Results 21 to 30 of about 788,180 (266)
Objective. Today, significant and in many ways sensational results are being achieved in the field of artificial intelligence systems, and the ChatGPT bot, which is based on the GPT-3 neural network, is called a real revolution in the world of technology.
D. A. Machueva +2 more
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Techniques and components for natural language processing
A dramatic change in the abilities of language models to provide state of the art accuracy in a number of Natural Language Processing tasks is currently observed. These improvements open a lot of possibilities in solving NLP downstream tasks.
O. Iosifova, I. Iosifov, O. Rolik
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Advanced NLP Procedures as Premises for the Reconstruction of the Idea of Knowledge
This paper evaluates artificial texts produced by the GPT 2 and GPT 3 language models and proposes to use hermeneutic tools for their analysis, putting them on an equal footing with man-made texts.
Rafal Maciag
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Modelling Interleaved Activities Using Language Models
We propose a new approach to activity discovery, based on the neural language modelling of streaming sensor events. Our approach proceeds in multiple stages: we build binary links between activities using probability distributions generated by a neural language model trained on the dataset, and combine the binary links to produce complex activities. We
Rogers, Eoin +2 more
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Exploring Pre-Trained Model and Language Model for Translating Image to Bahasa
In the last decade, there have been significant developments in Image Caption Generation research to translate images into English descriptions. This task has also been conducted to produce texts in non-English, including Bahasa.
Ade Nurhopipah +2 more
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Impact of ChatGPT technology on economic development
Introduction. Widespread digitalization leads to the creation of new technologies. At the present stage, artificial intelligence has been introduced into all spheres of public life: education, medicine, mechanical engineering and agriculture.
V. А. Grudinina, I. V. Merkulova
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Productivity and Predictability for Measuring Morphological Complexity
We propose a quantitative approach for quantifying morphological complexity of a language based on text. Several corpus-based methods have focused on measuring the different word forms that a language can produce.
Ximena Gutierrez-Vasques +1 more
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Language-Agnostic Multilingual Modeling [PDF]
Multilingual Automated Speech Recognition (ASR) systems allow for the joint training of data-rich and data-scarce languages in a single model. This enables data and parameter sharing across languages, which is especially beneficial for the data-scarce languages.
Datta, Arindrima +4 more
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German’s Next Language Model [PDF]
Accepted by ...
Chan, Branden +2 more
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Customization of the ASR System for ATC Speech with Improved Fusion
In recent years, automatic speech recognition (ASR) technology has improved significantly. However, the training process for an ASR model is complex, involving large amounts of data and a large number of algorithms.
Jiahao Fan, Weijun Pan
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