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Titlebook: Cross-Lingual Word Embeddings; Anders S?gaard,Ivan Vuli?,Manaal Faruqui Book 2019 Springer Nature Switzerland AG 2019

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21#
發(fā)表于 2025-3-25 05:54:24 | 只看該作者
T. C. K. Brown,A. E. E. Meursingy providing more and more directly usable code in readily accessible online repositories. In what follows, we provide a (non-exhaustive) list of links to online material that can provide hands-on support to NLP practitioners entering this vibrant field.
22#
發(fā)表于 2025-3-25 11:05:59 | 只看該作者
23#
發(fā)表于 2025-3-25 12:03:36 | 只看該作者
24#
發(fā)表于 2025-3-25 15:48:52 | 只看該作者
Synthesis Lectures on Human Language Technologieshttp://image.papertrans.cn/d/image/240354.jpg
25#
發(fā)表于 2025-3-25 21:02:59 | 只看該作者
Some facts about Charlier polynomials,The majority of cross-lingual embedding models take inspiration from and extend monolingual word embedding models to bilingual settings, or explicitly leverage monolingually trained models. As an important preliminary, we thus briefly review monolingual embedding models that have been used in the cross-lingual embeddings literature.
26#
發(fā)表于 2025-3-26 03:38:32 | 只看該作者
WFSA - Development Between 1955 and 1972,In the following, we will now discuss different types of the current generation of cross-lingual word embedding models, starting with models based on word-level alignment. Among these, as already mentioned, models based on parallel data are more common.
27#
發(fā)表于 2025-3-26 06:44:23 | 只看該作者
28#
發(fā)表于 2025-3-26 11:11:17 | 只看該作者
Monolingual Word Embedding Models,The majority of cross-lingual embedding models take inspiration from and extend monolingual word embedding models to bilingual settings, or explicitly leverage monolingually trained models. As an important preliminary, we thus briefly review monolingual embedding models that have been used in the cross-lingual embeddings literature.
29#
發(fā)表于 2025-3-26 12:46:48 | 只看該作者
Word-Level Alignment Models,In the following, we will now discuss different types of the current generation of cross-lingual word embedding models, starting with models based on word-level alignment. Among these, as already mentioned, models based on parallel data are more common.
30#
發(fā)表于 2025-3-26 19:03:31 | 只看該作者
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