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13 results for “POETICS”
Rhyme analysis of Ukrainian Ballads: Towards a Computational Poetics
<p>This dataset is based on the folklore collection <em>Folk songs of Khmelnytsky region</em> (Iefremova & Dmytrenko, 2014). The text corpus includes 200 ballads in Ukrainian language. Ballads collected in the period between 1918 and 2010. There are 9125 ballad lines in the table; 40543 tokens.</p> <p>To analyze the rhyming and rhythmic elements of the text corpus of Khmelnytsky region ballads, the programming language R along with RStudio was used. Code written for text analysis in Estonian Literary Museum. </p> <p><br>This dataset consist of such files:</p> <ul> <li><strong>ballads_corpus_Khmelnytsky region</strong>: contains text data of Khmelnytsky region ballads in CSV;</li> <li><strong>stanza+syllables</strong>: R script to analyse the stanzas types and to calculate the number of syllables in each line;</li> <li><strong>finals in lines+POS analysis</strong>: R script to analyse the rhyme scheme by determine the final syllable in a line, and to do the PoS tags analysis of the rhyme;</li> <li><strong>rhyme_schemes:</strong> R script to analyze the distribution of rhyme schemes in Khmelnytsky region ballads;</li> <li><strong>ballads_corpus_POS:</strong> CSV file containing the text data of Khmelnytsky region ballads with part-of-speech (PoS) tags for the final word in each line;</li> <li><strong>rhyme_by_PoS:</strong> R script to analyze the distribution of rhymes by part of speech across the ballads;</li> <li><strong>ballads_fin_str</strong>: contains text data of Khmelnytsky region ballads with marked stress position in the last word in each line (in CSV);</li> <li><strong>rhyme_stressed_position</strong>: R script to analyse rhyme by stress position.</li> </ul>
Dataset of limericks for computational poetics
<p>Herein is a data set comprising 98k limericks scraped from the <a href="https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.oedilf.com%2Fdb%2FLim.php&data=04%7C01%7CAlmas.Abdibayev.GR%40dartmouth.edu%7Cbeec80009bb9495ff7d508d97dbaeb72%7C995b093648d640e5a31ebf689ec9446f%7C0%7C0%7C637679064035896909%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=w4m26CuFXTpPdOl455RGF%2Bt5naG8Jb7Nt2mStXHvIms%3D&reserved=0">The Omnificent English Dictionary In Limerick Form - OEDILF</a>. It is a subset of the full data set, filtered to pass a basic test of standard limerick form (i.e., ensuring five lines, no emojis, no symbols). Each limerick was written by a human contributor whose work has passed through a rigorous moderation. This dataset is released alongside two companion papers: "BPoMP: The Benchmark of Poetic Minimal Pairs – Limericks, Rhyme, and Narrative Coherence" (Abdibayev, Riddell, Rockmore, RANLP 2021) and "Automating the Detection of Poetic Features: The Limerick as Model Organism" (Abdibayev, Riddell, Igarashi, Rockmore, SIGHUM 2021). The dataset is primarily released for use by NLP researchers interested in studying formal structure of poetry and more generally, interested in computational poetics. Each limerick is accompanied by metadata: author information, id within the website and "is_limerick" field, which denotes if limerick was recognized by our custom filter that was built to check for formal limerick properties (this tagging was a goal of the SIGHUM paper and reflects the results reported there - see the paper for details). Thus, if "is_limerick"=True this is a true positive, "is_limerick"=False is (almost surely) a false negative. We identify 70% of these as limericks and provide the tagging as a benchmark for the community to improve upon. With these considerations in mind we hope that NLP community will use this dataset to study poetical knowledge of language models trained on large corpora as many of their properties still remain a mystery to the community at large. We are excited for the possibilities ahead!</p> <p><strong>UPDATE</strong>: we released a new version of our dataset that contains all of the limericks that we planned to publish. Previous version (v2) was created using code that contained a bug which in turn lowered the number of available limericks.</p>
