Article

An Optimized Approach for Handling Limited Vocabulary Constraints and Word Order Divergence in English-Urdu Neural Machine Translation

2026-04-27

Abstract excerpt

<title>Abstract</title> <p>Machine Translation (MT) in Natural Language Processing (NLP) seeks to bridge language barriers by developing automated systems capable of translating human languages. Transformer-based Neural Machine Translation (NMT) has surpassed traditional statistical and rule-based approaches in capturing complex linguistic structures and producing high-quality translations. Nevertheless, NMT stil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5373f815-ef84-54c9-bd39-3b521f0a05c9
DOI: 10.21203/rs.3.rs-9389246/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Optimized Approach for Handling Limited Vocabulary Constraints and Word Order Divergence in English-Urdu Neural Machine TranslationDOI 10.21203/rs.3.rs-9389246/v1Read

Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast IndiaSemantic proximity Read

A BLEU-Based Comparative Analysis of Human and ChatGPT 4.0 Translation in Kumpulan Lagu dan Cerita Anak- anak DwibahasaSemantic proximity Read

Improved Value Alignment in Large Language Models Using Variational Best-of-N TechniquesSemantic proximity Read

Engineering A Large Language Model From ScratchSemantic proximity Read

Upscaling A Smaller LLM to More Parameters via Manual Regressive DistillationSemantic proximity Read

Enhancing Contextual Understanding in Large Language Models with Dynamic Dependency Structures: A Methodological ApproachSemantic proximity Read

Character Semantic-Phonetic Structure Enhance Language Models in Classical ChineseSemantic proximity Read

Optimizing Large Language Model Scaling with Micro Batch Pipeline and Inference ParallelismSemantic proximity Read

Optimizing Human-Controlled Preference Alignment in Large Language Models via Dense Token Masking: A Methodological ApproachSemantic proximity Read

Enhancing Transformer-Based Language Models for Hungarian Handwritten Text RecognitionSemantic proximity Read

Unified Efficient Fine-Tuning Techniques for Open-Source Large Language ModelsSemantic proximity Read