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Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness
Recent advancements in Natural Language Processing (NLP) have seen Large-scale Language Models (LLMs) excel at producing high-quality text for various purposes.
Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
In order to assess the performance, we construct model based on an attention mechanism encoder-decoder model in which the source language is input to the encoder as a sequence and the decoder generates the target language as a linearized dependency tree structure.
Identification of Flexible Multiword Expressions with the Help of Dependency Structure Annotation
This paper presents our ongoing work on compilation of English multi-word expression (MWE) lexicon.
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