Hachidaishu Classical Japanese Poetic Vocabulary Dataset
<h1>Hachidaishu classical Japanese poetic vocabulary dataset</h1> <h2>Hilofumi Yamamoto, Ph.D. (Institute of Science Tokyo)</h2> <h2>Bor Hodošček, D.Engineering (The University of Osaka)</h2> <h3>Data offset</h3> <p>Example: # 1 Kokinshu</p> <pre><code>01:000001:0001 A00 BG-01-1630-01-0100 02 年 年 とし 年 とし 01:000001:0001 A10 BG-01-1911-03-1800 02 年 年 とし 年 とし 01:000001:0002 A00 BG-08-0061-07-0100 61 の の の の の 01:000001:0003 A00 BG-01-1770-01-0300 02 内 内 うち 内 うち 01:000001:0004 A00 BG-08-0061-05-0100 61 に に に に に 01:000001:0005 A00 BG-01-1624-02-0100 02 春 春 はる 春 はる 01:000001:0006 A00 BG-08-0065-07-0100 65 は は は は は 01:000001:0007 A00 BG-02-1527-01-0102 47 き 来 く 来 き 01:000001:0008 A00 BG-03-1200-02-0900 74 に ぬ ぬ に に 01:000001:0008 A10 BG-09-0010-01-0101 74 に ぬ ぬ に に 01:000001:0008 A20 BG-09-0010-03-0200 74 に ぬ ぬ に に 01:000001:0009 A00 BG-09-0010-04-0300 74 けり けり けり けり けり 01:000001:0010 B00 BG-01-1950-14-0100 02 一とせ 一年 ひととせ 一年 ひととせ 01:000001:0010 C00 BG-01-1950-01-0300 19 一 一 いち 一 いち 01:000001:0010 C01 BG-01-1630-01-0100 02 年 年 とし 年 とし 01:000001:0011 A00 BG-08-0061-10-0100 61 を を を を を 01:000001:0012 A00 BG-01-1642-02-0100 02 こそ 去年 こぞ 去年 こぞ 01:000001:0013 A00 BG-08-0061-04-0100 61 と と と と と 01:000001:0014 A00 BG-08-0065-14-0100 65 や や や や や 01:000001:0015 A00 BG-02-3120-01-0100 47 いは 言ふ いふ 言は いは 01:000001:0016 A00 BG-03-3012-03-2600 74 ん む む む む 01:000001:0016 A10 BG-09-0010-02-0102 74 ん む む む む 01:000001:0017 B00 BG-01-1641-02-0100 02 ことし 今年 ことし 今年 ことし 01:000001:0017 C00 BG-03-1000-01-0100 57 この この この この この 01:000001:0017 C01 BG-01-1630-01-0100 02 年 年 とし 年 とし 01:000001:0018 A00 BG-08-0061-04-0100 61 と と と と と 01:000001:0019 A00 BG-08-0065-14-0100 65 や や や や や 01:000001:0020 A00 BG-02-3120-01-0100 47 いは 言ふ いふ 言は いは 01:000001:0021 A00 BG-03-3012-03-2600 74 ん む む む む 01:000001:0021 A10 BG-09-0010-02-0102 74 ん む む む む </code></pre> <h3>A line consists of 7 columns separated by spaces.</h3> <pre><code>01:000001:0007 A00 BG-02-1527-01-0102 47 き 来 く 来 き </code></pre> <ul> <li>1st column "01:000001:0007" consists of 3 fields: 1) anthology, 2) number of poem, and 3) serial ID of the token. The anthology ID indicates respectively: 01..Kokinshu, 02..Gosenshu, 03..Shuishu, 04..Goshuishu, 05..Kin'yoshu, 06..Shikashu, 07..Senzaishu, and 08..Shinkokinshu.</li> <li>2nd column indicates type of token: A type is a single token; B type is a compound token; C type is a breakdown of B type. A00 indicates a single token; A01 indicates a single token and has another meaning; B00 indicates a compound token; B01 indicates a compound token which has another meaning; C00 indicates the first element of the B00/B01.. breakdown; C01 indicates the second element of the B00/B01.. breakdown.</li> <li>3rd column "BG-02-1527-01-0102": classification ID based on semantic categories according to Bunruigoihyo (Yamazaki et al. 2014).</li> <li>4th column indicates a Chasen POS number.</li> <li>5th column indicates surface form: a form appears in literary works.</li> <li>6th column indicates lemma in kanji writing.</li> <li>7th column indicates lemma in kana writing.</li> <li>8th column indicates conjugated form in kanji writing form.</li> <li>9th column indicates conjugated form in kana writing form.