Natural Language Processing at TU München

Flashcards and summaries for Natural Language Processing at the TU München

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Study with flashcards and summaries for the course Natural Language Processing at the TU München

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

How do you describe ranges with regular expressions?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

How would you search for not [A-Z] (negation)?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

Types of expressions

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Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

Wie schreibt man mittels disjunction Woodchuck or woodchuck?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

How can you write "h! or oh! or ooh!" with regular expressions?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

How can you specify one or more of previous char or expr with regular expressions?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

If you want to specify how often (min and max) a char needs to appear, which expression do you need?

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Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

What is the advantage of NN over SVM?

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Which expression do you need to search for any char?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

What dies normalizing a text mean?

Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

How would someone disjunct two word like yours or mine?

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Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

Which qunatifier do you need to describe an optional char, that could be used to search for both color and colour?

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Exemplary flashcards for Natural Language Processing at the TU München on StudySmarter:

Natural Language Processing

How do you describe ranges with regular expressions?

With the minus symbol [ -­‐ ]:

[A-Z] an upper case letter

Natural Language Processing

How would you search for not [A-Z] (negation)?

caret: [^ ]: negation (if first in [ ]):

[^A-Z] not an upper case letter

Natural Language Processing

Types of expressions

  • disjunction of letters: []
  • ranges: [ - ]
  • negation: [^ ] (if first in [])
  • disjunction: |
  • quantifiers (for counting); wildcards: ? * + { } .
  • anchors: ^ $ \b \B

Natural Language Processing

Wie schreibt man mittels disjunction Woodchuck or woodchuck?

[wW]oodchuck

Natural Language Processing

How can you write "h! or oh! or ooh!" with regular expressions?

o*h!

*: zero or more of previous char or expr

Natural Language Processing

How can you specify one or more of previous char or expr with regular expressions?

Using the + qunatifier:

o+h! --> oh! or ooh! or oooh! ...

Natural Language Processing

If you want to specify how often (min and max) a char needs to appear, which expression do you need?

{min, max}:

a{3,5} --> aaa or aaaa or aaaaa

Natural Language Processing

What is the advantage of NN over SVM?

SVM classification efficieny decreases with increase in training data.

Natural Language Processing

Which expression do you need to search for any char?

The dot .?

beg.n --> begin or begun or beg3n ...

Natural Language Processing

What dies normalizing a text mean?

Normalizing text means converting it
to a more convenient, standard form. For example, most of what we are going to
do with language relies on first separating out or tokenizing words from running
text, the task of tokenization.

Natural Language Processing

How would someone disjunct two word like yours or mine?

With a |:

yours|mine

Natural Language Processing

Which qunatifier do you need to describe an optional char, that could be used to search for both color and colour?

The ? (optional previous char or expr) qunatifier:

colou?r

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