The Language Essence of the World: A Linguistic Interpretation of the Large Language Model
Computer Sciences & Mathematics Forum, 2023 The source of characters is hieroglyph. Hieroglyph is the imitation and reference of the phenomena and objects in the natural world. The objects and phenomena in the natural world are the original image.
Leiming Shi, Peng Wu
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Joint morphological-lexical language modeling for processing morphologically rich languages with application to dialectal Arabic [PDF]
, 2007 Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology.
Afify, Mohamed +6 more
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A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
, 2018 We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry +2 more
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RNN Language Model with Word Clustering and Class-based Output Layer [PDF]
, 2013 The recurrent neural network language model (RNNLM) has shown significant promise for statistical language modeling. In this work, a new class-based output layer method is introduced to further improve the RNNLM. In this method, word class information is
Johnson, Michael T +3 more
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RELEASE: A High-level Paradigm for Reliable Large-scale Server Software [PDF]
, 2012 Erlang is a functional language with a much-emulated model for building reliable distributed systems. This paper outlines the RELEASE project, and describes the progress in the first six months.
A. Leung +14 more
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Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]
, 2018 Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches.
Barnes, Jeremy +2 more
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Quantum picturalism for topological cluster-state computing
, 2020 Topological quantum computing is a way of allowing precise quantum computations to run on noisy and imperfect hardware. One implementation uses surface codes created by forming defects in a highly-entangled cluster state.
Abramsky S +15 more
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Attention is All Large Language Model Need [PDF]
ITM Web of ConferencesWith the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models.
Liu Yuxin
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Large Margin Neural Language Model
, 2018 We propose a large margin criterion for training neural language models. Conventionally, neural language models are trained by minimizing perplexity (PPL) on grammatical sentences.
Huang, Jiaji +3 more
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LLMPC: Large Language Model Predictive Control
ComputersRecent advancements in planning prompting techniques for Large Language Models have improved their reasoning, planning, and action abilities. This paper develops a planning framework for Large Language Models using model predictive control that enables ...
Gabriel Maher
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