Papers with Europarl corpus
Tools for The Production of Analogical Grids and a Resource of N-gram Analogical Grids in 11 Languages (L18-1)
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| Challenge: | a Python module implements several previously presented algorithms to build analogical grids from words contained in a corpus. |
| Approach: | They propose to release a Python module which implements several previously presented algorithms to build analogical grids from words contained in a corpus. |
| Outcome: | The tools were built on vocabularies contained in 1,000 lines of the 11 different language versions of the Europarl corpus v.3 and are language-independent, allowing their use with any language and any writing system. |
Multilingual Neural Machine Translation with Task-Specific Attention (C18-1)
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| Challenge: | Multilingual machine translation is a task of building a system capable of translating between multiple source and target languages. |
| Approach: | They propose task-specific attention models to retain parameter sharing generalization . they observe improved translation quality even in low-resource zero-shot directions . |
| Outcome: | The proposed model retains parameter sharing generalization while allowing language-specific specialization . it improves translation quality even in low-resource zero-shot translation directions . |
What Kind of Language Is Hard to Language-Model? (P19-1)
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| Challenge: | a recent study suggests that language models perform poorly across languages. |
| Approach: | They propose a model that fits a paired-sample multiplicative mixed-effects model to obtain language difficulty coefficients from at least-pairwise parallel corpora. |
| Outcome: | The proposed model is able to handle missing data and is aware of inter-sentence variation. |