https://github.com/kakaobrain/jejueo
공식 코드Jejueo Datasets for Machine Translation and Speech Synthesis
Papers with Code 아카이브
Machine Translation
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Machine translation is the task of translating a sentence in a source language to a different target language.
Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.
One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.
<span style="color:grey; opacity: 0.6">( Image credit: Google seq2seq )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kakaobrain/kortok
공식 코드An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks
https://github.com/kaleidophon/non-exchangeable-conformal-language-generation
공식 코드Non-Exchangeable Conformal Language Generation with Nearest Neighbors
https://github.com/kananmahammadli/sllmbo
공식 코드Sequential Large Language Model-Based Hyper-parameter Optimization
https://github.com/karthikpuranik11/fire2021
공식 코드https://github.com/karthikpuranik11/loresmt
공식 코드Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
https://github.com/kartik21/xlingalignment
공식 코드Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs
https://github.com/kartikeypant/text-simplification-qa-www2021
공식 코드Text Simplification for Comprehension-based Question-Answering
https://github.com/kasunw22/sinhala-para-dict
공식 코드https://github.com/kasunw22/sinhala-transliterator
공식 코드Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches
https://github.com/katherinethai/par3
공식 코드Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
https://github.com/kbatsuren/kindiv
공식 코드Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship
https://github.com/kcdichdangu/multilingualmt-uet-kc4.0
공식 코드https://github.com/kelaxon/ssr-zero
공식 코드SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
https://github.com/keleog/PidginUNMT
공식 코드PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English
https://github.com/kellymarchisio/ee-giza
공식 코드https://github.com/kellymarchisio/euc-v-graph-bli
공식 코드https://github.com/kellymarchisio/isovec
공식 코드IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces
https://github.com/kenji-imamura/sentpiece_mimic
공식 코드Extending the Subwording Model of Multilingual Pretrained Models for New Languages
https://github.com/kennethsible/confidence-estimation
공식 코드Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
https://github.com/kennethsible/dictionary-attention
공식 코드Improving Rare Word Translation With Dictionaries and Attention Masking
https://github.com/kenrickkung/cantonesetranslation
공식 코드https://github.com/kentaroy47/vision-transformers-cifar10
공식 코드Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization
https://github.com/kenza-ily/mt_hallucination_detection
공식 코드https://github.com/ketranm/fan_vs_rnn
공식 코드The Importance of Being Recurrent for Modeling Hierarchical Structure
https://github.com/keyonvafa/sequential-rationales
공식 코드https://github.com/khanhptnk/bandit-nmt
공식 코드Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
https://github.com/kinit-sk/gest
공식 코드https://github.com/kmccurdy/w2v-gender
공식 코드Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings
https://github.com/kocmitom/mt-thresholds
공식 코드Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies
https://github.com/koustavagoswami/weakly_supervised-cognate_detection
공식 코드https://github.com/kpkqwq/lspg
공식 코드Multilingual Lexical Simplification via Paraphrase Generation
https://github.com/krisaesoey/atomictranslation
공식 코드Rule Learning as Machine Translation using the Atomic Knowledge Bank
https://github.com/kritisingh24/active_learning_nmt
공식 코드https://github.com/krystalan/RAGtrans
공식 코드Retrieval-Augmented Machine Translation with Unstructured Knowledge
https://github.com/krystalan/drt
공식 코드ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.