Automatic Meter Classification of Kurdish Poems
- URL: http://arxiv.org/abs/2102.12109v1
- Date: Wed, 24 Feb 2021 07:57:38 GMT
- Title: Automatic Meter Classification of Kurdish Poems
- Authors: Aso Mahmudi, Hadi Veisi
- Abstract summary: Knowing the meter of the poems is helpful for correct reading, a better understanding of the meaning, and avoidance of ambiguity.
This paper presents a rule-based method for automatic classification of the poem meter for the Central Kurdish language.
- Score: 3.0839245814393728
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Most of the classic texts in Kurdish literature are poems. Knowing the meter
of the poems is helpful for correct reading, a better understanding of the
meaning, and avoidance of ambiguity. This paper presents a rule-based method
for automatic classification of the poem meter for the Central Kurdish
language. The metrical system of Kurdish poetry is divided into three classes
of quantitative, syllabic, and free verses. As the vowel length is not phonemic
in the language, there are uncertainties in syllable weight and meter
identification. The proposed method generates all the possible situations and
then, by considering all lines of the input poem and the common meter patterns
of Kurdish poetry, identifies the most probable meter type and pattern of the
input poem. Evaluation of the method on a dataset from VejinBooks Kurdish
corpus resulted in 97.3% of precision in meter type and 96.2% of precision in
pattern identification.
Related papers
- Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets [3.0040661953201475]
Large language models (LLMs) can now generate and recognize poetry.
We develop a task to evaluate how well LLMs recognize one aspect of English-language poetry.
We show that state-of-the-art LLMs can successfully identify both common and uncommon fixed poetic forms.
arXiv Detail & Related papers (2024-06-27T05:36:53Z) - Metronome: tracing variation in poetic meters via local sequence alignment [0.18749305679160366]
This paper introduces an unsupervised method for detecting structural similarities in poems using local sequence alignment.
The method relies on encoding poetic texts as strings of prosodic features using a four-letter alphabet.
These sequences are then aligned to derive a distance measure based on weighted symbol (mis)matches.
arXiv Detail & Related papers (2024-04-26T11:37:45Z) - A Computational Approach to Style in American Poetry [19.41186389974801]
We develop a method to assess the style of American poems and to visualize a collection of poems in relation to one another.
qualitative poetry criticism helped guide our development of metrics that analyze various orthographic, syntactic, and phonemic features.
Our method has potential applications to academic research of texts, to research of the intuitive personal response to poetry, and to making recommendations to readers based on their favorite poems.
arXiv Detail & Related papers (2023-10-13T18:49:14Z) - PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in
Poetry Generation [58.36105306993046]
Controllable text generation is a challenging and meaningful field in natural language generation (NLG)
In this paper, we pioneer the use of the Diffusion model for generating sonnets and Chinese SongCi poetry.
Our model outperforms existing models in automatic evaluation of semantic, metrical, and overall performance as well as human evaluation.
arXiv Detail & Related papers (2023-06-14T11:57:31Z) - PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised
Poetry Generation [42.12348554537587]
Formal verse poetry imposes strict constraints on the meter and rhyme scheme of poems.
Most prior work on generating this type of poetry uses existing poems for supervision.
We propose an unsupervised approach to generate poems following any given meter and rhyme scheme.
arXiv Detail & Related papers (2022-05-24T17:09:55Z) - Comprehensive Benchmark Datasets for Amharic Scene Text Detection and
Recognition [56.048783994698425]
Ethiopic/Amharic script is one of the oldest African writing systems, which serves at least 23 languages in East Africa.
The Amharic writing system, Abugida, has 282 syllables, 15 punctuation marks, and 20 numerals.
We presented the first comprehensive public datasets named HUST-ART, HUST-AST, ABE, and Tana for Amharic script detection and recognition in the natural scene.
arXiv Detail & Related papers (2022-03-23T03:19:35Z) - Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship
Attribution [74.27826764855911]
We employ syllabic quantity as a base for deriving rhythmic features for the task of computational authorship attribution of Latin prose texts.
Our experiments, carried out on three different datasets, using two different machine learning methods, show that rhythmic features based on syllabic quantity are beneficial in discriminating among Latin prose authors.
arXiv Detail & Related papers (2021-10-27T06:25:31Z) - CCPM: A Chinese Classical Poetry Matching Dataset [50.90794811956129]
We propose a novel task to assess a model's semantic understanding of poetry by poem matching.
This task requires the model to select one line of Chinese classical poetry among four candidates according to the modern Chinese translation of a line of poetry.
To construct this dataset, we first obtain a set of parallel data of Chinese classical poetry and modern Chinese translation.
arXiv Detail & Related papers (2021-06-03T16:49:03Z) - Automatic Scansion of Spanish Poetry without Syllabification [2.6143558180103326]
We propose an algorithm that performs accurate scansion (number of syllables, stress pattern and type of verse) without syllabification.
Our algorithm outperforms the current state of the art by 2% in fixed-metre poetry, and 25% in mixed-metre poetry.
arXiv Detail & Related papers (2020-12-23T16:59:43Z) - Generating Major Types of Chinese Classical Poetry in a Uniformed
Framework [88.57587722069239]
We propose a GPT-2 based framework for generating major types of Chinese classical poems.
Preliminary results show this enhanced model can generate Chinese classical poems of major types with high quality in both form and content.
arXiv Detail & Related papers (2020-03-13T14:16:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.