‘๎˜’๎˜ƒ(๎˜๎˜Œ๎˜“(๎˜‘๎˜…(๎˜Š๎˜Ÿ๎˜๎˜“๎˜“(๎˜Š๎˜“๎˜•๎˜•)๎˜’($๎˜๎˜•(
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜„๎˜‡๎˜‡๎˜๎˜Ž๎˜Œ๎˜๎˜๎˜Œ๎˜‘๎˜‡๎˜†๎˜’๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜•๎˜๎˜‡๎˜‘๎˜๎˜ˆ๎˜–๎˜ƒ๎˜„๎˜…๎˜„
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜”๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜†๎˜’๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜–๎˜ƒ๎˜„๎˜…๎˜„
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜”๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜†๎˜—๎˜ˆ๎˜๎˜๎˜”๎˜˜๎˜’๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜–๎˜ƒ๎˜„๎˜…๎˜„
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜”๎˜๎˜‰๎˜“๎˜”๎˜๎˜ˆ๎˜†๎˜™๎˜˜๎˜š๎˜“๎˜‘๎˜›๎˜๎˜‡๎˜๎˜‡๎˜–๎˜ƒ๎˜„๎˜…๎˜„
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜๎˜๎˜‘๎˜ˆ๎˜๎˜‰๎˜‡๎˜†๎˜œ๎˜๎˜Ž๎˜œ๎˜‘๎˜„๎˜‘๎˜‡๎˜–๎˜ƒ๎˜„๎˜…๎˜„
๎˜‚ ๎˜ƒ๎˜„๎˜…๎˜„๎˜†๎˜‡๎˜ˆ๎˜‰๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜๎˜‘๎˜๎˜ž๎˜†๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜๎˜Œ๎˜‘๎˜–๎˜ƒ๎˜„๎˜…๎˜„
*+๎˜˜๎˜†๎˜ƒ๎˜‹๎˜Ÿ๎˜‡๎˜ƒ๎˜“๎˜”๎˜๎˜…๎˜”๎˜†๎˜…๎˜ƒ๎˜Š๎˜‹๎˜‡๎˜†๎˜ƒ๎˜‘๎˜“๎˜ƒ๎˜‘๎˜’ ๎˜†๎˜„ ๎˜‡๎˜†๎˜๎˜ˆ๎˜†๎˜‰๎˜ž๎˜„๎˜‡๎˜‡๎˜†๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜†๎˜š๎˜„๎˜Š๎˜†๎˜ƒ๎˜„๎˜…๎˜„๎˜–๎˜“๎˜ž๎˜” ๎˜‘๎˜’๎˜ƒ๎˜Š๎˜๎˜“๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜’๎˜†๎˜†๎˜‡๎˜ƒ๎˜”๎˜˜๎˜†๎˜,
๎˜– -$๎˜”๎˜‘๎˜‹๎˜’๎˜“๎˜ƒ๎˜๎˜‡๎˜‡๎˜†๎˜‡๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ.๎˜‰๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…+๎˜†๎˜“๎˜”.
