activity
20152018
most citedBuilding Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs

43 citations · 192 across the 18 of their papers we have counts for

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Showing 2015Show all

15 papers · 1 filter

cs.CL2015★ 2 cited

Unsupervised comparable corpora preparation and exploration for bi-lingual translation equivalents

Krzysztof Wołk, Krzysztof Marasek

The multilingual nature of the world makes translation a crucial requirement today. Parallel dictionaries constructed by humans are a widely-available resource, but they are limite…

cs.CL2015★ 5 cited

PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora

Krzysztof Wołk, Krzysztof Marasek

In this paper, we attempt to improve Statistical Machine Translation (SMT) systems on a very diverse set of language pairs (in both directions): Czech - English, Vietnamese - Engli…

cs.CL2015★ 1 cited

Spoken Language Translation for Polish

Krzysztof Marasek, Łukasz Brocki, Danijel Korzinek +2

Spoken language translation (SLT) is becoming more important in the increasingly globalized world, both from a social and economic point of view. It is one of the major challenges…

cs.CL2015

Enhancements in statistical spoken language translation by de-normalization of ASR results

Agnieszka Wołk, Krzysztof Wołk, Krzysztof Marasek

Spoken language translation (SLT) has become very important in an increasingly globalized world. Machine translation (MT) for automatic speech recognition (ASR) systems is a major…

cs.CL2015★ 3 cited

Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics

Krzysztof Wołk, Emilia Rejmund, Krzysztof Marasek

Parallel sentences are a relatively scarce but extremely useful resource for many applications including cross-lingual retrieval and statistical machine translation. This research…

cs.CL2015★ 13 cited

Telemedicine as a special case of Machine Translation

Krzysztof Wołk, Krzysztof Marasek, Wojciech Glinkowski

Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which provide reasonable translations…

cs.CL2015★ 5 cited

Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2013

Krzysztof Wołk, Krzysztof Marasek

This research explores the effects of various training settings from Polish to English Statistical Machine Translation system for spoken language. Various elements of the TED paral…

cs.CL2015

A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation

Krzysztof Wołk, Krzysztof Marasek

Text alignment is crucial to the accuracy of Machine Translation (MT) systems, some NLP tools or any other text processing tasks requiring bilingual data. This research proposes a…

cs.CL2015

Real-Time Statistical Speech Translation

Krzysztof Wołk, Krzysztof Marasek

This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recogni…

cs.CL2015★ 2 cited

Enhanced Bilingual Evaluation Understudy

Krzysztof Wołk, Krzysztof Marasek

Our research extends the Bilingual Evaluation Understudy (BLEU) evaluation technique for statistical machine translation to make it more adjustable and robust. We intend to adapt i…

cs.CL2015

Polish -English Statistical Machine Translation of Medical Texts

Krzysztof Wołk, Krzysztof Marasek

This new research explores the effects of various training methods on a Polish to English Statistical Machine Translation system for medical texts. Various elements of the EMEA par…

cs.CL2015★ 43 cited

Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs

Krzysztof Wołk, Krzysztof Marasek

Parallel sentences are a relatively scarce but extremely useful resource for many applications including cross-lingual retrieval and statistical machine translation. This research…

cs.CL2015★ 6 cited

Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2014

Krzysztof Wołk, Krzysztof Marasek

This research explores effects of various training settings between Polish and English Statistical Machine Translation systems for spoken language. Various elements of the TED para…

cs.CL2015★ 38 cited

Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts

Krzysztof Wołk, Krzysztof Marasek

The quality of machine translation is rapidly evolving. Today one can find several machine translation systems on the web that provide reasonable translations, although the systems…

cs.CL2015★ 1 cited

Tuned and GPU-accelerated parallel data mining from comparable corpora

Krzysztof Wołk, Krzysztof Marasek

The multilingual nature of the world makes translation a crucial requirement today. Parallel dictionaries constructed by humans are a widely-available resource, but they are limite…