Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
Saved in:
| Main Author: | Yongli Tian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161555/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model.
by: Yongli Tian
Published: (2025-01-01) -
An Analysis of Syntactic Complexity in Texts Translated by Google Translate and Human Translator from Arabic into English
by: عزيز محمد عبده سعيد
Published: (2025-02-01) -
Assessing lexical and syntactic simplification in translated English with entropy analysis
by: Zhongliang Wang, et al.
Published: (2025-07-01) -
Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM
by: Weihua Wang
Published: (2024-01-01) -
Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks
by: Sadia Sultana, et al.
Published: (2022-01-01)