I am an Applied Research Scientist in the NeMo team at NVIDIA, working on problems in Natural Language Processing. Prior to this, I was a Research Scientist at Facebook AI Research Accel (FAIR Accel). I worked on gounding neural dialogue agents in complex domains (game playing) and also worked on improving Machine Translation of named enitties.
Before that, I was a PhD student in the Center for Language and Speech Processing (CLSP) at Johns Hopkins University. I was advised by Philipp Koehn and Jason Eisner. My primary research is in building computational models for user modeling, specifically in language learning. I apply techniques from Natural Language Processing (NLP), Machine Translation (MT), and Machine Learning (ML) towards this problem. Check out these early prototypes, here and here, to get a sense of the project.
I also have worked with Adam Lopez on finite automata based systems for machine translation and translation using Abstract Meaning Representations (AMR). I’ve also worked with Kevin duh on character-aware NMT modeling as well as an analysis on the effect of Byte-pair encoding on NMT performance. Recently, I’ve worked on a few projects in End-to-End speech recognition with Shinji Watanabe. During my PhD I Interned at Duolingo under the guidance of Burr Settles working on robust word-embedding models and chatbots for language learners.
Before joining CLSP, I worked on designing new modalities of user interaction at the Arts Media & Engineering program. I also worked at Rosetta Stone as a software developer and did a brief stint as an NLP engineer at MModal. See my CV for more details.
Gender Bias Amplification During Speed-Quality Optimizationin Neural Machine Translation
Adithya Renduchintala, Denise Diaz, Kenneth Heafield, Xian Li and Mona Diab, (To appear at) Association for Computational Linguistics (ACL), 2021
Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders
Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu and Xian Li, European Chapter of the Association for Computational Linguistics (EACL), 2021
Quality Estimation without Human-labeled Data
Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzman, Lucia Specia. European Chapter of the Association for Computational Linguistics (EACL), 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Machine Translation quality across demographic dialectal variation in Social Media
Adithya Renduchintala and Dmitriy Genzel, Association for Machine Translation in the Americas (AMTA), MT User Track, 2020.
An Exploratory Study on Multilingual Quality Estimation
Shuo Sun, Marina Fomicheva, Frederic Blain, Vishrav Chaudhary, Ahmed El-Kishky, Adithya Renduchintala , Francisco Guzman and Lucia Specia. Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP) 2020
A Language Learning Framework based on Macaronic Texts
Adithya Renduchintala 2020
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary
Adithya Renduchintala, Philipp Koehn and Jason Eisner. Empirical Methods in Natural Language Processing (EMNLP), 2019
Simple Construction of Mixed-Language Texts for Vocabulary Learning
Adithya Renduchintala, Philipp Koehn and Jason Eisner. Annual Meeting of the Association for Computational Linguistics (ACL) Workshop on Innovative Use of NLP for Building Educational Applications, 2019
Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings
Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Li, Najim Dehak and Sanjeev Khudanpur, INTERSPEECH 2019
A Call for prudent choice of Subword Merge Operations
Shuyang Ding, Adithya Renduchintala and Kevin Duh, Machine Translation Summit 2019
Character-Aware Decoder for Translation into Morphologically Rich Languages
Adithya Renduchintala Pamela Shapiro, Kevin Duh and Philipp Koehn. Machine Translation Summit 2019
ESPnet: End-to-End Speech Processing Toolkit
Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai, INTERSPEECH 2018.
Knowledge Tracing in Sequential Learning of Inflected Vocabulary
Adithya Renduchintala, Philipp Koehn and Jason Eisner, Conference on Computational Natural Language Learning (CoNLL), 2017.
User Modeling in Language Learning with Macaronic Texts.
Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
Creating Interactive Macaronic Interfaces for Language Learning.
Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, System Description, Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
Analyzing Learner Understanding of Novel L2 Vocabulary
Rebecca Knowles, Adithya Renduchintala, Philipp Koehn and Jason Eisner, Conference on Computational Natural Language Learning (CoNLL), 2016.
An Algerian Arabic-French Code-Switched Corpus.
Ryan Cotterell, Adithya Renduchintala, Naomi P. Saphra and Chris Callison-Burch. LREC Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools. 2014.
Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents.
Adithya Renduchintala, Amy Zhang, Thomas Polzin, Gilan Saadawi.AMIA, 2013.
Designing for persistent Audio Conversations in the Enterprise.
Adithya Renduchintala, Ajita John, Shreeharsh Kelkar, and Doree Duncan-Seligmann. Design for User Experience. 2007.
Creating serendipitous encounters in a geographically distributed community
Adithya Renduchintala, Aisling Kelliher, Hari Sundaram, ACM international workshop on Human-centered multimedia. 2006
Machine Translation quality across demographic dialectal variation in Social Media. Adithya Renduchintala and Dmitriy Genzel. Conference of the Association for Machine Translation in the Americas (AMTA) User Track 2020
Controllable Macaronic Language Generationfor Language Learning [bib]
Adithya Renduchintala, Philipp Koehn, Jason Eisner 2019
Johns Hopkins University,
Center for Language & Speech Processing,
Hackerman Hall 226
3400 N Charles Street
Baltimore, MD 21218