CLARIN-PL
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Clarin-PL Studio Corpus (EMU;updated phonetics)
No full textPolish speech corpus of read speech recorded in a studio. Contains many speakers, each reading a few dozen different sentences and a list of words with rare phonemes. Useful for analyzing modern Polish pronounciation.
This version of the corpus has updated the phonetic alphabet used to annotate the phonemes in each utterance
Wordnet – a Basic Resource for Natural Language Processing: the Case of plWordNet
Get PDFThis paper presents a wide scope of wordnet applications on the example of applications of plWordNet – a wordnet of Polish. Wordnets are large lexical-semantic databases functioning as primary resources for language technology. They are machine-readable dictionaries. Thus, they are indispensible for tasks such as basic flow of text processing, text mining, word sense disambiguation, information extraction and retrieval. On a larger scale, wordnets are used in research, education and business. In this paper a few examples of specific plWordNet applications are described in detail
Spis tagów używanych w narzędziach
No full textOpis tagów morfosyntaktycznych na potrzeby instrukcji narzędzi CLARIN-P
XLM-RoBERTa-LARGE events relation recognition
No full textA set of basic language tools for the Polish language. Z4.2a Improving the quality of recognition of relations between events using Transformer-type deep networks
Big Data language model with grammatical groups - ARPA
No full textBig Data Language model tagged with grammatical groups trained in ARPA format
Big Data language model with grammatical groups - RAW
No full textBig Data Language model tagged with grammatical groups in RAW format
Big Data language model in Word2Vec Skip-gram format.
No full textBig Data language model in Word2Vec Skip-gram format
Big Data language model tagged with POS - RAW.
No full textBig data language model tagged with POS - RA
EnglishWordNet 2020: Improving and Extending aWordNet for English using an Open-Source Methodology
Get PDFThe Princeton WordNet, while one of the most widely used resources for NLP, has not been updated for a long time, and as such a new project English WordNet has arisen to continue the development of the model under an open-source paradigm. In this paper, we detail the second release of this resource entitled “English WordNet 2020”. The work has focused firstly, on the introduction of new synsets and senses and developing guidelines for this and secondly, on the integration of contributions rom other projects. We present the changes in this edition, which total over 15,000 changes over the previous release