Categories: FAANG

Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation

Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds additional challenges such as noisy data and segmentation mismatches. We take first steps to fill this gap by conducting a comprehensive human evaluation of the results of several shared tasks from the last International Workshop on Spoken Language Translation (IWSLT 2023). We propose an effective evaluation strategy based on automatic resegmentation…
AI Generated Robotic Content

Recent Posts

The Essential Calvin & Hobbes – FLUX.2 Klein 9b Base -> 4x upscaler

submitted by /u/AreaFifty1 [link] [comments]

22 hours ago

Building a Context Pruning Pipeline for Long-Running Agents

Modern AI agents built on top of large language models (LLMs) are designed to run…

22 hours ago

Training Azerbaijani language models on Amazon SageMaker AI

This solution builds on open source tools including PyTorch, Hugging Face Transformers, and Liger Kernels.…

22 hours ago

AI in SRE: Where and how Google is deploying agentic AI to improve operations

Since its inception over 20 years ago, Google has used Site Reliability Engineering (SRE) to…

22 hours ago

The GOP’s Attacks on James Talarico Are Straight Out of the Incel Handbook

Claims about low testosterone and false accusations of veganism might play well to the online…

23 hours ago

Filtering out humanity: AI-assisted internet research favors cold logic over ethos and pathos

Is the internet losing its soul? A collaborative study by UC Riverside computer and social…

23 hours ago