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"Translating and interpreting Computer network resources."
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Trends in E-Tools and Resources for Translators and Interpreters
Trends in E-Tools and Resources for Translators and Interpreters offers a collection of contributions from key players in the field of translation and interpreting that accurately outline some of the most cutting-edge technologies in this field.
eBook
Solar Irradiance Forecasting with Natural Language Processing of Cloud Observations and Interpretation of Results with Modified Shapley Additive Explanations
Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance at the tilted plane of the solar panel on the Earth’s surface. One of the key factors is cloudiness, which can be presented not only as a percentage of the sky area covered by clouds but also many additional parameters, such as the type of clouds, the distribution of clouds across atmospheric layers, and their height. The use of machine learning algorithms to forecast the generation of solar power plants requires retrospective data over a long period and formalising the features; however, retrospective data with detailed information about cloudiness are normally recorded in the natural language format. This paper proposes an algorithm for processing such records to convert them into a binary feature vector. Experiments conducted on data from a real solar power plant showed that this algorithm increases the accuracy of short-term solar irradiance forecasts by 5–15%, depending on the quality metric used. At the same time, adding features makes the model less transparent to the user, which is a significant drawback from the point of view of explainable artificial intelligence. Therefore, the paper uses an additive explanation algorithm based on the Shapley vector to interpret the model’s output. It is shown that this approach allows the machine learning model to explain why it generates a particular forecast, which will provide a greater level of trust in intelligent information systems in the power industry.
Journal Article
Translation-mediated Communication in a Digital World
The Internet is accelerating globalization by exposing
organizations and individuals to global audiences. This in turn
is driving teletranslation and teleinterpretation, new types of
multilingual support, which are functional in digital
communications environments. The book describes teletranslation
and teleinterpretation by exploring a number of key emerging
contexts for language professionals.
eBook
Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages
In the domain of natural language processing (NLP), the development and success of advanced language models are predominantly anchored in the richness of available linguistic resources. Languages such as Azerbaijani, which is classified as a low-resource, often face challenges arising from limited labeled datasets, consequently hindering effective model training.
The primary objective of this study was to enhance the effectiveness and generalization capabilities of news text classification models using text augmentation techniques. In this study, we solve the problem of working with low-resource languages using translations using the Facebook mBart50 model, as well as the Google Translate API and a combination of mBart50 and Google Translate thus expanding the capabilities when working with text.
The experimental outcomes reveal a promising uptick in classification performance when models are trained on the augmented dataset compared with their counterparts using the original data. This investigation underscores the immense potential of combined data augmentation strategies to bolster the NLP capabilities of underrepresented languages. As a result of our research, we have published our labeled text classification dataset and pre-trained RoBERTa model for the Azerbaijani language.
Journal Article
The interpreter's resource
The Interpreter’s Resource provides a comprehensive overview of interpreting at the start of the twenty first century. As well as explaining the different types of interpreting and their uses, it contains a number of Codes of Ethics, information on Community Interpreting around the world and detailed coverage of international organisations, which employ interpreters.
eBook