</li> </ul> <h2>Reference</h2> <ol> <li> <p>Yamamoto, Hilofumi (2007) Thesaurus of Japanese Poetic Vocabulary Based on the Semantic Classifications Chart, The 13th Annual Symposium for Database of the Humanities, 1-8, The Association for Database of the Humanities, Osaka.</p> </li> <li> <p>Yamamoto, Hilofumi (2009) Thesaurus for the Hachidaishu (ca. 905-1205) with the classification codes based on semantic principles, Nihongo no Kenkyu / Studies in the Japanese Language, 46-52, Society for Japanese Linguistics, 5, 1, ISSN1349-5119.</p> </li> <li> <p>Yamamoto, Hilofumi (2021) Hachidaishu vocabulary dataset, Zenodo, version 1.0.1, <a href="https://doi.org/10.5281/zenodo.4744170">https://doi.org/10.5281/zenodo.4744170</a></p> </li> <li> <p>Yamazaki, Makoto and Kashino, Wakako and Uchiyama, Kiyoko and Sunaoka, Kazuko, and Tajima, Ikudo and Yamamoto, Hilofumi and Han, Yoo-Sik and Seol, Geun-Su (2014) Bunruigoihyo zouhokaiteiban" e no anoteishion: kihongi no kettei (in Japanese), Keiryo Kokugo gakkai dai 58 kai taikai yokoshu, pp. 7--12.</p> </li> <li> <p><a href="http://kotenseki.nijl.ac.jp/biblio/200007092">国文学研究資料館二十一代集</a></p> </li> <li> <p><a href="http://codh.rois.ac.jp/pmjt/book/200007092/">二十一代集 DOI: 10.20730/200007092</a>: ROIS-DS人文学オープンデータ共同利用センター 新日本古典籍総合データベース(200007093)</p> </li> </ol> <p><!-- @dataset{yamamoto_hilofumi_2021_4735848, author = {Yamamoto, Hilofumi}, title = {Hachidaishu vocabulary dataset}, month = may, year = 2021, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.4735848}, url = {https://doi.org/10.5281/zenodo.4735848} } @Article{yamagen2009ae, author = {Yamamoto, Hilofumi}, title = {Thesaurus for the Hachidaishu (ca.\,905--1205) with the classification codes based on semantic principles}, journal = {Nihongo no Kenkyu / {S}tudies in the Japanese Language}, pages = {46--52}, OPTpublisher = {Society for Japanese Linguistics}, year = {2009}, volume = {5}, number = {1}, OPTedition = {ISSN1349-5119}, OPTmonth = {}, OPTnote = {}, OPTannote = {}, OPTlocation = {}, OPTmemo = {} } @InCollection{yamagen2007de, author = {Yamamoto, Hilofumi}, title = {Thesaurus of Japanese Poetic Vocabulary Based on the Semantic Classifications Chart}, year = {2007}, booktitle = {The 13th Annual Symposium for Database of the Humanities}, pages = {1--8}, publisher = {The Association for Database of the Humanities}, address = {Osaka}, OPTedition = {}, OPTmonth = {2007.12}, OPTmemo = {} }</p>
DS1. Simulation transmission studies of Terabit MCMs_POETICS POE-2_v1.0
<p>The dataset presents the simulated received optical waveforms of an optical transceiver system based on EMLs operating at 100 Gbaud with PAM-4 signals in the O-band over distances beginning from 2 km up to 10 km of SSMF with a 2 km interval. Multiple scenarios regarding the bandwidth limitations that the signal faces during the transmission have been examined. The devices that impose the bandwidth limitations and are investigated in these simulations are: the laser driver; the electro-absorption modulator (EAM) part of the EML; the photodiode (PD) and; the transimpedance amplifier (TIA). Square-root raised cosine pulse shaping schemes with various values of the roll-off factor are tested, in order to evaluate the pros and cons in each case.</p>
Relationship Between Poetic Meter and Meaning in Accentual-Syllabic Verse (data and replication code)