๎˜– ./๎˜Ÿ๎˜"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”.๎˜ƒ0๎˜ƒ๎˜๎˜ƒ"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Ÿ๎˜‹๎˜Ž*1๎˜’๎˜Ž๎˜Ÿ๎˜‘๎˜“๎˜˜๎˜ƒ23๎˜ƒ$๎˜…๎˜‹๎˜š,๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜๎˜ƒ๎˜˜๎˜ˆ$๎˜‹๎˜”๎˜˜๎˜†๎˜“๎˜‘๎˜“๎˜›๎˜ƒ๎˜‰๎˜†๎˜Œ๎˜๎˜๎˜Ÿ๎˜”
4๎˜ƒ5๎˜›6
๎˜– ./๎˜”๎˜…๎˜๎˜’๎˜“"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”.๎˜ƒ0๎˜ƒ๎˜๎˜ƒ"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Ÿ๎˜‹๎˜Ž*7๎˜‹๎˜…๎˜‡๎˜‚๎˜Ÿ๎˜‘๎˜Ž๎˜’๎˜๎˜†๎˜’๎˜”๎˜ƒ$๎˜…๎˜‹๎˜š,๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜๎˜ƒ๎˜˜๎˜ˆ$๎˜‹๎˜”๎˜˜๎˜†๎˜“๎˜‘๎˜“
*๎˜“๎˜‹๎˜๎˜…๎˜Š๎˜† ๎˜ƒ๎˜”๎˜๎˜…๎˜Ž๎˜†๎˜”๎˜ƒ๎˜๎˜’๎˜‡๎˜ƒ๎˜๎˜Ÿ๎˜‘๎˜Ž๎˜’๎˜๎˜†๎˜’๎˜”,๎˜›๎˜ƒ๎˜‰๎˜†๎˜Œ๎˜๎˜๎˜Ÿ๎˜”๎˜ƒ4๎˜ƒ5๎˜›)
๎˜– ./๎˜Ÿ๎˜†๎˜’๎˜Ž๎˜”๎˜˜"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”.๎˜ƒ0๎˜ƒ๎˜๎˜ƒ"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”๎˜ƒ๎˜Œ๎˜‹๎˜…๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Ÿ๎˜†๎˜’๎˜Ž๎˜”๎˜˜*๎˜†,๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Œ๎˜‘๎˜’๎˜๎˜Ÿ๎˜ƒ๎˜“๎˜Š๎˜‹๎˜…๎˜†๎˜›๎˜ƒ+๎˜˜๎˜‘๎˜“๎˜ƒ๎˜‘๎˜“๎˜ƒ๎˜”๎˜‹
$๎˜…๎˜†๎˜™๎˜†๎˜’๎˜”๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…๎˜ƒ๎˜”๎˜‹๎˜ƒ$๎˜…๎˜†๎˜‡๎˜‘๎˜Š๎˜”๎˜ƒ๎˜…๎˜†๎˜๎˜Ÿ๎˜Ÿ๎˜ˆ๎˜ƒ๎˜“๎˜˜๎˜‹๎˜…๎˜”๎˜ƒ๎˜“๎˜†๎˜’๎˜”๎˜†๎˜’๎˜Š๎˜†๎˜ƒ๎˜‘๎˜’๎˜ƒ๎˜‹๎˜…๎˜‡๎˜†๎˜…๎˜ƒ๎˜”๎˜‹๎˜ƒ๎˜Ž๎˜†๎˜”๎˜ƒ๎˜˜๎˜‘๎˜Ž๎˜˜๎˜†๎˜…
23๎˜ƒ๎˜“๎˜Š๎˜‹๎˜…๎˜†๎˜›๎˜ƒ๎˜‰๎˜†๎˜Œ๎˜๎˜๎˜Ÿ๎˜”๎˜ƒ4๎˜ƒ8๎˜›5
๎˜– 19๎˜๎˜$๎˜Ÿ๎˜†๎˜ƒ๎˜๎˜“๎˜๎˜Ž๎˜†0
๎˜– '๎˜‘๎˜…๎˜“๎˜” ๎˜ƒ๎˜…๎˜๎˜’
๎˜–๎˜†๎˜ˆ๎˜๎˜Œ!๎˜”๎˜๎˜‰
