Task #1: IndicGEC 2025

Shared Task on Grammatical Error Correction for Indian Languages


This shared task aims to benchmark Grammatical Error Detection (GED) and Grammatical Error Correction (GEC) systems for Indian languages. This task focuses on sentence-level categorization, detecting and correcting grammatically wrong sentences.
The participants are expected to solve the following three subtasks.
Subtasks
  • Subtask 1: Detection of Grammatically Incorrect Sentences
    Given a sentence in an Indian language, determine whether it is grammatically correct or incorrect. (Binary Classification)
  • Subtask 2: Grammatical Error Detection (GED)
    If the sentence is incorrect, classify the type of grammatical error (Multi-class Classification with 5+1 categories). It will be a sequence tagging task, analogous to NER, where participants are expected to predict whether each word in a sentence is correct or not. They must tag the word to the correct error category if it is incorrect.
  • Subtask 3: Grammatical Error Correction (GEC)
    Generate the grammatically correct version of the input sentence, preserving the original intent and structure as much as possible. (Sequence Generation)

Evaluation Metrics
  • Subtask 1: Macro-F1
  • Subtask 2: Macro-F1
  • Subtask 3: GLEU Score

Task #2: IndicWG 2025

Shared Task on Word Group Identification in Indian Languages


This shared task aims to introduce and regularize the concept of Word Grouping in Indian languages. Word grouping is a process wherein, given a plain text sentence in an Indian language, the task is to output a sequence of word groups, where each group represents a semantically cohesive unit.
Supervised Monolingual Word Group Identification
The participants are expected to build models for word group identification within a single Indian language, using fully supervised data. Training and development data will be provided in a specific language (e.g., Hindi). Participants must predict semantically cohesive word groups on a held-out test set in the same language. Use of any approach -- rule-based, statistical, or neural models -- is allowed. Evaluation will focus on boundary-level matching and group-level correctness. This task serves as the foundational task to establish baselines for word grouping quality.
Evaluation Metrics
  • Exact Match F1-Score
Important Dates AoE
  • Release of detailed description: August 18, 2025

  • Training data: September 2, 2025

  • Leaderboard: September 2, 2025

  • Test data: October 3, 2025

  • Final submission to leaderboard: October 10, 2025

  • System paper submission deadline: October 20, 2025

  • Notification of acceptance: October 30, 2025

  • Camera-ready due: November 10, 2025

Organizers

Arnab Bhattacharya

IIT Kanpur, Kanpur, India

Kripabandhu Ghosh

IISER Kolkata, Kolkata, India

Pawan Goyal

IIT Kharagpur, Kharagpur, India

Saptarshi Ghosh

IIT Kharagpur, Kharagpur, India

Ganesh Ramkrishnan

IIT Bombay, Mumbai, India

Hrishikesh Terdalkar

BITS Pilani - Hyderabad, Hyderabad, India

Pramit Bhattacharyya

IIT Kanpur, Kanpur, India

Shubham Kumar Nigam

IIT Kanpur, Kanpur, India

Karthika N J

IIT Bombay, Mumbai, India

Manoj Balaji Jagadeeshan

IIT Kharagpur, Kharagpur, India

Subinay Adhikary

IISER Kolkata, Kolkata, India

Arvapalli Sai Susmitha

IIT Kanpur, Kanpur, India