# JESC: Japanese-English Subtitle Corpus

arXiv: https://arxiv.org/abs/1710.10639 · HTML: https://mlsanity.com/paper/1710.10639/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Oct 2017.

## Built on by (most cited first, 16 of 16)

- [MADLAD-400: A Multilingual And Document-Level Large Audited Dataset](https://mlsanity.com/paper/2309.04662/) (2023)
- [MURAL: Multimodal, Multitask Retrieval Across Languages](https://mlsanity.com/paper/2109.05125/) (2021)
- [JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus](https://mlsanity.com/paper/2202.12607/) (2022)
- [Controlling Translation Formality Using Pre-trained Multilingual Language Models](https://mlsanity.com/paper/2205.06644/) (2022)
- [SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes](https://mlsanity.com/paper/2212.09305/) (2022)
- [Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data](https://mlsanity.com/paper/2407.03145/) (2024)
- [llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology](https://mlsanity.com/paper/2305.12720/) (2023)
- [KazParC: Kazakh Parallel Corpus for Machine Translation](https://mlsanity.com/paper/2403.19399/) (2024)
- [MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://mlsanity.com/paper/2505.19800/) (2025)
- [Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement](https://mlsanity.com/paper/2110.09646/) (2021)
- [Ask Language Model to Clean Your Noisy Translation Data](https://mlsanity.com/paper/2310.13469/) (2023)
- [Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair](https://mlsanity.com/paper/2404.12299/) (2024)
- [Misspellings in Natural Language Processing: A survey](https://mlsanity.com/paper/2501.16836/) (2025)
- [MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines](https://mlsanity.com/paper/2506.04848/) (2025)
- [Repairing Pronouns in Translation with BERT-Based Post-Editing](https://mlsanity.com/paper/2103.12838/) (2021)
- [Learning Neural Models for Natural Language Processing in the Face of Distributional Shift](https://mlsanity.com/paper/2109.01558/) (2021)

## Abstract (arXiv)

In this paper we describe the Japanese-English Subtitle Corpus (JESC). JESC is a large Japanese-English parallel corpus covering the underrepresented domain of conversational dialogue. It consists of more than 3.2 million examples, making it the largest freely available dataset of its kind. The corpus was assembled by crawling and aligning subtitles found on the web. The assembly process incorporates a number of novel preprocessing elements to ensure high monolingual fluency and accurate bilingual alignments. We summarize its contents and evaluate its quality using human experts and baseline machine translation (MT) systems.