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About


Arabic Speech is a community that runs for the benefit of Arabic Speech Science and Speech Technologies. Arabic speech is concerned with technologies in speech and language processing. Our main focus will be the Arabic language, both standard and dialectal.
Arabic speech will help to build innovation and technology capacities for the Arabic language. It will focus on tackling large-scale computing challenges that address real priorities that will impact people’s life. We address the state of the art as well as the state of the market challenges. We help to push the boundaries for Arabic speech to make it world-class technology.
Automatic Speech Recognition

Automatic Speech Recognition (ASR) is the process of converting the speech signal into its corresponding text. The quality of ASR systems is measured by how close their recognized sequences of words are to human recognized sequences of words.

Arabic Dialect Identifcation

Dialect identification (DID) is a special case of Language identification (LID) problem. This is the process of automatically identifying the language class for a given speech segment.

Text to Speech

The Text to Speech (TTS) technology aims to convert a sequence of words into speech.

Language Models

Language Models are building block of many speech and NLP technology that aims at accurately estimating the probability distribution of a word sequences or sentences produced in a natural language

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New Year, New Arabic Models 🥳

@aubmindlab,@fadybaly,and I are happy to release 10 new Arabic Transformer Models on @huggingface🤗

- AraGPT2: Mega (1.46B), Large(792M), Medium(370M), Base (135M)
- AraELECTRA: Base (135M)
- AraBERTv2,v0.2: Large (371M),Base (136M)
#ArabicNLP
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🙌🙌🏽Happy New Year!!
I'm thrilled to share new paper w/@arelmadany & @e_nagoudi: "ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic". Two powerful language models; new benchmark for Arabic NLU (ArBench) covering 5 different tasks; new SOTAs. 1/n #NLProc #ArabicNLP

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Here's the 2020 release of draft chapters for Speech and Language Processing, just in time to wish you all a Happy New Year! Enjoy! https://web.stanford.edu/~jurafsky/slp3/

The submission deadline for the 6th Arabic Natural Language Processing Workshop #WANLP2021 has been extended.

New deadline: 1 Feb 2021

Submission options:
- Long papers (8 pages)
- Short/demo/shared-task papers (4 pages)

https://sites.google.com/view/wanlp2021

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