Call for Abstract: Poster Presentation

We cordially invite you to submit an Abstract for Poster Presentation at this year’s event.  The topics of the conference cover all aspect of Asian Language Processing, Including, but not limited to the listed below:

A. Speech:

• Spoken language processing
• Spoken language understanding
• Spoken language generation
• Spoken language translation
• Speech recognition and synthesis
• Rich transcription and spoken information retrieval
• Multimodal representations and processing
• Speaker diariazation and speech enhancement
• Speaker recognition and anti-spoofing
• Trustworthy speech technology

B. Natural Language Processing (NLP):

• Dialogue and interactive systems
• Evaluation methods and user studies
• Information extraction, retrieval, and text mining
• Interpretability and analysis of models for NLP
• Language modeling and statistical methods for NLP
• Machine learning for Natural Language Processing
• Machine translation and multilingual processing
• NLP in vertical domains, such as biomedical, chemical, and legal text
• NLP on noisy unstructured text, such as email, blogs, and SMS
• Natural language applications, tools, and resources
• Question answering
• Sentiment analysis, stylistic analysis, and argument mining
• Tagging, chunking, and parsing
• Text entailment, paraphrasing, generation
• Large language models
• Text and speech resource development

C. Linguistics:

• Asian language input, output, coding, etc.
• Computational linguistics and mathematical linguistics
• Discourse and pragmatics
• Language learning, teaching, and computer-aided language learning
• Lexical semantics, sentence-level semantics, and textual inference
• Linguistic theories, cognitive modeling, and psycholinguistics
• Phonology, morphology, and word segmentation
• Special hardware and software for Asian language computing

Submission Guidelines

• An individual may submit a maximum of two abstracts.
• Abstract should NOT exceed 250 words and DO NOT include tables, figures, or graphs.
• Submit your abstract using the following online form.