Universal Dependencies for Sindhi

John Bauer; Sakiina Shah; Muhammad Shaheer; Mir Afza Ahmed Talpur; Zubair Sanjrani; Sarwat Qureshi; Shafi Pirzada; Christopher D. Manning; Mutee U Rahman

Universal Dependencies for Sindhi

John Bauer, Sakiina Shah, Muhammad Shaheer, Mir Afza Ahmed Talpur, Zubair Sanjrani, Sarwat Qureshi, Shafi Pirzada, Christopher D. Manning, Mutee U Rahman

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Abstract

Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India by about 40 million people. Despite this extensive use, it is a low resource language for NLP tasks, with few datasets or pretrained embeddings available. In this work, we explore linguistic challenges for annotating Sindhi in the UD paradigm, such as language-specific analysis of adpositions and verb forms. We use this analysis to present a newly annotated dependency treebank for Universal Dependencies, along with pretrained embeddings and an annotation pipeline specifically for Sindhi annotation.

Anthology ID:: 2025.udw-1.11
Volume:: Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025)
Month:: August
Year:: 2025
Address:: Ljubljana, Slovenia
Editors:: Gosse Bouma, Çağrı Çöltekin
Venues:: UDW | WS | SyntaxFest
SIG:: SIGPARSE
Publisher:: Association for Computational Linguistics
Note:
Pages:: 105–118
Language:
URL:: https://aclanthology.org/2025.udw-1.11/
DOI:
Bibkey:
Cite (ACL):: John Bauer, Sakiina Shah, Muhammad Shaheer, Mir Afza Ahmed Talpur, Zubair Sanjrani, Sarwat Qureshi, Shafi Pirzada, Christopher D. Manning, and Mutee U Rahman. 2025. Universal Dependencies for Sindhi. In Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025), pages 105–118, Ljubljana, Slovenia. Association for Computational Linguistics.
Cite (Informal):: Universal Dependencies for Sindhi (Bauer et al., UDW-SyntaxFest 2025)
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PDF:: https://aclanthology.org/2025.udw-1.11.pdf

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@inproceedings{bauer-etal-2025-universal,
    title = "{U}niversal {D}ependencies for {S}indhi",
    author = "Bauer, John  and
      Shah, Sakiina  and
      Shaheer, Muhammad  and
      Talpur, Mir Afza Ahmed  and
      Sanjrani, Zubair  and
      Qureshi, Sarwat  and
      Pirzada, Shafi  and
      Manning, Christopher D.  and
      Rahman, Mutee U",
    editor = {Bouma, Gosse  and
      {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
    booktitle = "Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025)",
    month = aug,
    year = "2025",
    address = "Ljubljana, Slovenia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.udw-1.11/",
    pages = "105--118",
    ISBN = "979-8-89176-292-3",
    abstract = "Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India by about 40 million people. Despite this extensive use, it is a low resource language for NLP tasks, with few datasets or pretrained embeddings available. In this work, we explore linguistic challenges for annotating Sindhi in the UD paradigm, such as language-specific analysis of adpositions and verb forms. We use this analysis to present a newly annotated dependency treebank for Universal Dependencies, along with pretrained embeddings and an annotation pipeline specifically for Sindhi annotation."
}

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%0 Conference Proceedings
%T Universal Dependencies for Sindhi
%A Bauer, John
%A Shah, Sakiina
%A Shaheer, Muhammad
%A Talpur, Mir Afza Ahmed
%A Sanjrani, Zubair
%A Qureshi, Sarwat
%A Pirzada, Shafi
%A Manning, Christopher D.
%A Rahman, Mutee U.
%Y Bouma, Gosse
%Y Çöltekin, Çağrı
%S Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Ljubljana, Slovenia
%@ 979-8-89176-292-3
%F bauer-etal-2025-universal
%X Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India by about 40 million people. Despite this extensive use, it is a low resource language for NLP tasks, with few datasets or pretrained embeddings available. In this work, we explore linguistic challenges for annotating Sindhi in the UD paradigm, such as language-specific analysis of adpositions and verb forms. We use this analysis to present a newly annotated dependency treebank for Universal Dependencies, along with pretrained embeddings and an annotation pipeline specifically for Sindhi annotation.
%U https://aclanthology.org/2025.udw-1.11/
%P 105-118

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Markdown (Informal)

[Universal Dependencies for Sindhi](https://aclanthology.org/2025.udw-1.11/) (Bauer et al., UDW-SyntaxFest 2025)

Universal Dependencies for Sindhi (Bauer et al., UDW-SyntaxFest 2025)

ACL

John Bauer, Sakiina Shah, Muhammad Shaheer, Mir Afza Ahmed Talpur, Zubair Sanjrani, Sarwat Qureshi, Shafi Pirzada, Christopher D. Manning, and Mutee U Rahman. 2025. Universal Dependencies for Sindhi. In Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025), pages 105–118, Ljubljana, Slovenia. Association for Computational Linguistics.