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language: san
license: apache-2.0
tags:
- dependency-parsing
- nested-compound-type-identification
- lstm
- nlp
- sanskrit
- pytorch
---
# DepNeCTI-LSTM: Dependency-based Nested Compound Type Identification for Sanskrit
This repository contains the **DepNeCTI-LSTM** model checkpoint and configuration files trained for nested compound type identification in Sanskrit using a dependency-based LSTM encoder.
---
## Model Details
- **Model type:** LSTM-based dependency parser
- **Task:** Nested Compound Type Identification (NeCTI) in Sanskrit
- **Architecture:** LSTM encoder with word, POS, and character embeddings
- **Trained on:** DepNeCTI dataset (from [Sandhan et al., 2023](https://arxiv.org/abs/2310.09501))
- **Pretrained embeddings used:** FastText embeddings (cc.NeCTIS.300.txt)
- **Framework:** PyTorch 1.13.0
- **CUDA version:** 11.7
---
## Files
- `domain_san.pt` — Pretrained model state for the Domain-SAN model.
- `domain_san.arg.json` — JSON file containing model hyperparameters and configuration settings.
- `README.md` — Instructions for setup, usage, and reproduction of results.
- `requirements.txt` — List of Python dependencies required to run the model.
- `LICENSE` — Apache License 2.0 — grants broad usage rights with conditions for attribution and inclusion of the license when redistributing.
---
## Usage
This model and arguments(json format) were obtained after running the training script. To reproduce the model in accordance to your needs refer to the [original paper](http://arxiv.org/abs/2310.09501)
# Paper
```
@misc{sandhan2023depnecti,
title={DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit},
author={Jivnesh Sandhan and Yaswanth Narsupalli and Sreevatsa Muppirala and Sriram Krishnan and Pavankumar Satuluri and Amba Kulkarni and Pawan Goyal},
year={2023},
eprint={2310.09501},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
Original paper [DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit](http://arxiv.org/abs/2310.09501)
Github Repository of [DepNeCTI](https://github.com/yaswanth-iitkgp/DepNeCTI)
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