7 papers
RT-SFT: Text Style Transfer from Non-Parallel Corpora by Roundtrip Translation
Ruoxi Liu, Philipp Koehn
Text style transfer (TST) is naturally a supervised task - rewrite a sentence in a target style while preserving its meaning - yet the parallel corpora that supervision requires ex…
HadaSmileNet: Hadamard fusion of handcrafted and deep-learning features for enhancing facial emotion recognition of genuine smiles
Mohammad Junayed Hasan, Nabeel Mohammed, Shafin Rahman +1
The distinction between genuine and posed emotions represents a fundamental pattern recognition challenge with significant implications for data mining applications in social scien…
Speech Vecalign: an Embedding-based Method for Aligning Parallel Speech Documents
Chutong Meng, Philipp Koehn
We present Speech Vecalign, a parallel speech document alignment method that monotonically aligns speech segment embeddings and does not depend on text transcriptions. Compared to…
Objective Evaluation of Prosody and Intelligibility in Speech Synthesis via Conditional Prediction of Discrete Tokens
Ismail Rasim Ulgen, Zongyang Du, Junchen Lu +2
Objective evaluation of synthesized speech is critical for advancing speech generation systems, yet existing metrics for intelligibility and prosody remain limited in scope and wea…
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation
Shijie Zhang, Renhao Li, Songsheng Wang +3
The advancement of Large Language Models (LLMs) enables flexible and interpretable automatic evaluations. In the field of machine translation evaluation, utilizing LLMs with transl…
Designing an Evaluation Framework for Large Language Models in Astronomy Research
John F. Wu, Alina Hyk, Kiera McCormick +15
Large Language Models (LLMs) are shifting how scientific research is done. It is imperative to understand how researchers interact with these models and how scientific sub-communit…
Neural Machine Translation
Philipp Koehn
Draft of textbook chapter on neural machine translation. a comprehensive treatment of the topic, ranging from introduction to neural networks, computation graphs, description of th…