I am a PhD student in the Center for Language and Speech Processing (CLSP) at Johns Hopkins University. 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.

I am advised by Philipp Koehn and Jason Eisner. 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.

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.

Publications

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 (To Appear)

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

Multi-Modal Data Augmentation for End-to-end ASR Best Student Paper!
Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner and Shinji Watanabe, INTERSPEECH 2018.

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

Contact

Johns Hopkins University,
Center for Language & Speech Processing,
Hackerman Hall 226
3400 N Charles Street
Baltimore, MD 21218
adi.r@jhu.edu

github
stackoverflow
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