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20212025
most citedMulti-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean

2 citations · 5 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.CL2025

Exploring Multimodal Perception in Large Language Models Through Perceptual Strength Ratings

Jonghyun Lee, Dojun Park, Jiwoo Lee +2

This study investigated whether multimodal large language models can achieve human-like sensory grounding by examining their ability to capture perceptual strength ratings across s…

cs.CL2025

Evaluating Large language models on Understanding Korean indirect Speech acts

Youngeun Koo, Jiwoo Lee, Dojun Park +2

To accurately understand the intention of an utterance is crucial in conversational communication. As conversational artificial intelligence models are rapidly being developed and…

cs.CL2024

MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models

Dojun Park, Jiwoo Lee, Seohyun Park +5

As the capabilities of Large Language Models (LLMs) expand, it becomes increasingly important to evaluate them beyond basic knowledge assessment, focusing on higher-level language…

cs.CL2024★ 2 cited

Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean

Dojun Park, Sebastian Padó

Almost all frameworks for the manual or automatic evaluation of machine translation characterize the quality of an MT output with a single number. An exception is the Multidimensio…

cs.CL2024★ 1 cited

Pragmatic Competence Evaluation of Large Language Models for the Korean Language

Dojun Park, Jiwoo Lee, Hyeyun Jeong +2

Benchmarks play a significant role in the current evaluation of Large Language Models (LLMs), yet they often overlook the models' abilities to capture the nuances of human language…

cs.CL2022

German Phoneme Recognition with Text-to-Phoneme Data Augmentation

Dojun Park, Seohyun Park

In this study, we experimented to examine the effect of adding the most frequent n phoneme bigrams to the basic vocabulary on the German phoneme recognition model using the text-to…

cs.CL2021★ 2 cited

Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models

Dojun Park, Youngjin Jang, Harksoo Kim

Natural Language Generation (NLG) refers to the operation of expressing the calculation results of a system in human language. Since the quality of generated sentences from an NLG…

cs.CL2021

Korean-English Machine Translation with Multiple Tokenization Strategy

Dojun Park, Youngjin Jang, Harksoo Kim

This work was conducted to find out how tokenization methods affect the training results of machine translation models. In this work, alphabet tokenization, morpheme tokenization,…