An overview on machine translation evaluation
L Han - arXiv preprint arXiv:2202.11027, 2022 - arxiv.org
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 …
development, and has experienced several different periods and stages of development …
Breaking the representation bottleneck of Chinese characters: Neural machine translation with stroke sequence modeling
Existing research generally treats Chinese character as a minimum unit for representation.
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …
Measuring uncertainty in translation quality evaluation (TQE)
From both human translators (HT) and machine translation (MT) researchers' point of view,
translation quality evaluation (TQE) is an essential task. Translation service providers (TSPs) …
translation quality evaluation (TQE) is an essential task. Translation service providers (TSPs) …
[HTML][HTML] Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning
Clinical text and documents contain very rich information and knowledge in healthcare, and
their processing using state-of-the-art language technology becomes very important for …
their processing using state-of-the-art language technology becomes very important for …
Topic modelling of swedish newspaper articles about coronavirus: a case study using latent dirichlet allocation method
Topic Modelling (TM) is a natural language processing (NLP) method for discovering topics
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
Password cracking and countermeasures in computer security: A survey
L Han - arXiv preprint arXiv:1411.7803, 2014 - arxiv.org
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 …
areas, user authentication becomes more and more important to protect the data of users …
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions
L Han - arXiv preprint arXiv:2211.05201, 2022 - arxiv.org
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 …
from Neural MT (NMT) models, the MT output quality has reached a new level of accuracy …
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?
S Belkadi, L Han, Y Wu, V Antonini… - arXiv preprint arXiv …, 2022 - arxiv.org
Fine-tuning Large Language Models (LLMs) pre-trained from general or related domain
data to a specific domain and task using a limited amount of resources available in the new …
data to a specific domain and task using a limited amount of resources available in the new …
Identification and extraction of multiword expressions from Hindi & Urdu language in natural language processing
Text can be translated from one language to another using statistical machine translation,
but there are still gaps in the translations because of a lack of language resource material …
but there are still gaps in the translations because of a lack of language resource material …
CC-Riddle: A Question Answering Dataset of Chinese Character Riddles
Chinese character riddle is a challenging riddle game which takes a single character as the
solution. The riddle describes the pronunciation, shape and meaning of the solution …
solution. The riddle describes the pronunciation, shape and meaning of the solution …