Matt Post

Matt Post

Johns Hopkins University

H-index: 34

North America-United States

About Matt Post

Matt Post, With an exceptional h-index of 34 and a recent h-index of 29 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of machine translation, language modeling, parsing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies

Pixel representations for multilingual translation and data-efficient cross-lingual transfer

Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context

Escaping the sentence-level paradigm in machine translation

Identifying Context-Dependent Translations for Evaluation Set Production

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window

Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer

Sotastream: A streaming approach to machine translation training

Matt Post Information

University

Position

___

Citations(all)

9632

Citations(since 2020)

6942

Cited By

5132

hIndex(all)

34

hIndex(since 2020)

29

i10Index(all)

61

i10Index(since 2020)

47

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Matt Post Skills & Research Interests

machine translation

language modeling

parsing

Top articles of Matt Post

Title

Journal

Author(s)

Publication Date

Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies

arXiv preprint arXiv:2401.06760

Tom Kocmi

Vilém Zouhar

Christian Federmann

Matt Post

2024/1/12

Pixel representations for multilingual translation and data-efficient cross-lingual transfer

arXiv preprint arXiv:2305.14280

Elizabeth Salesky

Neha Verma

Philipp Koehn

Matt Post

2023/5/23

Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context

arXiv preprint arXiv:2311.15507

Elijah Rippeth

Marine Carpuat

Kevin Duh

Matt Post

2023/11/27

Escaping the sentence-level paradigm in machine translation

arXiv preprint arXiv:2304.12959

Matt Post

Marcin Junczys-Dowmunt

2023/4/25

Identifying Context-Dependent Translations for Evaluation Set Production

arXiv preprint arXiv:2311.02321

Rachel Wicks

Matt Post

2023/11/4

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window

arXiv preprint arXiv:2309.08832

Vikas Raunak

Tom Kocmi

Matt Post

2023/9/16

Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer

Elizabeth Salesky

Neha Verma

Philipp Koehn

Matt Post

2023/12

Sotastream: A streaming approach to machine translation training

arXiv preprint arXiv:2308.07489

Matt Post

Thamme Gowda

Roman Grundkiewicz

Huda Khayrallah

Rohit Jain

...

2023/8/14

Evaluating Metrics for Document-context Evaluation in Machine Translation

Vikas Raunak

Tom Kocmi

Matt Post

2023/12

Do gpts produce less literal translations?

arXiv preprint arXiv:2305.16806

Vikas Raunak

Arul Menezes

Matt Post

Hany Hassan Awadallah

2023/5/26

Two Decades of the ACL Anthology: Development, Impact, and Open Challenges

Marcel Bollmann

Nathan Schneider

Arne Köhn

Matt Post

2023/12

Large-scale streaming end-to-end speech translation with neural transducers

arXiv preprint arXiv:2204.05352

Jian Xue

Peidong Wang

Jinyu Li

Matt Post

Yashesh Gaur

2022/4/11

Does Sentence Segmentation Matter for Machine Translation?

Rachel Wicks

Matt Post

2022/12

Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models

arXiv preprint arXiv:2212.00006

Vikas Raunak

Matt Post

Arul Menezes

2022/11/19

Additive interventions yield robust multi-domain machine translation models

arXiv preprint arXiv:2210.12727

Elijah Rippeth

Matt Post

2022/10/23

SALTED: A framework for SAlient long-tail translation error detection

arXiv preprint arXiv:2205.09988

Vikas Raunak

Matt Post

Arul Menezes

2022/5/20

Scientific dissemination via comic strip: A case study with SacreBLEU

Matt Post

2021/4/14

The multilingual tedx corpus for speech recognition and translation

arXiv preprint arXiv:2102.01757

Elizabeth Salesky

Matthew Wiesner

Jacob Bremerman

Roldano Cattoni

Matteo Negri

...

2021/2/2

The jhu-microsoft submission for wmt21 quality estimation shared task

arXiv preprint arXiv:2109.08724

Shuoyang Ding

Marcin Junczys-Dowmunt

Matt Post

Christian Federmann

Philipp Koehn

2021/9/17

Levenshtein training for word-level quality estimation

arXiv preprint arXiv:2109.05611

Shuoyang Ding

Marcin Junczys-Dowmunt

Matt Post

Philipp Koehn

2021/9/12

See List of Professors in Matt Post University(Johns Hopkins University)

Co-Authors

H-index: 73
Philipp Koehn

Philipp Koehn

Johns Hopkins University

H-index: 64
Sanjeev Khudanpur

Sanjeev Khudanpur

Johns Hopkins University

H-index: 62
Chris Callison-Burch

Chris Callison-Burch

University of Pennsylvania

H-index: 57
Benjamin Van Durme

Benjamin Van Durme

Johns Hopkins University

H-index: 45
Daniel Gildea

Daniel Gildea

University of Rochester

H-index: 42
Ondřej Bojar

Ondřej Bojar

Univerzita Karlova

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