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Issues Pull requests Discussions Web Experience Toolkit (WET): Open source code library for building innovative websites that are accessible, usable, interoperable, mobile-friendly and multilingual. This collaborative open source project is led by the Government of Canada. ...
Lucia Specia, the article discusses the intricacies of working with multilingual data, including issues of disambiguation and model design. Additionally, it explores the opportunities presented by advancements in ANUG, emphasizing the need for collaborative efforts and increased research focus on Arabic ...
the improvement of Question Answering (QA) systems3or the creation of new automatic evaluation metrics4. Additionally, QG contributes to the appearance of newer fact verification techniques5and to the automatization of some educational issues. Particularly, in the field ...
voice or any other ways you want. The Speech Analytics system can accurately detect non-compliant behaviors in sales calls, optimizing the process of KYC and AML, so as to reduce fines or lawsuits caused by compliance issues and improve the quality of customer services. Our Voice Biometrics tec...
Lastly, considering the computational costs, our final model is in 8B scale, in the future, we will switch the training progress to a larger architecture with retrieval augmentation, which can potentially achieve better results, while alleviating hallucination issues. ...
In this chapter we report on a simulation-based experiment which was set up to test a custom-made multilingual app. The app had been designed to facilitate... EV Praet,JD Wilde,A Karanfil - Multilingual Healthcare 被引量: 0发表: 2020年 Issues in resolving word sense disambiguation for mult...
In addition to resource creation, the task of sentiment classification in Hindi Language has also been taken up. The merits and demerits of each of the above approaches across the different genres for the sentiment classification task have also been studied. The problems and the issues with the ...
To address these issues, we leverage a variant of the Interquartile Range (IQR) method (Dekking et al., 2007) to select appropriate thresholds for the filtering metrics for our dataset. For each metric and language, we generate a distribution of its possible values across the entire dataset ...
Multilingual language models are widely used to extend NLP systems to low-resource languages. However, concrete evidence for the effects of multilinguality on language modeling performance in individual languages remains scarce. Here, we pre-train over 10,000 monolingual and multilingual language models...