activity
20162022
most citedAn Exploration of Word Embedding Initialization in Deep-Learning Tasks

21 citations · 100 across the 28 of their papers we have counts for

collaborators

51 papers

cs.CL20221 cited

CUNI Submission in WMT22 General Task

Josef Jon, Martin Popel, Ondřej Bojar

We present the CUNI-Bergamot submission for the WMT22 General translation task. We compete in EnglishCzech direction. Our submission further explores block backtransla…

cs.CL20222 cited

Simultaneous Translation for Unsegmented Input: A Sliding Window Approach

Sukanta Sen, Ondřej Bojar, Barry Haddow

In the cascaded approach to spoken language translation (SLT), the ASR output is typically punctuated and segmented into sentences before being passed to MT, since the latter is ty…

cs.CL2022

Sentence Ambiguity, Grammaticality and Complexity Probes

Sunit Bhattacharya, Vilém Zouhar, Ondřej Bojar

It is unclear whether, how and where large pre-trained language models capture subtle linguistic traits like ambiguity, grammaticality and sentence complexity. We present results o…

cs.CL2022

ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation

Peter Polák, Muskaan Singh, Anna Nedoluzhko +1

Summarization is a challenging problem, and even more challenging is to manually create, correct, and evaluate the summaries. The severity of the problem grows when the inputs are…

cs.CL2022

CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022

Peter Polák, Ngoc-Quan Ngoc, Tuan-Nam Nguyen +5

In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without…

cs.CL2022

Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation

Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud +7

Multi-modal Machine Translation (MMT) enables the use of visual information to enhance the quality of translations. The visual information can serve as a valuable piece of context…