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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

IEEE Transactions on Audio, Speech, and Language Processing, 2023
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a ...
Chengyi Wang   +12 more
semanticscholar   +1 more source

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

International Conference on Language Resources and Evaluation, 2021
Mental health is a critical issue in modern society, and mental disorders could sometimes turn to suicidal ideation without adequate treatment. Early detection of mental disorders and suicidal ideation from social content provides a potential way for ...
Shaoxiong Ji   +5 more
semanticscholar   +1 more source

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

International Conference on Language Resources and Evaluation, 2021
Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on ...
Francesco Barbieri   +2 more
semanticscholar   +1 more source

Dual-representation structural MRI classification of psychiatric disorders using deep learning and large language models.

Psychiatry research. Neuroimaging
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations.
H. Nogay, H. Adeli
semanticscholar   +1 more source

Partnering with AI: Intelligent writing assistance and instructed language learning

Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing.
Robert Godwin-Jones
semanticscholar   +1 more source

Semantic Connection in Kazakh and Nogai Languages

Iasaýı ýnıversıtetіnіń habarshysy
The article examines the Kazakh and Nogai languages, which according to the classification of Turkic languages, belong to the Kipchak branch. A lexico-semantic analysis of common nouns in these languages was conducted to determine their specific features.
null Assenova A.Kh.   +2 more
openaire   +1 more source

Semanticization of Certain Lexical Units in the Nogai Language

Iasaýı ýnıversıtetіnіń habarshysy
The article examines the semantic nature of certain linguistic units in the related Nogai language, which belongs to the Kipchak branch. The primary focus of the study is to expand the scope of comparative linguistics, lexicology and semasiology in Turkic languages, exploring the general principles of meaning and the process of semanticization.
A.Kh. Assenova   +2 more
openaire   +1 more source

The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements

Language Teaching Research, 2020
This study examined the role of growth mindset, self-efficacy, and intrinsic value in self-regulated learning (SRL) and English language learning achievements in Hong Kong primary school students.
Barry Bai, Jing Wang
semanticscholar   +1 more source

Flipped classroom in English language teaching: a systematic review

Computer Assisted Language Learning, 2020
The aim of this study is to examine the trends and main findings of the studies concerning the flipped classroom method in the field of English language teaching (ELT).
Z. Turan, Birgul Akdag-Cimen
semanticscholar   +1 more source

Sintaxis Nogay Language: History Explore

2020
The article discusses the history of the study of the syntactic structure of the Nogai language, one of the languages of the Turkic family. The first brief information about the syntax of the Nogai language is available in the writings of Professor N. A. Baskakova. Systematic study.
openaire   +1 more source

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