MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines (2025.acl-long)
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| Challenge: | Existing parallel corpora of translated texts fail to model long-range interactions between speech segments or specific types of divergences. |
| Approach: | They propose to use MockConf to analyze simultaneous interpreting and to develop a student interpretation dataset that was collected from Mock Conferences. |
| Outcome: | The proposed dataset contains 7 hours of recordings in 5 European languages, transcribed and aligned at the level of spans and words. |
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
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| Challenge: | EPIC UdS is a multilingual corpus of simultaneous interpreting for English, German and Spanish. |
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SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP (2020.coling-main)
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| Challenge: | Existing methods for automatic sentence alignment assume monotonic alignments, but they can handle non-monotonic alignments. |
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