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Found 22 papers, 0 papers with code
Automated speech-based screening of depression using deep convolutional neural networks
Early detection and treatment of depression is essential in promoting remission, preventing relapse, and reducing the emotional burden of the disease.
Deep learning and sub-word-unit approach in written art generation
Our experiment was conducted on the source text, divided into sub-word units (at a level of resolution close to syllables).
Polish Read Speech Corpus for Speech Tools and Services
This paper describes the speech processing activities conducted at the Polish consortium of the CLARIN project.
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora
Parallel texts are a relatively rare language resource, however, they constitute a very useful research material with a wide range of applications.
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking
Re-speaking is a mechanism for obtaining high quality subtitles for use in live broadcast and other public events.
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora
The TED parallel text corpora for the IWSLT 2015 evaluation campaign were used to train language models, and to develop, tune, and test the system.
Unsupervised comparable corpora preparation and exploration for bi-lingual translation equivalents
The multilingual nature of the world makes translation a crucial requirement today.
Spoken Language Translation for Polish
Spoken language translation (SLT) is becoming more important in the increasingly globalized world, both from a social and economic point of view.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Enhancements in statistical spoken language translation by de-normalization of ASR results
This research investigates that automatic sentence segmentation of speech that is important for enriching speech recognition output and for aiding downstream language processing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics
Parallel sentences are a relatively scarce but extremely useful resource for many applications including cross-lingual retrieval and statistical machine translation.
Telemedicine as a special case of Machine Translation
The average results of Polish to English translations scores for BLEU, NIST, METEOR, and TER were relatively high and ranged from 70, 58 to 82, 72.
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level
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.
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation
Text alignment is crucial to the accuracy of Machine Translation (MT) systems, some NLP tools or any other text processing tasks requiring bilingual data.
Real-Time Statistical Speech Translation
This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically.
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2013
This research explores the effects of various training settings from Polish to English Statistical Machine Translation system for spoken language.
Enhanced Bilingual Evaluation Understudy
Our research extends the Bilingual Evaluation Understudy (BLEU) evaluation technique for statistical machine translation to make it more adjustable and robust.
Polish to English Statistical Machine Translation
This research explores the effects of various training settings on a Polish to English Statistical Machine Translation system for spoken language.
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts
The present research examines the effects of different training methods on a Polish-English Machine Translation system used for medical data.
Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs
Parallel sentences are a relatively scarce but extremely useful resource for many applications including cross-lingual retrieval and statistical machine translation.
Polish -English Statistical Machine Translation of Medical Texts
This new research explores the effects of various training methods on a Polish to English Statistical Machine Translation system for medical texts.
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2014
This research explores effects of various training settings between Polish and English Statistical Machine Translation systems for spoken language.
Tuned and GPU-accelerated parallel data mining from comparable corpora
The multilingual nature of the world makes translation a crucial requirement today.
