Ondřej Bojar · page 2
Papers
- Phrase-Based and Deep Syntactic English-to-Czech Statistical Machine Translation (2008 · 37 citations)
The paper reports two English-to-Czech systems for WMT 2008. The first is a factored phrase-based system in Moses. Its target side is generated in two steps: word forms first, then full morphological tags, with six language models, including 7-gram models over tags. It is the stronger system, at 16.4 BLEU on the… - Automatic MT Error Analysis: Hjerson Helping Addicter (2012 · 17 citations)
The paper presents an open-source tool for detailed MT error analysis. It joins two systems: Hjerson, the automatic classifier from Popović (2011), and Addicter, which brings alignment, a web interface and a corpus browser. Errors are found by comparing the output with the reference through a chosen word alignment… - Current state of LLMs for Arabic dialectal machine translation (2026 · 2 citations)
Jon, Bondok and Bojar ask how well current large language models translate between English and spoken Arabic varieties, as opposed to Modern Standard Arabic. - Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque (2026)
The paper examines whether an English-to-Basque machine translation system can be built without any genuine parallel data, using only Basque monolingual text and LLMs. - Training data generation for context-dependent rubric-based short answer grading (2026)
Automatically grading short open-ended answers needs a lot of domain-specific training data with rubrics and both correct and incorrect answers, but suitable data such as past OECD PISA items are confidential.
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