DKSplit

Word segmentation model for concatenated text. Split domain names, brand names, and phrases into words.

Current Version: 0.2.3

Model Description

• Architecture: BiLSTM-CRF (384 embedding, 768 hidden, 3 layers)
• Format: ONNX with INT8 quantization
• Size: ~9MB
• Input: Lowercase a-z, 0-9 (max 64 characters)

Usage

Install

pip install dksplit

Python

import dksplit

dksplit.split("chatgptlogin")
# ['chatgpt', 'login']

dksplit.split_batch(["openaikey", "microsoftoffice"])
# [['openai', 'key'], ['microsoft', 'office']]

Direct ONNX

import onnxruntime as ort
import numpy as np

session = ort.InferenceSession("dksplit-int8.onnx")
# See GitHub for full inference code

Files

• dksplit-int8.onnx - ONNX model (INT8 quantized)
• dksplit.npz - CRF parameters

Limitations

• Input: a-z, 0-9 only
• Max length: 64 characters
• Non-Latin scripts: use Romanized form

Links

• Website: domainkits.com, ABTdomain.com
• GitHub: github.com/ABTdomain/dksplit
• PyPI: pypi.org/project/dksplit

License

Apache License 2.0 · Copyright 2026 ABTdomain

Please attribute as: DKsplit by ABTdomain