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20182021
most citedA Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation

31 citations · 46 across the 4 of their papers we have counts for

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cs.CL202112 cited

Investigating Failures of Automatic Translation in the Case of Unambiguous Gender

Adithya Renduchintala, Adina Williams

Transformer based models are the modern work horses for neural machine translation (NMT), reaching state of the art across several benchmarks. Despite their impressive accuracy, we…

cs.CL2021

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment

Ahmed El-Kishky, Adithya Renduchintala, James Cross +2

Cross-lingual named-entity lexica are an important resource to multilingual NLP tasks such as machine translation and cross-lingual wikification. While knowledge bases contain a la…

cs.CL20212 cited

Quality Estimation without Human-labeled Data

Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala +3

Quality estimation aims to measure the quality of translated content without access to a reference translation. This is crucial for machine translation systems in real-world scenar…

cs.CL201931 cited

A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation

Shuoyang Ding, Adithya Renduchintala, Kevin Duh

Most neural machine translation systems are built upon subword units extracted by methods such as Byte-Pair Encoding (BPE) or wordpiece. However, the choice of number of merge oper…

cs.CL2018

Character-Aware Decoder for Translation into Morphologically Rich Languages

Adithya Renduchintala, Pamela Shapiro, Kevin Duh +1

Neural machine translation (NMT) systems operate primarily on words (or sub-words), ignoring lower-level patterns of morphology. We present a character-aware decoder designed to ca…

cs.CL2018

ESPnet: End-to-End Speech Processing Toolkit

Shinji Watanabe, Takaaki Hori, Shigeki Karita +9

This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts w…