Papers with Code 아카이브

Cross-Lingual Transfer

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 2
평가표: 1
보존된 평가 기록: 6

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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/rasoolims/ImageTranslate

공식 코드

"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks

https://github.com/rbawden/mt-bigscience

공식 코드

Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM

https://github.com/rlitschk/EncoderCLIR

공식 코드

On Cross-Lingual Retrieval with Multilingual Text Encoders

https://github.com/rlitschk/modularclir

공식 코드

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval

https://github.com/roy54x/Lexical_semantics_in_cross-lingual_transfer

공식 코드

Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations

https://github.com/rulezcasa/Cross-lingual-Kinyarwanda_Kirundi

공식 코드

Cross-lingual transfer of multilingual models on low resource African Languages

https://github.com/s1998/progressivetraincodeswitch

공식 코드

Progressive Sentiment Analysis for Code-Switched Text Data

https://github.com/saattrupdan/scandeval

공식 코드

ScandEval: A Benchmark for Scandinavian Natural Language Processing

https://github.com/salesforce/adversarial-polyglots

공식 코드

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

https://github.com/salesforce/fewxc

공식 코드

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

https://github.com/salesforce/mpt

공식 코드

Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models

https://github.com/saltychtao/prealign

공식 코드

PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment

https://github.com/seyoungsong/classical-chinese-transfer

공식 코드

When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun

https://github.com/shaoyangxu/Multilingual-Human-Value-Concepts

공식 코드

Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?

https://github.com/shijie-wu/crosslingual-nlp

공식 코드

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

https://github.com/shin285/KOMORAN

공식 코드

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

https://github.com/sjtu-compling/mela

공식 코드

MELA: Multilingual Evaluation of Linguistic Acceptability

https://github.com/slab-nlp/linguistic-blood-bank

공식 코드

A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank

https://github.com/studio-ousia/luke

공식 코드

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models

https://github.com/suamin/t2ner

공식 코드

Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts

https://github.com/taichengguo/few-shot-newsrec

공식 코드

Few-shot News Recommendation via Cross-lingual Transfer

https://github.com/tareknaous/readme

공식 코드

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment

https://github.com/teffland/expected-statistic-regularization

공식 코드

Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization

https://github.com/thespectrewithin/joint-align

공식 코드

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework

https://github.com/thu-bpm/softmv

공식 코드

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer

https://github.com/tian14267/ls_mbert

공식 코드

Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer

https://github.com/tjunlp-lab/awesome-multilingual-llms-papers

공식 코드

Multilingual Large Language Models: A Systematic Survey

https://github.com/tomsherborne/tram_optimizer

공식 코드

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

https://github.com/tomsherborne/xgr

공식 코드

Meta-Learning a Cross-lingual Manifold for Semantic Parsing

https://github.com/tomsherborne/zx-parse

공식 코드

Zero-Shot Cross-lingual Semantic Parsing

https://github.com/tylerachang/multilingual-geometry

공식 코드

The Geometry of Multilingual Language Model Representations

https://github.com/uclanlp/CrossLingualDepParser

공식 코드

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

https://github.com/uclanlp/robust-xlt

공식 코드

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training

https://github.com/uds-lsv/aadam

공식 코드

AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness

https://github.com/uds-lsv/afro-maft

공식 코드

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

https://github.com/ukplab/naacl2024-fun

공식 코드

FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.