DROPS

Document

Short Paper

DOI: 10.4230/OASIcs.SLATE.2026.11

Developing an AI-Based Application for Linguistic Analysis of Deaf Learners' L2 Writing (Short Paper)

Authors: Aryane Santos Nogueira and Ana Célia Ribeiro Bizigato Portes

Published in: OASIcs, Volume 144, 15th Symposium on Languages, Applications and Technologies (SLATE 2026)

Abstract

The teaching of written language as a second language (L2) to deaf students remains a critical challenge in bilingual education. This is also the case for written Portuguese in Brazil, where difficulties persist particularly in the analysis of students' written production and its use in pedagogical decision-making. This paper presents the ongoing development of a Minimum Viable Product (MVP) aimed at supporting the qualified linguistic analysis of texts produced by deaf learners. Rather than functioning as a correction tool, the system is conceived as a pedagogically oriented analytical assistant, designed to identify patterns related to formal aspects of writing and their functional-communicative impact. The proposed model is structured around three analytical subdimensions (FORM_PROD, FORM_IMP, and FORM_FUN) and implemented through a prompt-based architecture using a Large Language Model (LLM). Preliminary results from a pilot study with five learner texts suggest the feasibility of distinguishing between formal instability and communicative effectiveness, generating interpretable and pedagogically relevant outputs. These findings point to the potential of AI to support language teaching in bilingual contexts involving deaf learners.

Cite as

Aryane Santos Nogueira and Ana Célia Ribeiro Bizigato Portes. Developing an AI-Based Application for Linguistic Analysis of Deaf Learners' L2 Writing (Short Paper). In 15th Symposium on Languages, Applications and Technologies (SLATE 2026). Open Access Series in Informatics (OASIcs), Volume 144, pp. 11:1-11:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

Copy BibTex To Clipboard

@InProceedings{nogueira_et_al:OASIcs.SLATE.2026.11,
  author =	{Nogueira, Aryane Santos and Portes, Ana C\'{e}lia Ribeiro Bizigato},
  title =	{{Developing an AI-Based Application for Linguistic Analysis of Deaf Learners' L2 Writing}},
  booktitle =	{15th Symposium on Languages, Applications and Technologies (SLATE 2026)},
  pages =	{11:1--11:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-440-6},
  ISSN =	{2190-6807},
  year =	{2026},
  volume =	{144},
  editor =	{Batista, Fernando and Ribeiro, Eug\'{e}nio and Ribeiro, Ricardo and Santos, Andr\'{e} L.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2026.11},
  URN =		{urn:nbn:de:0030-drops-267098},
  doi =		{10.4230/OASIcs.SLATE.2026.11},
  annote =	{Keywords: Deaf education, Second language writing, Linguistic analysis, Generative AI, Natural Language Processing}
}

Search Results

Documents authored by Nogueira, Aryane Santos

Developing an AI-Based Application for Linguistic Analysis of Deaf Learners' L2 Writing (Short Paper)

Abstract

Cite as

Thanks for your feedback!

Could not send message