File size: 7,726 Bytes
0ef2f1e 04ad3a1 0ef2f1e 36e860f 04ad3a1 8ddbf02 36e860f 8ddbf02 36e860f 8ddbf02 36e860f 8ddbf02 36e860f 8ddbf02 36e860f 8ddbf02 36e860f af289a2 36e860f 8ddbf02 36e860f 73b455d af289a2 3a047da 36e860f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 |
---
license: gpl
task_categories:
- translation
language:
- fa
tags:
- grapheme-to-phoneme
- g2p
- phoneme-translation
- persian
- farsi
- dictionary
- glossary
- kaamel-dict
pretty_name: Kaamel Dict
size_categories:
- 100K<n<1M
---
# Kaamel-Dict: A Comprehensive Persian G2P Dictionary

Kaamel-Dict is the largest publicly available Persian grapheme-to-phoneme (G2P) dictionary, containing over 116,600 entries.
It was developed by unifying multiple phonetic representation systems from existing G2P tools
[[1](https://github.com/mohamad-hasan-sohan-ajini/G2P)]
[[2](https://github.com/AzamRabiee/Persian\_G2P)]
[[3](https://github.com/PasaOpasen/PersianG2P)]
[[4](https://arxiv.org/abs/2204.03067)]
and datasets
[[5](https://github.com/open-dict-data/ipa-dict)]
[[6](https://github.com/tihu-nlp/tihudict)]
[[7](https://github.com/lotusfa/IPA-Translator)]
[[8](https://www.wiktionary.org/)]
[[9](https://www.peykaregan.ir/dataset/)]
and an additional online glossary
[[10](http://farhang.apll.ir/)]
, called Jame` Dictionary, . This dictionary is released under the GNU license, allowing it to be used for
developing G2P models, Persian text-to-speech (TTS) systems, or linguistic research.
---
## Column Descriptions
The dataset contains the following columns:
- **grapheme**: Persian written form of the word.
- **phoneme**: List of pronunciations of the word. Each item in the list is a tuple of phonemes corresponding to a specific pronunciation.
- **nodiff**: For some words with multiple pronunciations, this column is marked as `True` if all pronunciations are equivalent and can be used interchangeably. For example, `/AsemAn/` and `/AsmAn/` are both valid pronunciations for the word `آسمان`.
- **POS**: For some words with multiple pronunciations, each pronunciation is labeled with the part of speech (POS) it takes in a sentence. For example, for the word `مرد`, the pronunciation `/mard/` is always a **NOUN**, while `/mord/` is always a **VERB**. The following POS values are used in this dictionary:
- **ADP**: Adposition (preposition or postposition), **ADV**: Adverb, **DET**: Determiner, **NUM**: Numeral, **N,EZ**: Noun with Ezafe (e.g., خانهی من), **PRON**: Pronoun, **VERB**: Verb, **SCONJ**: Subordinating conjunction, **NOUN**: Noun, **ADJ**: Adjective
- **prob**: For some words with multiple pronunciations, this column provides a relative probability (based on native speaker intuition) for each pronunciation. For example, the word `در` is pronounced as `/dorr/` very rarely (in old literature) and as `/dar/` much more commonly (as a preposition). This column indicates the relative likelihood of each pronunciation.
