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Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task
This paper describes our submission to the WMT2021 shared metrics task.
Is This Translation Error Critical?: Classification-Based Human and Automatic Machine Translation Evaluation Focusing on Critical Errors
Our classification-based approach focuses on such errors using several error type labels, for practical machine translation evaluation in an age of neural machine translation.
Pretraining and Updating Language- and Domain-specific Large Language Model: A Case Study in Japanese Business Domain
This study explores the combination of a non-English language and a high-demand industry domain, focusing on a Japanese business-specific LLM.
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model
This paper presents a simple and cost-effective method for synthesizing data to train question-answering systems.
Structure of Multiple Mirror System from Kaleidoscopic Projections of Single 3D Point
The kaleidoscopic imaging system can be recognized as the virtual multi-camera system and has strong advantages in that the virtual cameras are strictly synchronized and have the same intrinsic parameters.
Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model
Our experiments show that our proposed method using Cross-lingual Language Model (XLM) trained with a translation language modeling (TLM) objective achieves a higher correlation with human judgments than a baseline method that uses only hypothesis and reference sentences.
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point
This paper proposes a new extrinsic calibration of kaleidoscopic imaging system by estimating normals and distances of the mirrors.
