19 citations · 67 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…