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Digital Textualities
News2Lyric
B-KUL-G0R06A
Anneleen Artois
Structure
Inspiration
News2Lyric
Functionality
Code
Demonstration
Future Research
Part I : Inspiration
Generative poetry is produced
by programming algorithms and
drawing from corpora to create
poetic lines. This is the oldest e-
poetic genre and remains
relevant today through e-literary
genres.
Interactive poetry
incorporates input from
the reader in the e-poem’s
expressive strategies.
(iloveepoetry.com, Flores)
(iloveepoetry.com, Flores)
Born-Digital Literature: Digital Poetry
Nick Monfort - Taroko Gorge (2009)
Part II : News2Lyric
- Rhyme
- Meter
- Stress
- Occurrence of certain words :
- Subject
- Verbs
- Content words ( = no stop words )
> Input = title
Structure
- ACL 2014 Ninth Workshop on Statistical Machine Translation: News
Crawl: articles from 2007
guinea_pig = (
[[False, True, False, True, False, True, False, True],
[False, True, False, True, False, True, False, True],
[False, True, False, True, False, True, False, True],
[False, True, False, True, False, True, False, True]],
[1, 1, 2, 2],
)
Jupyter
Notebook
A
Recapitulate…
Corpus
B
Title
Article : Body
API /
Text File
?
PoS +
Dependency
Parsing
from nltk.parse.stanford import
StanfordDependencyParser
from nltk.stem.porter import PorterStemmer
“This course has inspired me generating poetry”
[((u'thought', u'VBN'), u'nsubj', (u'course', u'NN')),
((u'course', u'NN'), u'det', (u'This', u'DT')),
((u'thought', u'VBN'), u'aux', (u'has', u'VBZ')),
((u'thought', u'VBN'), u'dep', (u'reading', u'VBG')),
((u'reading', u'VBG'), u'nsubj', (u'me', u'PRP')),
((u'reading', u'VBG'), u'dobj', (u'poetry', u'NN'))]
> subject: course, verb: inspired, verb: generating
> stop words
Title = Title
Poem
from nltk.corpus import cmudict
get_phonemes("hello"):
[[u'HH', u'AH0', u'L', u'OW1'],
[u'HH', u'EH0', u'L', u'OW1']]
et_phonemes("world"):
[[u'W', u'ER1', u'L', u'D']]
http://localhost:5000/
Web framework
Demonstration
Part III : Future Research
● Add Different Poem Structures
● API : Titles + Links to Articles
● Neural Net : Line + Phonetic Representation
● Topic Modeling : LDA (?)
● Current Topics
● More Interactive Interface
Questions ?

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Digital textualities news2lyric

  • 3. Part I : Inspiration Generative poetry is produced by programming algorithms and drawing from corpora to create poetic lines. This is the oldest e- poetic genre and remains relevant today through e-literary genres. Interactive poetry incorporates input from the reader in the e-poem’s expressive strategies. (iloveepoetry.com, Flores) (iloveepoetry.com, Flores) Born-Digital Literature: Digital Poetry
  • 4. Nick Monfort - Taroko Gorge (2009)
  • 5. Part II : News2Lyric - Rhyme - Meter - Stress - Occurrence of certain words : - Subject - Verbs - Content words ( = no stop words ) > Input = title
  • 6. Structure - ACL 2014 Ninth Workshop on Statistical Machine Translation: News Crawl: articles from 2007 guinea_pig = ( [[False, True, False, True, False, True, False, True], [False, True, False, True, False, True, False, True], [False, True, False, True, False, True, False, True], [False, True, False, True, False, True, False, True]], [1, 1, 2, 2], )
  • 8. A Recapitulate… Corpus B Title Article : Body API / Text File ? PoS + Dependency Parsing from nltk.parse.stanford import StanfordDependencyParser from nltk.stem.porter import PorterStemmer “This course has inspired me generating poetry” [((u'thought', u'VBN'), u'nsubj', (u'course', u'NN')), ((u'course', u'NN'), u'det', (u'This', u'DT')), ((u'thought', u'VBN'), u'aux', (u'has', u'VBZ')), ((u'thought', u'VBN'), u'dep', (u'reading', u'VBG')), ((u'reading', u'VBG'), u'nsubj', (u'me', u'PRP')), ((u'reading', u'VBG'), u'dobj', (u'poetry', u'NN'))] > subject: course, verb: inspired, verb: generating > stop words Title = Title Poem from nltk.corpus import cmudict get_phonemes("hello"): [[u'HH', u'AH0', u'L', u'OW1'], [u'HH', u'EH0', u'L', u'OW1']] et_phonemes("world"): [[u'W', u'ER1', u'L', u'D']] http://localhost:5000/ Web framework
  • 10.
  • 11. Part III : Future Research ● Add Different Poem Structures ● API : Titles + Links to Articles ● Neural Net : Line + Phonetic Representation ● Topic Modeling : LDA (?) ● Current Topics ● More Interactive Interface

Editor's Notes

  1. To give you a very broad idea about the concepts and building-stones of News2Lyric I would like to refer to the class Born-Digital literature: Digital Poetry in which we discussed concepts such as generative poetry and interactive poetry.
  2. More specifically, Taroko Gorge, a generative e-poem written in Python by Nick Monfort caught my attention. The main idea I like most about this poem generator is the fact that it is not only ever-changing but also very interactive. Hence, many people have been enabled to produce their own version of this project and to explore a wide range of different topics. And it is exactly the idea of putting a topic in a generated poem that originally catched my attention. However, generating a poem based on a topic out of scratch is not a trivial task. Therefore, I consider News2Lyric as a long-term project and what I will present to you today the baseline.
  3. News2Lyric is a corpus-based poetry generation system which uses templates to construct poems according to given constraints on rhyme, meter, stress and word frequency. The input of each poem is a news title from which the program retains information such as the subject and verb.
  4. Data : 2007-2013 First of all, data contains the corpus used. Since it is very hard to find good corpora with entire news texts, I used a corpus originally used for a machine translation contest containing different lines (in random order) from news texts. The corpus contains text files for the years 2007-2013, but we only used the year 2007. Furthermore, a small sample of contemporary news articles has been added. But, after using some of the scripts in the folder below, these data has been preprocessed in several ways News2lyric Contains the _init_ method and thus can be considered as a ‘library’. As such, code in this folder does not need to be re-written to be implemented in other systems. Structures: a structure is a two-tuple containing a list of stresses, list of rhyming lines Scripts Is an important directory since all scripts written in the library are put together to form a coherent whole. As you can see, we follow four important steps. First of all, we clean the corpus. Second of all, we build a ngrams index. This index coincides with the True-False-True-False (list of stresses) in our two-tuple. In a next step, we cluster the ngrams on their their final syllable ending so that lines which rhyme are stored in the same file. Finally, poems are produced. App.py The final result is app.py where we import Flask, a frame-work for python (such as Django) for web-development. This means the final result is to be admired in the browser.
  5. API: Application Programming Interface
  6. API: Application Programming Interface