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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Showing 501525 of 1773 papers

TitleStatusHype
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair0
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages0
Causal Transformers: Improving the Robustness on Spurious Correlations0
Encoding Gated Translation Memory into Neural Machine Translation0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation0
Categorizing Semantic Representations for Neural Machine Translation0
Are BLEU and Meaning Representation in Opposition?0
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages0
Empirical Evaluation of Active Learning Techniques for Neural MT0
Capturing document context inside sentence-level neural machine translation models with self-training0
Are BLEU and Meaning Representation in Opposition?0
Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC0
EMMeTT: Efficient Multimodal Machine Translation Training0
Efforts Towards Developing a Tamang Nepali Machine Translation System0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation0
Effort-Aware Neural Automatic Post-Editing0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives0
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