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Found 7 papers, 0 papers with code
nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation
This paper reports on the implementation and deployment of an MT system in the Polish branch of EY Global Limited.
POLENG MT: An Adaptive MT Platform
We introduce POLENG MT, an MT platform that may be used as a cloud web application or as an on-site solution.
Challenging America: Modeling language in longer time scales
The aim of the paper is to apply, for historical texts, the methodology used commonly to solve various NLP tasks defined for contemporary data, i. e. pre-train and fine-tune large Transformer models.
Neural Machine Translation with Inflected Lexicon
The paper presents experiments in neural machine translation with lexical constraints into a morphologically rich language.
Neural Translator Designed to Protect the Eastern Border of the European Union
To this end, a method based on constrained decoding that incorporates an inflected lexicon into a neural translation process was applied in the engine.
Two Approaches to Diachronic Normalization of Polish Texts
This paper discusses two approaches to the diachronic normalization of Polish texts: a rule-based solution that relies on a set of handcrafted patterns, and a neural normalization model based on the text-to-text transfer transformer architecture.
Detection of Criminal Texts for the Polish State Border Guard
We share this dataset and create a new task for the detection of criminal texts using the Gonito platform as the benchmark.
