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코드

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

https://github.com/thunlp-mt/ckd

공식 코드

Continual Knowledge Distillation for Neural Machine Translation

https://github.com/thunlp-mt/mean

공식 코드

Conditional Antibody Design as 3D Equivariant Graph Translation

https://github.com/thunlp-mt/plm4mt

공식 코드

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators

https://github.com/thunlp-mt/promptgating4mctg

공식 코드

An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation

https://github.com/thunlp-mt/template-nmt

공식 코드

A Template-based Method for Constrained Neural Machine Translation

https://github.com/thunlp-mt/transformer-dmb

공식 코드

Dynamic Multi-Branch Layers for On-Device Neural Machine Translation

https://github.com/tianduowang/speech-bt

공식 코드

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition

https://github.com/tienthanhdhcn/VnAPE

공식 코드

Automatic Post-Editing for Vietnamese

https://github.com/tilde-nlp/terminology_translation

공식 코드

Facilitating Terminology Translation with Target Lemma Annotations

https://github.com/timericschwabe/q-nl-verifier

공식 코드

Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering

https://github.com/timpal0l/ScandiSent

공식 코드

Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?

https://github.com/timpal0l/sts-benchmark-swedish

공식 코드

Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity

https://github.com/tjunlp-lab/Shallow-Discourse-Annotation-for-Chinese-TED-Talks

공식 코드

Shallow Discourse Annotation for Chinese TED Talks

https://github.com/tjunlp-lab/commonmt

공식 코드

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation

https://github.com/tjunlp-lab/id-zh-mtrobusteval

공식 코드

An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation

https://github.com/tjunlp-lab/pckmt

공식 코드

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

https://github.com/tnq177/improving_lexical_choice_in_nmt

공식 코드

Improving Lexical Choice in Neural Machine Translation

https://github.com/tnq177/transformers_without_tears

공식 코드

Transformers without Tears: Improving the Normalization of Self-Attention

https://github.com/tomato1mule/diffusion_edf

공식 코드

Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation

https://github.com/tomlimi/MT-Tokenizer-Bias

공식 코드

Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation

https://github.com/tomsherborne/bootstrap

공식 코드

Bootstrapping a Crosslingual Semantic Parser

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

공식 코드

Zero-Shot Cross-lingual Semantic Parsing

https://github.com/topgunbai683/translation-nc-ratio

공식 코드

Stochastic Gene Expression Model of Nuclear-to-Cell Ratio Homeostasis

https://github.com/toshohirasawa/mst

공식 코드

Towards Multimodal Simultaneous Neural Machine Translation

https://github.com/toshohirasawa/nmtpytorch-emb-pred

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Multimodal Machine Translation with Embedding Prediction

https://github.com/tptpworld/nonclassicallogic

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Solving Quantified Modal Logic Problems by Translation to Classical Logics

https://github.com/tran-khoa/joint-training-cascaded-st

공식 코드

Does Joint Training Really Help Cascaded Speech Translation?

https://github.com/trangvu/guda

공식 코드

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection

https://github.com/tranleanh/rsvt

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Haze Removal via Regional Saturation-Value Translation and Soft Segmentation

https://github.com/transducens/crosslingualneuralfms

공식 코드

Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation

https://github.com/transducens/matilda

공식 코드

Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

https://github.com/transducens/mayanv

공식 코드

Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars

https://github.com/transducens/mtl-da-emnlp

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Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach

https://github.com/translatorswb/TWB-MT

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Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response

https://github.com/trusthlt/dp-nmt

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DP-NMT: Scalable Differentially-Private Machine Translation

https://github.com/tsuruoka-lab/AMI-Meeting-Parallel-Corpus

공식 코드

Document-aligned Japanese-English Conversation Parallel Corpus

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