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Found 8 papers, 1 papers with code
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar
Given this situation, we proposed a transliteration method based on subword-level language identification.
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
In Simultaneous Machine Translation (SiMT) systems, training with a simultaneous interpretation (SI) corpus is an effective method for achieving high-quality yet low-latency systems.
Artwork Explanation in Large-scale Vision Language Models
To address this issue, we propose a new task: the artwork explanation generation task, along with its evaluation dataset and metric for quantitatively assessing the understanding and utilization of knowledge about artworks.
Evaluating Image Review Ability of Vision Language Models
Large-scale vision language models (LVLMs) are language models that are capable of processing images and text inputs by a single model.
Centroid-Based Efficient Minimum Bayes Risk Decoding
Minimum Bayes risk (MBR) decoding achieved state-of-the-art translation performance by using COMET, a neural metric that has a high correlation with human evaluation.
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
Knowledge Graph Completion (KGC) is a task that infers unseen relationships between entities in a KG.
Universal Automatic Phonetic Transcription into the International Phonetic Alphabet
This paper presents a state-of-the-art model for transcribing speech in any language into the International Phonetic Alphabet (IPA).
FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks
Therefore, the proposed algorithm FG-SSA has an effect on finding and removing signals that are not important for CNN-based classification.