!๎˜‹๎˜๎˜ž๎˜Ÿ๎˜Ÿ๎˜ƒ๎˜’๎˜‹๎˜”๎˜‘๎˜Š๎˜†๎˜ƒ๎˜”๎˜˜๎˜๎˜”๎˜ƒ๎˜”๎˜˜๎˜†๎˜…๎˜†๎˜ƒ๎˜๎˜…๎˜†๎˜ƒ๎˜Ÿ๎˜‹๎˜”๎˜“๎˜ƒ๎˜‹๎˜Œ๎˜ƒ.๎˜‘๎˜ˆ๎˜„๎˜Œ๎˜‡"๎˜š๎˜ˆ๎˜“#$!%๎˜Œ ๎˜๎˜Œ๎˜๎˜‘๎˜˜.๎˜ƒ๎˜‘๎˜’๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‹๎˜๎˜”$๎˜๎˜”๎˜›
๎˜œ๎˜”๎˜ž๎˜“๎˜ƒ๎˜š๎˜†๎˜Š๎˜๎˜๎˜“๎˜†๎˜ƒ๎˜”๎˜˜๎˜† ๎˜Ž๎˜๎˜‘๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜๎˜Œ๎˜‘&๎˜ˆ๎˜“# ๎˜๎˜†๎˜”๎˜˜๎˜‹๎˜‡๎˜ƒ๎˜‘๎˜’ '๎˜„๎˜‡๎˜๎˜ž๎˜๎˜Œ๎˜(๎˜“๎˜ˆ๎˜”๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜ˆ
๎˜๎˜Ÿ"๎˜๎˜ˆ๎˜“๎˜ƒ๎˜…๎˜†๎˜”๎˜๎˜…๎˜’๎˜ƒ5 ๎˜ƒ๎˜๎˜’๎˜‡๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ.๎˜‘๎˜ˆ๎˜„๎˜Œ๎˜‡"๎˜š๎˜ˆ๎˜“#.๎˜ƒ๎˜‘๎˜’๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‹๎˜๎˜”$๎˜๎˜”๎˜ƒ๎˜‘๎˜“๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Ÿ๎˜‹๎˜Ž๎˜๎˜…๎˜‘๎˜”๎˜˜๎˜๎˜‘๎˜Š๎˜ƒ๎˜‹๎˜Œ
๎˜Ž๎˜๎˜‘๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜๎˜Œ๎˜‘&๎˜ˆ๎˜“#๎˜›
๎˜– -๎˜’๎˜Š๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜˜๎˜๎˜™๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜…๎˜ƒ3๎˜‹๎˜‡๎˜†๎˜Ÿ๎˜ƒ8๎˜ƒ๎˜๎˜’๎˜‡๎˜ƒ3๎˜‹๎˜‡๎˜†๎˜Ÿ๎˜ƒ๎˜•๎˜ƒ๎˜๎˜Ÿ๎˜‘๎˜Ž๎˜’๎˜†๎˜…๎˜ƒ๎˜‘๎˜$๎˜Ÿ๎˜†๎˜๎˜†๎˜’๎˜”๎˜†๎˜‡ ๎˜ƒ๎˜”๎˜…๎˜ˆ๎˜ƒ๎˜…๎˜๎˜’๎˜’๎˜‘๎˜’๎˜Ž0
๎˜–๎˜†๎˜ˆ๎˜๎˜Œ!๎˜”๎˜๎˜‰"!)๎˜„๎˜๎˜“๎˜”๎˜๎˜ž"๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜–)๎˜“๎˜ˆ๎˜”๎˜„๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜ˆ๎˜–*๎˜“๎˜๎˜ˆ+๎˜“๎˜”๎˜๎˜ž,(๎˜“๎˜ˆ๎˜”๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜ˆ
๎˜–๎˜†๎˜ˆ๎˜๎˜Œ!๎˜”๎˜๎˜‰"!)๎˜„๎˜๎˜“๎˜”๎˜๎˜ž"๎˜‰๎˜‡๎˜Š๎˜Š๎˜‹๎˜Œ๎˜–)๎˜“๎˜ˆ๎˜”๎˜„๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜ˆ๎˜–*๎˜“๎˜๎˜ˆ+๎˜“๎˜”๎˜๎˜ž๎˜Š(๎˜“๎˜ˆ๎˜”๎˜Ÿ๎˜ž๎˜๎˜Ž๎˜Œ๎˜๎˜ˆ
