26 citations · 68 across the 13 of their papers we have counts for
13 papers
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
Logan Born, M. Willis Monroe, Kathryn Kelley +1
A numeration system encodes abstract numeric quantities as concrete strings of written characters. The numeration systems used by modern scripts tend to be precise and unambiguous,…
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation
Nishant Kambhatla, Logan Born, Anoop Sarkar
We propose a novel data-augmentation technique for neural machine translation based on ROT- ciphertexts. ROT- is a simple letter substitution cipher that replaces a letter in…
Better Neural Machine Translation by Extracting Linguistic Information from BERT
Hassan S. Shavarani, Anoop Sarkar
Adding linguistic information (syntax or semantics) to neural machine translation (NMT) has mostly focused on using point estimates from pre-trained models. Directly using the capa…
Interrogating the Explanatory Power of Attention in Neural Machine Translation
Pooya Moradi, Nishant Kambhatla, Anoop Sarkar
Attention models have become a crucial component in neural machine translation (NMT). They are often implicitly or explicitly used to justify the model's decision in generating a s…
Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
Neural machine translation (NMT) systems require large amounts of high quality in-domain parallel corpora for training. State-of-the-art NMT systems still face challenges related t…
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
The addition of syntax-aware decoding in Neural Machine Translation (NMT) systems requires an effective tree-structured neural network, a syntax-aware attention model and a languag…