Výsledky vyhledávání - "Mahmudi, Aso"

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End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach

Autor: Abdullah, Abdulhady Abas, Tabibian, Shima, Veisi, Hadi, Mahmudi, Aso, Rashid, Tarik

Automatic Speech Recognition (ASR) for low-resource languages remains a challenging task due to limited training data. This paper introduces a comprehensive study exploring the effectiveness of Whisper, a pre-trained ASR model, for Northern Kurdish (

Externí odkaz: http://arxiv.org/abs/2410.16330

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Can a Neural Model Guide Fieldwork? A Case Study on Morphological Inflection

Autor: Mahmudi, Aso, Herce, Borja, Amestica, Demian Inostroza, Scherbakov, Andreas, Hovy, Eduard, Vylomova, Ekaterina

Linguistic fieldwork is an important component in language documentation and preservation. However, it is a long, exhaustive, and time-consuming process. This paper presents a novel model that guides a linguist during the fieldwork and accounts for t

Externí odkaz: http://arxiv.org/abs/2409.14628

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Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language

Autor: Merx, Raphaël, Mahmudi, Aso, Langford, Katrina, de Araujo, Leo Alberto, Vylomova, Ekaterina

This study explores the use of large language models (LLMs) for translating English into Mambai, a low-resource Austronesian language spoken in Timor-Leste, with approximately 200,000 native speakers. Leveraging a novel corpus derived from a Mambai l

Externí odkaz: http://arxiv.org/abs/2404.04809

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Akademický článek

Kurdish end-to-end speech synthesis using deep neural networks

Autor: Muhamad, Sabat Salih, Veisi, Hadi, Mahmudi, Aso, Abdullah, Abdulhady Abas, Rahimi, Farhad

Publikováno v: In Natural Language Processing Journal September 2024 8

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CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish

Autor: Naserzade, Morteza, Mahmudi, Aso, Veisi, Hadi, Hosseini, Hawre, MohammadAmini, Mohammad

A morphological analyzer, which is a significant component of many natural language processing applications especially for morphologically rich languages, divides an input word into all its composing morphemes and identifies their morphological roles

Externí odkaz: http://arxiv.org/abs/2109.08615

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Automatic Meter Classification of Kurdish Poems

Autor: Mahmudi, Aso, Veisi, Hadi

Most of the classic texts in Kurdish literature are poems. Knowing the meter of the poems is helpful for correct reading, a better understanding of the meaning, and avoidance of ambiguity. This paper presents a rule-based method for automatic classif

Externí odkaz: http://arxiv.org/abs/2102.12109

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Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon

Autor: Veisi, Hadi, Hosseini, Hawre, Mohammadamini, Mohammad, Fathy, Wirya, Mahmudi, Aso

In this paper, we introduce the first large vocabulary speech recognition system (LVSR) for the Central Kurdish language, named Jira. The Kurdish language is an Indo-European language spoken by more than 30 million people in several countries, but du

Externí odkaz: http://arxiv.org/abs/2102.07412

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