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Found 8 papers, 2 papers with code
WikiSplit++: Easy Data Refinement for Split and Rephrase
The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstream tasks in natural language processing (NLP).
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus
Most current machine translation models are mainly trained with parallel corpora, and their translation accuracy largely depends on the quality and quantity of the corpora.
Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021
This paper describes our systems that were submitted to the restricted translation task at WAT 2021.
Incorporating Noisy Length Constraints into Transformer with Length-aware Positional Encodings
Since length constraints with exact target sentence lengths degrade translation performance, we add random noise within a certain window size to the length constraints in the PE during the training.
SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP
In particular, our method improved by +53. 9 F1 scores for extracting non-parallel sentences.
Bilingual Text Extraction as Reading Comprehension
We also conduct a sentence alignment experiment using En-Ja newspaper articles and find that the proposed method using multilingual BERT achieves significantly better accuracy than a baseline method using a bilingual dictionary and dynamic programming.
Simultaneous Neural Machine Translation using Connectionist Temporal Classification
Simultaneous machine translation is a variant of machine translation that starts the translation process before the end of an input.
Training Neural Machine Translation using Word Embedding-based Loss
The proposed loss function encourages an NMT decoder to generate words close to their references in the embedding space; this helps the decoder to choose similar acceptable words when the actual best candidates are not included in the vocabulary due to its size limitation.
