Papers with development and testing

2 papers
A Parallel Corpus of Arabic-Japanese News Articles (L18-1)

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Challenge: a large-scale parallel corpora with manually verified subsets of sentences has been used for machine translation between major language pairs.
Approach: They describe the creation process and statistics of the Arabic-Japanese portion of the TUFS Media Corpus . they also report the first results of Arabic-japanese phrase-based machine translation trained on the corpus based on the Arabic corpus.
Outcome: The proposed corpus is a document-level parallel corpus and sentence-level parser corpus . it is the first time that Arabic-Japanese translations have been trained on it .
KazQAD: Kazakh Open-Domain Question Answering Dataset (2024.lrec-main)

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Challenge: KazQAD contains just under 6,000 unique questions with extracted short answers and nearly 12,000 passage-level relevance judgements.
Approach: They introduce a Kazakh open-domain question answering dataset that can be used in reading comprehension and full ODQA settings.
Outcome: The proposed dataset can be used in reading comprehension and full ODQA settings, as well as for information retrieval experiments.

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