<ul> <li> <p><strong>main.py</strong>: script to train both lda and word2vec models</p> </li> <li> <p><strong>main.ipynb</strong>: Jupyter Notebook containing all the analyses reported in the paper</p> </li> <li> <p><strong>pos.ipynb</strong>: clustering based on frequencies of parts-of-speech</p> </li> <li><strong>corpora</strong>: contains original data for Czech, English, and Dutch poetry in JSON (proprietary German and Russian not included)</li> </ul> <pre><code>{ <= Each item in the following lists corresponds to particular poem and holds: 'words': [] <= list of lemmata found in the poem 'pos_tags': [] <= their POS-tags (Positional Morphological Tags for Czech, MyStem for Russian, TreeTagger tagsets for other corpora) 'meters': [[]] <= list of meters found in poem 'years': [] <= year when poem published (year when author born in case of English) 'n_words': [] <= number of words 'n_lines': [] <= number of lines 'authors': [] <= author of the poem 'titles': [] <= title of the poem 'schemes': [] <= line-ending schemes } </code></pre> <ul> <li><strong>dicts</strong>: contains Gensim dictionary files for all 5 corpora</li> </ul> <ul> <li><strong>fig</strong>: contains all resulting figures</li> </ul> <ul> <li><strong>json</strong> <strong>> metadata:</strong> contains all metadata on poems in particular corpora</li> </ul> <pre><code>{ <= Each item in the following lists corresponds to particular poem and holds: 'meters': [[]] <= list of meters found in poem 'years': [] <= year when poem published (year when author born in case of English) 'n_words': [] <= number of words 'n_lines': [] <= number of lines 'authors': [] <= author of the poem 'titles': [] <= title of the poem } </code></pre> <ul> <li><strong>json > topics:</strong> contains topic probabilities in particular poems</li> </ul> <pre><code>[ <= each item corresponds to particular poem and comprise 100-dimensional dict { 'topic title': its probability in poem } ] </code></pre> <ul> <li><strong>json > pos:</strong> contains POS relative frequencies in particular poems</li> </ul> <pre><code>[ <= each item corresponds to particular poem { 'POS': its frequency } ] </code></pre> <ul> <li><strong>json > w2v:</strong> contains mapping of lemmata and their neighbours in word2vec models</li> </ul> <ul> <li><strong>models</strong>: contains pretrained lda and word2vec models (Gensim)</li> <li><strong>regression</strong>: contains data and code to produce S5_table and S6_fig</li> </ul>
Atmosphéries and the poetics of the in situ: the role and impact of sensors in data-to-sound transposition installations - Supplementary audio material
<p>This audio file wishes to give an insight into NXI Gestatio Design Lab's <em>Atmosphéries</em> research program, and to accompany the publication "Atmosphéries and the poetics of the in situ: the role and impact of sensors in data-to-sound transposition installations". The file consists in a 7-minutes recording of the <em>Meridian Probe</em>, the last instrument designed within the <em>Atmosphéries</em> program, which allows to generate sound from on-site atmospheric data. The recorded extract then acts as a sonic representation of the atmospheric conditions found at the place of exhibition, at the time of recording - in this case, gardens of the Bussy-Rabutin's Castle (France), respectively July 31st, 2021, 17h17. For further information about the <em>Meridian Probe</em>'s design and functioning, we invite you to read the aforementioned publication.</p>
Corona Haikus - Poetics of compassion. Visual poetry and co-creation in virtual opening spaces as self-care and community-care
<p>The COVID-19 lockdowns and the maxim of social distancing have not only been accompanied by an upheaval of all so far assumed certainties and our complex socio-cultural infrastructures – they have also brought along deep permutation in our personal, intimate lives. As closeness and connectivity are essential in times of cataclysm, and as the preservation and negotiation of the effects of crises and its consequences is one element in deal with stress and anxieties, the impulse to document and reflect one's experiences, to reset one's focus and to regain agency through (co-)creative practices and mutual care have gained momentum. This might be one reason why during the lockdown many virtual