paper-with-me

Papers

An Arabic Multi-Domain Spoken Language Understanding System

2019-09-01 · WS 2019 9 · Mohamed Lichouri, Mourad Abbas, Rachida Djeradi, Amar Djeradi
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Spoken Language Understanding

Similar Papers 제목 키워드 기반

Arabic Inquiry-Answer Dialogue Acts Annotation Schema

2015-05-15 · AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith

We present an annotation schema as part of an effort to create a manually annotated corpus for Arabic dialogue language understanding including spoken dialogue and written "chat" dialogue for inquiry-answer domain. The p…

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation

2025-08-18 · Kareem Elozeiri, Mervat Abassy, Preslav Nakov, Yuxia Wang arxiv

Commonsense validation evaluates whether a sentence aligns with everyday human understanding, a critical capability for developing robust natural language understanding systems. While substantial progress has been made i…

Natural Language Understanding

ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus

2024-03-27 · Injy Hamed, Fadhl Eryani, David Palfreyman, Nizar Habash

We present ZAEBUC-Spoken, a multilingual multidialectal Arabic-English speech corpus. The corpus comprises twelve hours of Zoom meetings involving multiple speakers role-playing a work situation where Students brainstorm…

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)LemmatizationPart-Of-Speech Tagging+2

AIN: The Arabic INclusive Large Multimodal Model

2025-01-31 · Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, Fahad Shahbaz Khan 외

Amid the swift progress of large language models (LLMs) and their evolution into large multimodal models (LMMs), significant strides have been made in high-resource languages such as English and Chinese. While Arabic LLM…

document understandingmodelVideo Understanding

WASIL: In-the-Wild Arabic Spoken Interactions with LLMs

2026-05-09 · Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, Hunzalah Hassan Bhatti 외 arxiv

Large Language Models (LLMs) voice assistants are commonly built as cascaded Automatic Speech recognition (ASR) to LLM systems, where recognition errors can distort user intent. Dislikes may also arise from ambiguous, ou…

Speech Recognition