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README.md
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- mr
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task_categories:
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- other
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---
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# morphTok
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Additional languages such as Tamil and Telugu may be added in future releases.
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## Data Format
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Each CSV file contains the following columns:
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- `word`: surface form
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- `segmentation`: morpheme-level segmentation
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@article{brahma2025morphtok,
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title={Morphtok: Morphologically grounded tokenization for indian languages},
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author={Brahma, Maharaj and Karthika, NJ and Singh, Atul and Adiga, Devaraj and Bhate, Smruti and Ramakrishnan, Ganesh and Saluja, Rohit and Desarkar, Maunendra Sankar},
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- mr
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task_categories:
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- other
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tags:
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- tokenization
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- morphology
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- word-segmentation
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- indian-languages
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---
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# morphTok
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Additional languages such as Tamil and Telugu may be added in future releases.
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print(ds)
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## Data Format
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Each CSV file contains the following columns:
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- `word`: surface form
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- `segmentation`: morpheme-level segmentation
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## Usage
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from datasets import load_dataset
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ds = load_dataset(
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"karthika95/morphTok",
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data_files={
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"hindi": ["hindi.csv"],
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"marathi": ["marathi.csv"],
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}
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)
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## ---
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license: cc-by-4.0
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language:
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- hi
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- mr
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task_categories:
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-- word segmentation
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---
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# morphTok
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This repository contains the morphological segmentation data released as part of the paper:
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**Morphtok: Morphologically Grounded Tokenization for Indian Languages**
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## Description
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The dataset provides word-level morphological segmentations for Indian languages.
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Each entry consists of a surface word form and its morpheme-level decomposition, represented using the `+` delimiter.
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Currently supported languages:
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- Hindi (`hindi.csv`)
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- Marathi (`marathi.csv`)
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Additional languages such as Tamil and Telugu may be added in future releases.
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print(ds)
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## Data Format
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Each CSV file contains the following columns:
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- `word`: surface form
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- `segmentation`: morpheme-level segmentation
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## Usage
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from datasets import load_dataset
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ds = load_dataset(
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"karthika95/morphTok",
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data_files={
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"hindi": ["hindi.csv"],
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"marathi": ["marathi.csv"],
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}
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)
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## BibTeX
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@article{brahma2025morphtok,
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title={Morphtok: Morphologically grounded tokenization for indian languages},
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author={Brahma, Maharaj and Karthika, NJ and Singh, Atul and Adiga, Devaraj and Bhate, Smruti and Ramakrishnan, Ganesh and Saluja, Rohit and Desarkar, Maunendra Sankar},
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journal={arXiv preprint arXiv:2504.10335},
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year={2025}
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}
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@article{brahma2025morphtok,
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title={Morphtok: Morphologically grounded tokenization for indian languages},
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author={Brahma, Maharaj and Karthika, NJ and Singh, Atul and Adiga, Devaraj and Bhate, Smruti and Ramakrishnan, Ganesh and Saluja, Rohit and Desarkar, Maunendra Sankar},
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