Zhang / Shang / Su | Intelligent Multilingual Information Processing | Buch | 978-981-965122-1 | sack.de

Buch, Englisch, 454 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 709 g

Reihe: Communications in Computer and Information Science

Zhang / Shang / Su

Intelligent Multilingual Information Processing

First International Conference, IMLIP 2024, Beijing, China, November 16-17, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-981-965122-1
Verlag: Springer Nature Singapore

First International Conference, IMLIP 2024, Beijing, China, November 16-17, 2024, Proceedings

Buch, Englisch, 454 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 709 g

Reihe: Communications in Computer and Information Science

ISBN: 978-981-965122-1
Verlag: Springer Nature Singapore


This CCIS post conference volume constitutes the proceedings of the First International Conference on Intelligent Multilingual Information Processing, IMLIP 2024, in Beijing, China, during November 2024. 

The 30 full papers presented at IMLIP 2024 were carefully reviewed and selected from 144 submissions. The papers contained in these proceedings address challenging issues in Cross-lingual processing, Large language models, Computational linguistics theory, Resource and corpus construction, Evaluation, Multilingual language understanding, Machine translation, as well as the fundamentals and applications of Multimodal intelligent information processing.

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Research

Weitere Infos & Material


.- Oral.

.- Does AI Write More Accurately in Japanese Than Humans?A Comparison of Human and AI Speech Levels and Speech-Level Shifts in Japanese Compositions.

.- Empirical Study on Translating Toxic Sentences with Large Language Model vs. Machine Translation.

.- Leveraging Pre-trained Language Models for Mongolian Intent Classiffcation and Slot Filling.

.- MIPS: Multilingual Inference Paradigm in Zero-Shot Cross-Lingual Stance Detection with

Contrastive Learning.

.- TibInkTrans: A Top-k Integrated Transformer for Enhancing Tibetan Document Images Affected by Ink Bleed.

.- Poster.

.- A Multi-Dialect Tibetan-Chinese Speech Translation Dataset Based on Speech Synthesis.

.- A Study of Central Nodes in the Interlanguage Syntactic Dependency Networks of Japanese CFL Learners.

.- Addressing Syntactic Divergence in Low-Resource Neural Machine Translation via Language Independent Word Reordering.

.- Character-level Generative Network for Vietnamese Spelling Error Correction .

.- Cognitive Mechanism  of Focus and Pauses in the Mandarin Declaratives.

.- Dataset construction for learner-based Chinese answering questions scoring.

.- Domain-Oriented Chinese Named Entity Recognition Based on Enhanced Word-Word Relation Classiffcation.

.- Emotion in Real-Scene Transformerfor Speech Emotion Recognition.

.- EmpLLM: Enhancing Empathy in LLMs through Psychologist Simulation.

.- Enhancing Chinese-Turkish Neural Machine Translation through Bilingual Dictionary and Contrastive Learning



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