Omarrran/kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset

THE DATASET CAN BE USED AS:

1. 🎯 Diacritics Restoration Models

Train sequence-to-sequence models to automatically add diacritics to plain Kashmiri text.

Input: کاشر زبان (plain text)
Output: کٲشُر زَبان (with diacritics)

Model architectures:

• Transformer-based (BERT, T5, mT5)
• LSTM/GRU sequence-to-sequence
• Character-level neural networks

Training approach:

# Example: Fine-tuning mT5 for diacritization
from transformers import MT5ForConditionalGeneration

model = MT5ForConditionalGeneration.from_pretrained("google/mt5-small")
# Train with: input=non_diacritical, target=diacritical

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2. 🗣️ Text-to-Speech (TTS) Systems

Diacritics are essential for correct pronunciation in Kashmiri TTS:

Without Diacritics	With Diacritics	Pronunciation Changes
کتاب	کِتاب	"kitaab" (book)
اچھا	اَچھا	"achha" (good)

Pipeline:

1. User inputs plain Kashmiri text
2. Diacritics restoration model adds marks
3. TTS engine produces accurate speech

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3. 📚 Language Learning Applications

Create pronunciation guides and learning materials:

• Flashcard apps showing both forms
• Reading assistants that add diacritics on hover
• Pronunciation trainers for non-native speakers
• Children's education tools for Kashmiri literacy

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4. 🔍 Search & Information Retrieval

Normalize text for better search:

Query: "کشمیری زبان" (without diacritics)
  ↓ Matches ↓
"کٲشمیٖری زَبان" (with diacritics)
"کشمیری زبان" (without diacritics)

Both forms map to the same meaning, improving search recall.

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5. 🤖 Machine Translation

Improve Kashmiri ↔ Other language translation:

• Diacritics provide semantic disambiguation
• Better alignment with phonetic languages
• Improved word embeddings for Kashmiri

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6. 📖 Digital Preservation

Preserve Kashmiri literature and texts:

• Convert historical texts to both formats
• Create accessible versions for different audiences
• Build comprehensive Kashmiri text corpora

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📁 Formats

Format	Best For	Structure
XLSX	Excel analysis, manual review	2 columns: Diacritical, Non-Diacritical
TSV	Quick import to pandas/ML tools	Tab-separated values
JSONL	Streaming, large datasets	{"diacritical": "...", "non_diacritical": "..."}

Example Dataset Entry

{
  "diacritical": "کٲشُر زَبان یِہ بَڈ خوٗبصوٗرَت چُھ",
  "non_diacritical": "کاشر زبان یہ بڈ خوبصورت چھ"
}

Citation

@misc{kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset,
  author = {Haq Nawaz Malik},
  title = {kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {[ https://huggingface.co/datasets/Omarrran/kashmiri_parallel_Diacratic_to_Non_diacratic_Text_dataset ]}
}