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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

4

보존된 평가 기록

5

코드

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

https://github.com/exploration-lab/isltranslate

공식 코드

ISLTranslate: Dataset for Translating Indian Sign Language

https://github.com/exponentiai/haifit

공식 코드

HAIFIT: Human-to-AI Fashion Image Translation

https://github.com/exqrch/indonesiannmt

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Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia

https://github.com/facebookresearch/CodeGen

공식 코드

Unsupervised Translation of Programming Languages

https://github.com/facebookresearch/CodeGen/blob/main/docs/dobf.md

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DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

https://github.com/facebookresearch/DisCo

공식 코드

Non-Autoregressive Machine Translation with Disentangled Context Transformer

https://github.com/facebookresearch/LASER

공식 코드

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

https://github.com/facebookresearch/MUSE

공식 코드

Word Translation Without Parallel Data

https://github.com/facebookresearch/Mask-Predict

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Mask-Predict: Parallel Decoding of Conditional Masked Language Models

https://github.com/facebookresearch/UnsupervisedMT

공식 코드

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/facebookresearch/UnsupervisedQA

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Unsupervised Question Answering by Cloze Translation

https://github.com/facebookresearch/analyzing-uncertainty-nmt

공식 코드

Analyzing Uncertainty in Neural Machine Translation

https://github.com/facebookresearch/covost

공식 코드

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

https://github.com/facebookresearch/deit

공식 코드

ResMLP: Feedforward networks for image classification with data-efficient training

https://github.com/facebookresearch/emphassess

공식 코드

EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models

https://github.com/facebookresearch/evaluation-of-nmt-bt

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On The Evaluation of Machine Translation Systems Trained With Back-Translation

https://github.com/facebookresearch/fairscale/blob/main/fairscale/experimental/nn/data_parallel/gossip/distributed.py

공식 코드

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

https://github.com/facebookresearch/fairseq

공식 코드

Convolutional Sequence to Sequence Learning

https://github.com/facebookresearch/flores

공식 코드

The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

https://github.com/facebookresearch/grounding-inductive-biases

공식 코드

Grounding inductive biases in natural images:invariance stems from variations in data

https://github.com/facebookresearch/mbr-exec

공식 코드

Natural Language to Code Translation with Execution

https://github.com/facebookresearch/mlqe

공식 코드

Unsupervised Quality Estimation for Neural Machine Translation

https://github.com/facebookresearch/muavic

공식 코드

MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation

https://github.com/facebookresearch/music-translation

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A Universal Music Translation Network

https://github.com/facebookresearch/relative_pose_dataset

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Instant Visual Odometry Initialization for Mobile AR

https://github.com/facebookresearch/seamless_communication

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SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

https://github.com/facebookresearch/sonar

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SONAR: Sentence-Level Multimodal and Language-Agnostic Representations

https://github.com/facebookresearch/ssvp_slt

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Towards Privacy-Aware Sign Language Translation at Scale

https://github.com/facebookresearch/stopes

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No Language Left Behind: Scaling Human-Centered Machine Translation

https://github.com/facebookresearch/ternary_binary_transformer

공식 코드

Binary and Ternary Natural Language Generation

https://github.com/facebookresearch/text-simplification-evaluation

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Reference-less Quality Estimation of Text Simplification Systems

https://github.com/facebookresearch/transformer-sequential

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Addressing Some Limitations of Transformers with Feedback Memory

https://github.com/facebookresearch/vizseq

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VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

https://github.com/facebookresearch/vsait

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Unpaired Image Translation via Vector Symbolic Architectures

https://github.com/fadedcosine/knn-kd

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Nearest Neighbor Knowledge Distillation for Neural Machine Translation

https://github.com/fajri91/minangNLP

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Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation

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