๎˜– -๎˜๎˜”$๎˜๎˜”0
๎˜– ๎˜‚๎˜”๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜†๎˜’๎˜‡๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜†๎˜๎˜Š๎˜˜๎˜ƒ๎˜…๎˜๎˜’ ๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ž๎˜Ÿ๎˜Ÿ๎˜ƒ๎˜Ž๎˜†๎˜”๎˜ƒ๎˜’๎˜๎˜๎˜š๎˜†๎˜…๎˜“๎˜ƒ๎˜Ÿ๎˜‘#๎˜†๎˜ƒ๎˜”๎˜˜๎˜‘๎˜“0
(-.$"/๎˜–0,0123๎˜Š2122๎˜Š๎˜‹๎˜Š04
'5-6$"/๎˜–,,7๎˜‹21727๎˜‹742/2/๎˜‹
!!8"๎˜ž๎˜“๎˜Ž"9๎˜Ž๎˜ˆ๎˜„๎˜"๎˜œ๎˜‰๎˜“๎˜ˆ๎˜๎˜‡$"!/๎˜–1,4,๎˜Š42,,/,43,72๎˜†
!,๎˜–0,2304๎˜Š/347,/30,๎˜†!๎˜Š๎˜–0๎˜Š/,1,1,๎˜Š0/3/๎˜‹0๎˜†!7๎˜–71๎˜Š๎˜‹/4๎˜Š,4๎˜‹2๎˜Š4๎˜Š77
!!8"'&$"/๎˜–30,2/2341๎˜Š731๎˜Š04":๎˜ˆ๎˜ 5๎˜๎˜Œ;7,02๎˜–/<๎˜›๎˜˜๎˜š5๎˜๎˜Œ;๎˜Š412๎˜–/=
๎˜– -๎˜’๎˜Š๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜…๎˜ƒ7๎˜‹๎˜…๎˜‡๎˜ƒ๎˜‚๎˜Ÿ๎˜‘๎˜Ž๎˜’๎˜†๎˜…๎˜ƒ"๎˜‹๎˜…#๎˜“๎˜ƒ๎˜…๎˜†๎˜๎˜“๎˜‹๎˜’๎˜๎˜š๎˜Ÿ๎˜ˆ๎˜ƒ๎˜‹๎˜’๎˜ƒ๎˜‚1: ๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ž๎˜…๎˜† ๎˜…๎˜†;๎˜๎˜‘๎˜…๎˜†๎˜‡ ๎˜”๎˜‹๎˜ƒ๎˜Š๎˜‹๎˜$๎˜๎˜…๎˜†๎˜ƒ๎˜”๎˜˜๎˜†
$๎˜†๎˜…๎˜Œ๎˜‹๎˜…๎˜๎˜๎˜’๎˜Š๎˜†๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜…๎˜ƒ3๎˜‹๎˜‡๎˜†๎˜Ÿ๎˜ƒ8๎˜ƒ๎˜๎˜’๎˜‡๎˜ƒ3๎˜‹๎˜‡๎˜†๎˜Ÿ๎˜ƒ๎˜•๎˜ƒ๎˜‹๎˜’๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…๎˜ƒ"๎˜‘๎˜”๎˜˜๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Œ๎˜๎˜๎˜Ÿ๎˜”๎˜ƒ"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”๎˜“๎˜ƒ๎˜๎˜’๎˜‡
๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Œ๎˜๎˜๎˜Ÿ๎˜”๎˜ƒ23๎˜›๎˜ƒ-๎˜”๎˜˜๎˜†๎˜…๎˜ƒ๎˜”๎˜˜๎˜๎˜’๎˜ƒ๎˜”๎˜˜๎˜๎˜” ๎˜ƒ๎˜”๎˜˜๎˜†๎˜…๎˜†๎˜ƒ๎˜๎˜…๎˜†๎˜ƒ๎˜๎˜‹๎˜…๎˜†๎˜ƒ๎˜”๎˜˜๎˜‘๎˜’๎˜Ž๎˜“๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Š๎˜๎˜’๎˜ƒ๎˜”๎˜…๎˜ˆ0
