---
license: cc-by-4.0
task_categories:
- text2text-generation
language:
- ml
pretty_name: Malayalam Grapheme Phoneme Dataset
configs:
- config_name: commonword
  data_files: commonword.tsv
  sep: "\t"
- config_name: english_loan
  data_files: english_loan.tsv
  sep: "\t"
- config_name: noun
  data_files: noun.tsv
  sep: "\t"
- config_name: personname
  data_files: personname.tsv
  sep: "\t"
- config_name: placename
  data_files: placename.tsv
  sep: "\t"
- config_name: pronoun
  data_files: pronoun.tsv
  sep: "\t"
- config_name: propernoun
  data_files: propernoun.tsv
  sep: "\t"
- config_name: sanskrit_loan
  data_files: sanskrit_loan.tsv
  sep: "\t"
- config_name: verb
  data_files: verb.tsv
  sep: "\t"
size_categories:
- 100K<n<1M
---

## Malayalam Phonetic Lexicon

This dataset contains words in Malayalam script and their pronunciation in International Phonetic Alphabet (IPA)

The words in the lexicon are sourced from 
1) The most frequest 100 thousand words from [Indic NLP](https://github.com/AI4Bharat/indicnlp_corpus) corpus
2) Curated collection of word categories from [Mlmorph](https://pypi.org/project/mlmorph/) project

This pronunciations are created using [Mlphon](https://pypi.org/project/mlphon/) python Library.

### Applications

- Ready to use pronunciation lexicons for ASR and TTS
- To train datadriven grapheme to phoneme models



If you are using this dataset for any research, cite 

```@ARTICLE{kavya2022mlphon,
  author={Manohar, Kavya and Jayan, A. R. and Rajan, Rajeev},
  journal={IEEE Access}, 
  title={Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers}, 
  year={2022},
  volume={10},
  number={},
  pages={97555-97575},
  doi={10.1109/ACCESS.2022.3204403}}
```