Academic Inquiries, Licensing (CC-BY-4.0), & API Documentation (علمي څېړنې، ازاد جواز او د API لارښود)

1. Open Access & Licensing Framework (د جواز حقوقي چوکاټ)

1.1 Creative Commons Attribution 4.0 International (CC-BY-4.0)

All curated lexical records, grammatical paradigms, phonetic transcriptions, dialectal variants, and editorial commentaries generated by the Open Pashto Lexicon (pashtodictionary.com) are released under the terms of the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

1.2 Terms of Reuse & Attribution Clause

When incorporating, reproducing, or fine-tuning machine learning models using the Open Pashto Lexicon dataset or API, you must provide:

1. Appropriate Credit: Acknowledge "Open Pashto Lexicon Project (pashtodictionary.com)" and name contributing lexicographers where cited.
2. License Link: Provide a direct hyperlink to the CC-BY-4.0 License.
3. Change Log: Indicate if changes, automated transliterations, or morphological extensions were made to the original database records.
4. No Additional Restrictions: You may not apply legal terms or technological protection measures (DRM) that legally restrict others from doing anything the license permits.

2. Academic Inquiries & Research Partnerships (علمي همکارۍ او اړيکې)

We actively partner with linguistics departments, natural language processing (NLP) labs, and lexicographical bodies globally to advance computational resources for low-resource Iranian languages.

2.1 Areas of Scholarly Collaboration

2.2 Scholarly Citation Formats

@misc{open_pashto_lexicon_2026,
  author       = {{Open Pashto Lexicon Editorial Board}},
  title        = {Open Pashto Lexicon: A Trilingual Computational Dictionary of the Pashto Language},
  year         = {2026},
  publisher    = {Pashto Dictionary Foundation},
  url          = {https://pashtodictionary.com},
  note         = {Dataset version 2.4, Licensed under CC-BY-4.0}
}

3. Lexical Data Dumps & Open Datasets (ډیټابیس او ډیټاسیټونه)

For computational linguists, researchers, and offline developers, our verified database of 126,184 root headwords is exported monthly in standardized open formats:

4. Developer API Documentation (د پروګرامینګ لارښود)

The Open Pashto Lexicon provides a high-performance RESTful API designed for search engines, translation tools, machine learning pipelines, and language-learning applications.

4.1 Base URL & Protocol

• All responses are served over HTTPS with UTF-8 encoding.
• Response payloads are formatted as application/json.
• Strict CORS headers (Access-Control-Allow-Origin: *) are enabled for client-side web applications.

4.2 Rate Limits & Access Tiers

5. Code Integration Examples (د کوډ بېلګې)

Drop-in client examples for integrating the Open Pashto Lexicon into machine learning models and web apps:

import requests

def lookup_pashto_word(query: str):
    url = "https://api.pashtodictionary.com/v1/search"
    params = {"q": query, "direction": "all", "limit": 1}
    headers = {"Accept": "application/json"}
    
    response = requests.get(url, params=params, headers=headers)
    if response.status_code == 200:
        results = response.json().get("data", [])
        if results:
            entry = results[0]
            print(f"Headword: {entry['headword_vocalized']} ({entry['transliteration']})")
            print(f"English:  {entry['senses'][0]['english_gloss']}")
            print(f"Urdu:     {entry['senses'][0]['urdu_gloss']}")
            return entry
    return None

lookup_pashto_word("کتاب")

async function fetchWord(slug: string) {
  const res = await fetch(`https://api.pashtodictionary.com/v1/entries/${encodeURIComponent(slug)}`);
  if (!res.ok) throw new Error(`HTTP error ${res.status}`);
  const json = await res.json();
  return json.data;
}

6. Institutional Inquiry & API Key Request Form

Request an elevated academic Bearer Token (600 req/min) or propose an institutional data sharing partnership:

7. Standards & Legal References

1. [1] Creative Commons Corporation. (2013). Creative Commons Attribution 4.0 International Public License (CC BY 4.0).
2. [2] Text Encoding Initiative Consortium. (2023). TEI P5: Guidelines for Electronic Text Encoding and Interchange.
3. [3] W3C Ontolex Community Group. (2016). Lexicon Model for Ontologies (Ontolex-Lemon). W3C Community Group Report.
4. [4] Open Knowledge Foundation. (2020). The Open Definition: Defining Open in Open Data, Open Content and Open Knowledge.