43 citations · 192 across the 18 of their papers we have counts for
21 papers
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra, Tomasz Sznajder, Danijel Korzinek +4
Deep learning algorithms, especially convolutional neural networks, have become a methodology of choice in medical image analysis. However, recent studies in computer vision show t…
DeepStyle: Multimodal Search Engine for Fashion and Interior Design
Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa +2
In this paper, we propose a multimodal search engine that combines visual and textual cues to retrieve items from a multimedia database aesthetically similar to the query. The goal…
Shallow reading with Deep Learning: Predicting popularity of online content using only its title
Wociech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk +2
With the ever decreasing attention span of contemporary Internet users, the title of online content (such as a news article or video) can be a major factor in determining its popul…
What Looks Good with my Sofa: Multimodal Search Engine for Interior Design
Ivona Tautkute, Aleksandra Możejko, Wojciech Stokowiec +3
In this paper, we propose a multi-modal search engine for interior design that combines visual and textual queries. The goal of our engine is to retrieve interior objects, e.g. fur…
Polish Read Speech Corpus for Speech Tools and Services
Danijel Koržinek, Krzysztof Marasek, Łukasz Brocki +1
This paper describes the speech processing activities conducted at the Polish consortium of the CLARIN project. The purpose of this segment of the project was to develop specific t…
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora
Krzysztof Wołk, Emilia Rejmund, Krzysztof Marasek
Parallel texts are a relatively rare language resource, however, they constitute a very useful research material with a wide range of applications. This study presents and analyses…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…