SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–750 of 782 papers

TitleStatusHype
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing—0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP—0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian ResourceCode0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-ZyrianCode0
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project—0
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
A Survey Of Cross-lingual Word Embedding Models—0
Cross-Lingual Parser Selection for Low-Resource Languages—0
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing—0
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion—0
Tagging Ingush - Language Technology For Low-Resource Languages Using Resources From Linguistic Field Work—0
Development of a Bengali parser by cross-lingual transfer from Hindi—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified