activity
20142023
most citedTranslation Quality Assessment: A Brief Survey on Manual and Automatic Methods

19 citations · 67 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CL2023★ 2 cited

Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method

Bernadeta Griciūtė, Lifeng Han, Goran Nenadic

Topic Modelling (TM) is from the research branches of natural language understanding (NLU) and natural language processing (NLP) that is to facilitate insightful analysis from larg…

cs.CL2022★ 2 cited

HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions

Lifeng Han

With the fast development of Machine Translation (MT) systems, especially the new boost from Neural MT (NMT) models, the MT output quality has reached a new level of accuracy. Howe…

cs.CL2022★ 3 cited

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It

Lifeng Han, Gleb Erofeev, Irina Sorokina +2

Pre-trained language models (PLMs) often take advantage of the monolingual and multilingual dataset that is freely available online to acquire general or mixed domain knowledge bef…

cs.CL2022★ 3 cited

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition

Samuel Belkadi, Lifeng Han, Yuping Wu +1

The practice of fine-tuning Pre-trained Language Models (PLMs) from general or domain-specific data to a specific task with limited resources, has gained popularity within the fiel…

cs.CL2022★ 6 cited

An Overview on Machine Translation Evaluation

Lifeng Han

Since the 1950s, machine translation (MT) has become one of the important tasks of AI and development, and has experienced several different periods and stages of development, incl…

cs.CL2021★ 4 cited

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation

Serge Gladkoff, Lifeng Han

Traditional automatic evaluation metrics for machine translation have been widely criticized by linguists due to their low accuracy, lack of transparency, focus on language mechani…

cs.CL2021

Measuring Uncertainty in Translation Quality Evaluation (TQE)

Serge Gladkoff, Irina Sorokina, Lifeng Han +1

From both human translators (HT) and machine translation (MT) researchers' point of view, translation quality evaluation (TQE) is an essential task. Translation service providers (…

cs.CL2021★ 3 cited

cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE

Lifeng Han, Irina Sorokina, Gleb Erofeev +1

Human evaluation has always been expensive while researchers struggle to trust the automatic metrics. To address this, we propose to customise traditional metrics by taking advanta…

cs.CL2021★ 19 cited

Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton

To facilitate effective translation modeling and translation studies, one of the crucial questions to address is how to assess translation quality. From the perspectives of accurac…

cs.CL2021★ 4 cited

Chinese Character Decomposition for Neural MT with Multi-Word Expressions

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton +1

Chinese character decomposition has been used as a feature to enhance Machine Translation (MT) models, combining radicals into character and word level models. Recent work has inve…

cs.CL2020★ 6 cited

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton

Multi-word expressions (MWEs) are a hot topic in research in natural language processing (NLP), including topics such as MWE detection, MWE decomposition, and research investigatin…

cs.CL2018

Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level

Lifeng Han, Shaohui Kuang

In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-vocabulary OOV) words translation. To solve this, some researchers propose the splitting o…

cs.CL2017★ 8 cited

LEPOR: An Augmented Machine Translation Evaluation Metric

Lifeng Han

Machine translation (MT) was developed as one of the hottest research topics in the natural language processing (NLP) literature. One important issue in MT is that how to evaluate…

cs.CR2014★ 7 cited

Password Cracking and Countermeasures in Computer Security: A Survey

Lifeng Han

With the rapid development of internet technologies, social networks, and other related areas, user authentication becomes more and more important to protect the data of users. Pas…