communities emerged, e.g. social media initiatives with a documentary impetus, as well as collaborative web-projects. The motives for engaging in such networks are various – and often, one and the same project serves different needs at the same time for different user-participants. Apart from the impulse to document unprecedented times as a coping strategy to face personal uncertainties, and apart from the impetus to share one's experiences with others and thus to create a feeling of connectivity, these projects are also means for mediated self-care: they are spaces to self-reflexively cope with a slow-downed and often also isolated lifestyle and to make social distancing more bearable. This contribution examines the potentials of co-creative documentary poetry/poetic documentary in times of crises, taking the participatory project Corona Haikus as an example – a project, which launched during the first lockdown in March 2020 as an artistic experiment repurposing the facebook platform and which later metamorphosed into a curated website. I will investigate which community needs have existed during the crisis, and how the collaborative project Corona Haikus answered them. The focus of the presentation lies on co-creation as a form of self- and community-care, on the visual haiku as a poetic and therapeutic form and meditative practice of creation, as well as the use of networked media, to create 'open spaces' (sensu Zimmermann & De Michiel 2018), to foster communicative connectivity and to inspire creativity – thus making social media networks social in the proper sense of the word. Conceptualizations of co-creation, participation, mediated mindfulness and the healing potential of creativity – especially visual poetry – will be supplemented by reflections on community building, agency in co-creative projects and media ethics. In this sense, the contribution is meant as an analytic investigation of the status quo but also as a glimpse on the potential quo vadis of collaborative, interactive documentary and its (new) functions a means for self-care and community-care.</p> <p>Corona Haikus curated website: <a href="https://coronahaikus.com">https://coronahaikus.com</a></p> <p>Corona Haikus facebook group: <a href="https://www.facebook.com/groups/226094118756231">https://www.facebook.com/groups/226094118756231</a> </p> <p>Interview / Podcast with Sandra Gaudenzi and Sandra Tabares Duque on Kammerfilmmern & Mediales Rauschen: <a href="https://kammerflimmern.podigee.io/b10-corona-haikus">https://kammerflimmern.podigee.io/b10-corona-haikus</a></p> <p>Published in: <a href="https://trametrami.avinus.org/publikationen/8-2023">https://trametrami.avinus.org/publikationen/8-2023</a> </p>
THE ROLE OF PUNCTUATION MARKS IN POETIC SPEECH
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СOMPARATIVE ANALlYSIS OF THE POETICS OF ENGLISH, RUSSIAN AND KARAKALPAK LULLABIES
<p>The article deals with the study of typological concepts of English-Karakalpak-Russian lullabies. The article goes through to find out distinguishes, similarities of English, Russian and Karakalpak lullabies.</p>
THE POETIC INTERPRETATION OF SUFISM'S MAKOMS IN "NAZM UL-JAVOHIR"
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THE POETIC UNIQUENESS OF THE RHYME OF ALISHER NAVOI'S WORK "NAZM UL-JAVOHIR"
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Study of Poetic Dignity Therapy for Sexual and Gender Minority Patients With Cancer
ClinicalTrials.gov study NCT06293456. IPD Sharing: YES. Countries: 1. Publications: 0.
POETIC Plerixafor as a Chemosensitizing Agent for Relapsed Acute Leukemia and MDS in Pediatric Patients
ClinicalTrials.gov study NCT01319864. IPD Sharing: Not stated. Countries: 2. Publications: 0.
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