---
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)