73 citations · 253 across the 20 of their papers we have counts for
24 papers
Automated speech-based screening of depression using deep convolutional neural networks
Karol Chlasta, Krzysztof Wołk, Izabela Krejtz
Early detection and treatment of depression is essential in promoting remission, preventing relapse, and reducing the emotional burden of the disease. Current diagnoses are primari…
Deep learning and sub-word-unit approach in written art generation
Krzysztof Wołk, Emilia Zawadzka-Gosk, Wojciech Czarnowski
Automatic poetry generation is novel and interesting application of natural language processing research. It became more popular during the last few years due to the rapid developm…
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…
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…
Building an Internet Radio System with Interdisciplinary factored system for automatic content recommendation
Krzysztof Wołk
Automatic systems for music content recommendation have assumed a new role in recent years. These systems have transformed from being just a convenient, standalone tool into an ins…
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…
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking
Krzysztof Wołk, Danijel Koržinek
Re-speaking is a mechanism for obtaining high quality subtitles for use in live broadcast and other public events. Because it relies on humans performing the actual re-speaking, th…
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…
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level
Krzysztof Wołk
Text alignment and text quality are critical to the accuracy of Machine Translation (MT) systems, some NLP tools, and any other text processing tasks requiring bilingual data. This…
Polish to English Statistical Machine Translation
Krzysztof Wołk
This research explores the effects of various training settings on a Polish to English Statistical Machine Translation system for spoken language. Various elements of the TED, Euro…
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…