11 citations · 16 across the 9 of their papers we have counts for
7 papers · 1 filter
Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models
Kamer Ali Yuksel, Ahmet Gunduz, Abdul Baseet Anees +1
This paper introduces an advanced methodology for machine translation (MT) corpus generation, integrating semi-automated, human-in-the-loop post-editing with large language models…
MediaMind: Revolutionizing Media Monitoring using Agentification
Ahmet Gunduz, Kamer Ali Yuksel, Hassan Sawaf
In an era of rapid technological advancements, agentification of software tools has emerged as a critical innovation, enabling systems to function autonomously and adaptively. This…
AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost
Ahmet Gündüz, Yunsu Kim, Kamer Ali Yuksel +3
We present AutoMode-ASR, a novel framework that effectively integrates multiple ASR systems to enhance the overall transcription quality while optimizing cost. The idea is to train…
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision
Kamer Ali Yuksel, Thiago Ferreira, Ahmet Gunduz +2
The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using manual ground-…
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning
Kamer Ali Yuksel, Thiago Ferreira, Golara Javadi +2
This paper introduces NoRefER, a novel referenceless quality metric for automatic speech recognition (ASR) systems. Traditional reference-based metrics for evaluating ASR systems r…
Efficient Machine Translation Corpus Generation
Kamer Ali Yuksel, Ahmet Gunduz, Shreyas Sharma +1
This paper proposes an efficient and semi-automated method for human-in-the-loop post-editing for machine translation (MT) corpus generation. The method is based on online training…
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only
Kamer Ali Yuksel, Ahmet Gunduz, Mohamed Al-Badrashiny +2
This paper presents EvolveMT for efficiently combining multiple machine translation (MT) engines. The proposed system selects the output from a single engine for each segment by ut…