131 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Information Processing InstitutePL6 papers
- Polish Academy of SciencesPL5 papers
- Warsaw University of TechnologyPL5 papers
- University of WarsawPL4 papers
- Uniwersytet SWPSPL4 papers
- Institute of PsychologyPL3 papers
- Instytut Nauk EkonomicznychPL3 papers
- ETH ZurichCH2 papers
- Institute of Fundamental Technological ResearchPL2 papers
- Tomsk Polytechnic UniversityRU2 papers
- University of TrentoIT2 papers
- Wyższa Szkoła Zarządzania w GdańskuPL2 papers
14 papers · 1 filter
Golden Years, Golden Shores: A Study of Elders in Online Travel Communities
Bartłomiej Balcerzak, Radosław Nielek
In this paper we present our exploratory findings related to extracting knowledge and experiences from a community of senior tourists. By using tools of qualitative analysis as wel…
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…
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…
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…
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…
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…