504 research outputs found

    WCRFT

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    WCRFT (Wrocław CRF Tagger) is a simple morpho-syntactic tagger for Polish producing state-of-the-art results. The tagger combines tiered tagging, conditional random fields (CRF) and features tailored for inflective languages written in WCCL. The algorithm and code are inspired by Wrocław Memory-Based Tagger

    Corpus2

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    Biblioteka programistyczna w języku C++ z opakowaniami pythonowymi. Czytanie i pisanie korpusów, struktury danych. Manipulacja tagsetami i tagami. Ułatwia szybkie pisanie tagerów i innych aplikacji NLP

    LexCSD

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    Dostarcza wspólny interfejs dla kilku pakietów zawierających klasyfikatory, m.in. Weka, TiMBL, chyba też Orange i NLTK

    NamEnSim

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    NamEnSim (Named Entity Similarity Function) is a tool to evaluate the value of the word pair similarity, using heterogeneous named entity similarity function. This tool allows to get the value of similarity between unknown word and items from gazetteers (e.g. person first names, person last names, country names). NamEnSim can also extract multi-word named entities from the source text using similarity function. This tool supports named entities recognition task (NER), e.g. Liner2. In the named entities "base - form" matching task NamEnSim achieves the accuracy of 81-96% for the similarity function based on logistic regresion and 84-98% for the similarity function based on inflection rules (results depend on the named entity category)

    Liner2

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    Rozpoznaje nazwy własne w tekście polskim

    WMBT

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    WMBT (Wrocław Memory-Based Tagger) is a simple morpho-syntactic tagger for Polish producing state-of-the-art results. WMBT uses TiMBL API as the underlying Memory-Based Learning implementation. The features for classification are generated by using WCCL. WMBT uses a tiered tagging approach. Grammatical class is disambiguated first, then subsequent attributes (as defined in a config file) are taken care of. Each attribute may be supplied a different set of features. The software package comes with default configurations for KIPI/IPIC and NKJP tagsets (kipi-guess.ini and nkjp-guess.ini)

    WCCL

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    WCCL (Wrocław Corpus Constraint Language) is a formalism for writing functional expressions evaluated on morpho-syntactically annotated text. These expressions may be used directly as features for Machine Learning classification. Implementation-wise, WCCL is a set of simple command-line utils, as well as the underlying C++ library with Python wrappers, suitable for rapid development of taggers, chunkers, etc. WCCL is targeted at Polish, although the only obstacle to processing other inflectional languages is probably the assumed string representation of tags and corpus I/O formats

    NER WS

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    Web service for Liner

    WCRFT - Wrocław CRF Tagger

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    WCRFT is a morphosyntactic tagger for Polish. The tagger brings together Conditional Random Fields (CRF) and tiered tagging. The code is written in C++ and uses following components: CRF++ classifier, WCCL: formalism for morphosyntactic feature generation (and its implementation), corpus2: a library for rapid NLP application development, supporting positional tagsets

    WordnetLoom

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    WordnetLoom – is an wordnet editor application built for the needs of the construction of a the largest Polish wordnet called plWordNet. WordnetLoom provides two means of interaction: a form-based, implemented initially, and a visual, graph-based introduced recently. The visual, graph-based interactive presentation of the wordnet structure enables browsing and its direct editing on the structure of lexico-semantic relations and synsets. WordnetLooms works in a distributed environment, i.e. several linguists can work simulanuously from different sites on the same central database

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