๎˜– 1๎˜…๎˜…๎˜‹๎˜…๎˜ƒ๎˜๎˜’๎˜๎˜Ÿ๎˜ˆ๎˜“๎˜‘๎˜“๎˜ƒ๎˜‹๎˜Œ๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜Ž๎˜๎˜†๎˜“๎˜“๎˜†๎˜‡๎˜ƒ1๎˜’๎˜Ž๎˜Ÿ๎˜‘๎˜“๎˜˜๎˜ƒ๎˜“๎˜†๎˜’๎˜”๎˜†๎˜’๎˜Š๎˜†๎˜“๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Ž๎˜†๎˜”
๎˜– <๎˜“๎˜†๎˜ƒ๎˜‡๎˜‘๎˜Œ๎˜Œ๎˜†๎˜…๎˜†๎˜’๎˜”๎˜ƒ23๎˜“๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜‘๎˜$๎˜Ÿ๎˜†๎˜๎˜†๎˜’๎˜”๎˜ƒ๎˜‘๎˜’๎˜ƒ๎˜๎˜‚8
๎˜– +๎˜๎˜’๎˜†๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ=๎˜ƒ"๎˜†๎˜‘๎˜Ž๎˜˜๎˜”๎˜“๎˜ƒ๎˜”๎˜‹๎˜ƒ๎˜“๎˜†๎˜†๎˜ƒ"๎˜˜๎˜๎˜”๎˜ƒ๎˜‡๎˜‘๎˜Œ๎˜Œ๎˜†๎˜…๎˜†๎˜’๎˜”๎˜ƒ๎˜…๎˜†๎˜“๎˜๎˜Ÿ๎˜”๎˜“๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Ž๎˜†๎˜”
๎˜– :๎˜๎˜’๎˜ƒ๎˜‹๎˜’๎˜ƒ๎˜‡๎˜‘๎˜Œ๎˜Œ๎˜†๎˜…๎˜†๎˜’๎˜”๎˜ƒ๎˜Ÿ๎˜๎˜’๎˜Ž๎˜๎˜๎˜Ž๎˜†๎˜“
๎˜– 2๎˜‹๎˜‹#๎˜ƒ๎˜‘๎˜’๎˜”๎˜‹๎˜ƒ๎˜”๎˜˜๎˜†๎˜ƒ๎˜‡๎˜†๎˜Š๎˜‹๎˜‡๎˜†๎˜…๎˜ƒ๎˜๎˜’๎˜‡๎˜ƒ๎˜“๎˜†๎˜†๎˜ƒ๎˜‘๎˜Œ๎˜ƒ๎˜”๎˜˜๎˜†๎˜…๎˜†๎˜ž๎˜“๎˜ƒ๎˜๎˜’๎˜ˆ๎˜”๎˜˜๎˜‘๎˜’๎˜Ž๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Š๎˜๎˜’๎˜ƒ๎˜‡๎˜‹๎˜ƒ๎˜”๎˜‹๎˜ƒ๎˜‘๎˜$๎˜…๎˜‹๎˜™๎˜†๎˜ƒ๎˜‘๎˜”
*๎˜“$๎˜†๎˜†๎˜‡ ๎˜ƒ$๎˜†๎˜…๎˜Œ๎˜‹๎˜…๎˜๎˜๎˜’๎˜Š๎˜† ๎˜ƒ๎˜๎˜’๎˜ˆ๎˜”๎˜˜๎˜‘๎˜’๎˜Ž๎˜ƒ๎˜ˆ๎˜‹๎˜๎˜ƒ๎˜Œ๎˜‘๎˜’๎˜‡๎˜ƒ๎˜‘๎˜’๎˜”๎˜†๎˜…๎˜†๎˜“๎˜”๎˜‘๎˜’๎˜Ž, ๎˜ƒ๎˜†๎˜”๎˜Š๎˜›
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Download Programming Assignment 2: A Greedy Decoder - Natural Language Processing and more Exercises Natural Language Processing (NLP) in PDF only on Docsity!

Please note that some of the resources used in this assignment require

a Stanford Network Account and therefore may not be accessible.

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