Amittai Axelrod


2020

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FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN
Ebrahim Ansari | Amittai Axelrod | Nguyen Bach | Ondřej Bojar | Roldano Cattoni | Fahim Dalvi | Nadir Durrani | Marcello Federico | Christian Federmann | Jiatao Gu | Fei Huang | Kevin Knight | Xutai Ma | Ajay Nagesh | Matteo Negri | Jan Niehues | Juan Pino | Elizabeth Salesky | Xing Shi | Sebastian Stüker | Marco Turchi | Alexander Waibel | Changhan Wang
Proceedings of the 17th International Conference on Spoken Language Translation

The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2020) featured this year six challenge tracks: (i) Simultaneous speech translation, (ii) Video speech translation, (iii) Offline speech translation, (iv) Conversational speech translation, (v) Open domain translation, and (vi) Non-native speech translation. A total of teams participated in at least one of the tracks. This paper introduces each track’s goal, data and evaluation metrics, and reports the results of the received submissions.

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DiDi Labs’ End-to-end System for the IWSLT 2020 Offline Speech TranslationTask
Arkady Arkhangorodsky | Yiqi Huang | Amittai Axelrod
Proceedings of the 17th International Conference on Spoken Language Translation

This paper describes the system that was submitted by DiDi Labs to the offline speech translation task for IWSLT 2020. We trained an end-to-end system that translates audio from English TED talks to German text, without producing intermediate English text. We use the S-Transformer architecture and train using the MuSTC dataset. We also describe several additional experiments that were attempted, but did not yield improved results.

2019

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Proceedings of the 2019 Workshop on Widening NLP
Amittai Axelrod | Diyi Yang | Rossana Cunha | Samira Shaikh | Zeerak Waseem
Proceedings of the 2019 Workshop on Widening NLP

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Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data
Amittai Axelrod | Anish Kumar | Steve Sloto
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

We introduce a purely monolingual approach to filtering for parallel data from a noisy corpus in a low-resource scenario. Our work is inspired by Junczysdowmunt:2018, but we relax the requirements to allow for cases where no parallel data is available. Our primary contribution is a dual monolingual cross-entropy delta criterion modified from Cynical data selection Axelrod:2017, and is competitive (within 1.8 BLEU) with the best bilingual filtering method when used to train SMT systems. Our approach is featherweight, and runs end-to-end on a standard laptop in three hours.

2015

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Data Selection With Fewer Words
Amittai Axelrod | Philip Resnik | Xiaodong He | Mari Ostendorf
Proceedings of the Tenth Workshop on Statistical Machine Translation

2011

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Domain Adaptation via Pseudo In-Domain Data Selection
Amittai Axelrod | Xiaodong He | Jianfeng Gao
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2008

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The University of Washington Machine Translation System for ACL WMT 2008
Amittai Axelrod | Mei Yang | Kevin Duh | Katrin Kirchhoff
Proceedings of the Third Workshop on Statistical Machine Translation

2003

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On building a high performance gazetteer database
Amittai Axelrod
Proceedings of the HLT-NAACL 2003 Workshop on Analysis of Geographic References