---
## Phoneme Representation
The phonetic symbols used in this dataset correspond to Persian phonemes. Below is a reference table for the specific symbols and their IPA equivalents:
| Symbol | Persian Sound | IPA Equivalent | Example |
|:------:|:-------------------:|:--------------:|:--------------------:|
| A | آ, ا (long vowel) | æ | ماه: mAh |
| a | َ (short vowel) | ɒː | درد: dard |
| u | او (long vowel) | uː | دوست: dust |
| i | ای (long vowel) | iː | میز: miz |
| o | ُ (short vowel) | o | ظهر: zohr |
| e | ِ (short vowel) | e | ذهن: zehn |
| S | ش (consonant) | ʃ | شهر: Sahr |
| C | چ (consonant) | tʃʰ | چتر: Catr |
| Z | ژ (consonant) | ʒ | ژاله: ZAle |
| q | غ، ق (consonant) | ɣ, q | غذا: qazA, قند: qand |
| x | خ (consonant) | x | خاک: xAk |
| r | ر (consonant) | ɾ | روح: ruh |
| y | ی (consonant) | j | یار: yAr |
| j | ج (consonant) | dʒ | نجات: nejAt |
| v | و (consonant) | v | ورم: varam |
| ? | ع، ء، ئ (consonant) | ʔ | عمر: ?omr, آینده: ?Ayande |
---
## License
Kaamel-Dict is distributed under the GNU General Public License, making it freely available for redistribution and modification under the same terms as its source materials. All source dictionaries are licensed for redistribution.
---
## How to Use
You can download the dataset from [Here](https://huggingface.co/datasets/MahtaFetrat/KaamelDict/resolve/main/KaamelDict.csv) or clone the repository:
```bash
git clone https://huggingface.co/datasets/MahtaFetrat/KaamelDict
```
---
## References
The following datasets and resources were used to create Kaamel-Dict:
```bash
@misc{ipa-dict,
title = {IPA-dict: Monolingual wordlists with pronunciation information in IPA},
year = {2023},
journal = {GitHub repository},
howpublished = {\url{https://github.com/open-dict-data/ipa-dict}},
}
```
```bash
@misc{tihu-dict,
title = {Tihu Persia Dictionary},
year = {2019},
journal = {GitHub repository},
howpublished = {\url{https://github.com/tihu-nlp/tihudict}},
}
```
```bash
@misc{IPA-Translator,
title = {IPA-Translator},
year = {2022},
journal = {GitHub repository},
howpublished = {\url{https://github.com/lotusfa/IPA-Translator}},
}
```
```bash
@misc{wiktionary,
title = {Wiktionary free dataset},
howpublished = {\url{https://www.wiktionary.org/}},
note = {Accessed: 2024-09-05}
}
```
```bash
@misc{zaya,
title = {Persian Zaya Dictionary},
howpublished = {\url{https://www.peykaregan.ir/dataset/}},
note = {Accessed: 2024-09-05}
}
```
```bash
@misc{jame,
title = {Persian Jame Glossary},
howpublished = {\url{http://farhang.apll.ir/}},
note = {Accessed: 2024-09-05}
}
```
```bash
@misc{mohammadhasan,
author = {Mohammad Hasan Sohan Ajini},
title = {Attention Based Grapheme To Phoneme},
howpublished = {\url{https://github.com/mohamad-hasan-sohan-ajini/G2P}},
year = {2022},
note = {Accessed: 2024-09-05}
}
```
```bash
@misc{azamrabiee,
author = {Rabiee, Azam},
title = {Persian g2p},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/AzamRabiee/Persian\_G2P}},
note = {Accessed: 2024-09-05}
}
```
```bash
@misc{PasaOpasen,
author = {Demetry Pasсal},
title = {Simple persian (farsi) grapheme-to-phoneme converter},
howpublished = {\url{https://github.com/PasaOpasen/PersianG2P}},
year = {2020},
note = {Accessed: 2024-09-05}
}
```
```bash
@article{zhu2022charsiu-g2p,
title={ByT5 model for massively multilingual grapheme-to-phoneme conversion},
author={Zhu, Jian and Zhang, Cong and Jurgens, David},
url = {https://arxiv.org/abs/2204.03067},
doi = {10.48550/ARXIV.2204.03067},
year={2022}
}
```
---
## Contact
For any questions or inquiries, feel free to open an issue or contact the author at [[email protected]].
---
## Citation
If you use KaamelDict in your research or projects, please cite the following paper:
```bash
@misc{fetrat2024llmpoweredg2p,
title={LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study},
author={Mahta Fetrat Qharabagh and Zahra Dehghanian and Hamid R. Rabiee},
year={2024},
eprint={2409.08554},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2409.08554},
}
``` |