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Conference Open access 2026

ANVITA : Machine Translation System for Low-resource Indian Languages - Khasi, Nagamese and Tagin

In this paper, we present ANVITA machine translation system submitted to WMT 2026 shared task on Low-Resource Indic Language Translation, where the team participated for six translation directions: { Khasi, Nagamese, and Tagin } ↔ English. Two core ideas shaped the design of ANVITA system. Firstly, transfer learning by...

S. J, Daneshwari Kankanwadi, Abhinav Gugulothu et al. · 0 citations
Review Open access Sep 2026

A structured and comprehensive review of Sino-Tibetan languages PoS taggers

This study examines existing studies on PoS tagging of several Sino-Tibetan languages, explains the datasets and models used, and compares their stated performance, and discusses the limits of the prior approaches.

Bedawati Basumatary, Shikhar Kumar Sarma, Kuwali Talukdar et al. · 0 citations
Conference Open access Sep 2026

Evaluating Subword Tokenization Algorithms for Kapampangan Natural Language Processing

Effective tokenization is a foundational component of Large Language Model (LLM) development, yet it remains an open challenge for morphologically rich, lowresource languages such as Kapampangan. This paper presents a systematic evaluation of Byte-Pair Encoding (BPE) and the Unigram Language Model for Kapampangan, an u...

Harwin C. Mendoza, Edward Allen B. Manaloto, Aaron John V. Castañeda et al. · 0 citations
Conference Open access 2026

MTG-LIRA: Scaling Neural Machine Translation for Low-Resource Indian Languages through Multilingual Learning and Synthetic Data

Low-resource Indian languages continue to face significant challenges in neural machine translation due to the scarcity of high-quality parallel corpora and the diversity of scripts and linguistic characteristics. This paper presents MTG-LIRA’s submission to the WMT 2026 Low-Resource Indic Language Translation Shared T...

Vedarth Hede, Neha Gupta, H. Bapat et al. · 0 citations
#artificial intelligence Open access Sep 2026

Entailment, CONtradition and Neutral (E-CONAN) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets

Natural Language Inference (NLI) processes pairs of sentences to extract their semantic relations. NLI has been a hot research topic, integrated as a main component in other NLP applications, from morphological spelling correction tasks to higher-level tasks such as machine translation and information extraction. Despi...

Khloud Al Jallad, Nada Ghneim, Ghaida Rebdawi · 0 citations
Review Open access Sep 2026

Stemming techniques for resource-poor languages: a review of methods, challenges, and applications

A systematic review of stemming techniques across Afro-Asiatic, Indo-Aryan, Turkic, and Uralic language families, with explicit acknowledgment of coverage limitation, points out the strengths and weaknesses of current approaches and provides insights into potential areas for future investigation and developments in lan...

Sanjiban Sekhar Roy, Mohd Anas, Saravanakumar Kandasamy · 0 citations

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