---
title: "Aalamaram: A Large-Scale Linguistically — Abirami 2024"
description: "Tamil still has little high-quality linguistically annotated data."
authors: ["A M Abirami", "Wei Qi Leong", "Hamsawardhini Rengarajan", "D Anitha", "R Suganya", "Himanshu Singh", "Kengatharaiyer Sarveswaran", "William Chandra Tjhi", "Rajiv Ratn Shah"]
year: 2024
venue: "Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation"
source: "https://aclanthology.org/2024.wildre-1.11/"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/papers/abirami-2024-aalamaram-large-scale-linguistically-annotated/"
---
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# Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language

**Authors:** A M Abirami, [Wei Qi Leong](https://md.research.elamur.ai/free/authors/wei-qi-leong/), Hamsawardhini Rengarajan, D Anitha, R Suganya, Himanshu Singh, Kengatharaiyer Sarveswaran, William Chandra Tjhi, [Rajiv Ratn Shah](https://md.research.elamur.ai/free/authors/rajiv-ratn-shah/) · **Year:** 2024 · **Venue:** Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2024.wildre-1.11/) · [PDF](https://aclanthology.org/2024.wildre-1.11.pdf) · [OpenAlex](https://openalex.org/W7131778580)

**Citations:** 0 citations (openalex-snapshot · 2026-10-14) · 1 in our library, of the 140673 papers whose bibliographies we read

## Summary
Tamil still has little high-quality linguistically annotated data. Raw corpora and datasets for NLU and NLG tasks are growing, but there are only two UD treebanks for Tamil: TTB and MWTT. Each contains roughly 600 sentences drawn from a single source, and neither has named entity annotation. The authors built Aalamaram, the largest open Tamil treebank to date. It contains almost 10,000 sentences from diverse sources, including news and movie reviews. The corpus is annotated for parts of speech, morphological features, named entities and syntactic dependencies. Particular attention is paid to splitting multiword tokens, above all clitics, which earlier corpora barely handled. The annotation is based on UD, but the authors adapted its guidelines to the agglutinative structure of Tamil. The resource is suitable for training neural parsers. It can be used in downstream tasks that need syntax, and also to improve the morphosyntactic knowledge of LLMs about low-resource languages.

## Key points
- Aalamaram (Tamil for "banyan", an allusion to parse "trees") contains almost 10,000 sentences in CoNLL-U format. For comparison, TTB has 600 news sentences, and MWTT has 534 sentences from Lehmann's grammar.
- The corpus has four annotation layers: POS, morphological features, NER and dependency parsing. Earlier Tamil UD treebanks had no NER annotation.
- News texts from 2021–2022 were taken from the newspaper Theekkathir under the CC-BY-SA 4.0 IN license. Movie reviews were taken from an existing dataset, and their language is less formal.
- The data were filtered at the paragraph level. Paragraphs with sentences that were too short or too long, a high proportion of English words or many numerals were discarded. In total, the filter removed about 30% of the data.
- The authors separately analyzed the challenging phenomena of Tamil that forced them to revise the UD guidelines, in particular clitic segmentation.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/shelves/linguistics/)

Topics: [Named entity recognition](https://md.research.elamur.ai/free/topics/named-entity-recognition/) · [Universal Dependencies](https://md.research.elamur.ai/free/topics/universal-dependencies/) · [Treebanks](https://md.research.elamur.ai/free/topics/treebanks/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{abirami2024aalamaram,
  title = {{Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language}},
  author = {Abirami, A M and Leong, Wei Qi and Rengarajan, Hamsawardhini and Anitha, D and Suganya, R and Singh, Himanshu and Sarveswaran, Kengatharaiyer and Tjhi, William Chandra and Shah, Rajiv Ratn},
  booktitle = {Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation},
  year = {2024},
  doi = {10.63317/3ewubkqtrad2},
  url = {https://doi.org/10.63317/3ewubkqtrad2}
}
```

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