Ahmed Ali

WERD: Using social text spelling variants for evaluating dialectal speech recognition

2017 · 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

We study the problem of evaluating automatic speech recognition (ASR) systems that target dialectal speech input. A major challenge in this case is that the orthography of dialects is typically not standardized. From an ASR …

Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign

2018 · Työväentutkimus Vuosikirja

We present the results and the findings of the Second VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects. The campaign was organized as part of the fifth edition of …

Domain Attentive Fusion for End-to-end Dialect Identification with\n Unknown Target Domain

2018 · arXiv (Cornell University)

End-to-end deep learning language or dialect identification systems operate\non the spectrogram or other acoustic feature and directly generate\nidentification scores for each class. An important issue for end-to-end systems\nis to have some knowledge of the application …

Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task

2016 · International Conference on Computational Linguistics

We present the results of the third edition of the Discriminating between Similar Languages (DSL) shared task, which was organized as part of the VarDial’2016 workshop at COLING’2016. The challenge offered two subtasks: subtask 1 …

Convolutional Neural Network and Language Embeddings for End-to-End Dialect Recognition

2018

Dialect identification (DID) is a special case of general language identification (LID), but a more challenging problem due to the linguistic similarity between dialects. In this paper, we propose an end-to-end DID system and a …