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Description

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Description

In this workflow we compare stems produced by different stemmer to lemma annotations in different golden standard corpora in order to see which stemmer produces stems most similar to lemmas.

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Description

In this experiment we evaluate POS 3-gram sequences in gender classification task by applying chi square test which checks for dependence between a specific class (male, female) and a feature.

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Description

Wordnet lemmatizer, Lemmagen lemmatizer and a lemmatizer from Pattern library are evaluated on a set of different golden standards.

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Description

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Description

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Description

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Description

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Description

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Description

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Description

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Description

POS taggers are evaluated in a settings where POS 3-gram sequences are used as features in a bag-of-words model for gender prediction

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Description

In this workflow we evaluate taggers on their contribution to performance in a lemmatization task, where POS tags are used as additional input for Wordnet lemmatizer during lemmatization. Accuracy of lemmatization is measured on GUM corpus with hand annotated lemmas.

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Description

In this experiment we evaluate all implemented trainable POS taggers on 6 different golden standard corpora. All taggers are trained on NLTK Wall street journal sample.

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Description

In this experiment we measure the influence of the size of the training set on POS tagger performance. 7 different POS taggers are trained on first 1000, 2000, 3000 and all sentences of the NLTK WSJ sample. Their performance is measured on GUM corpus.

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Description

In this experiment we compare NLTK perceptron tagger to Chained tagger (created by chaining 2 N-gram taggers, Affix tagger and default tagger) on 6 different golden standard corpora

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Description

In this experiment we compare taggers trained on NLTK WSJ sample to taggers trained on NPS Chat corpus on a corpus of tagged tweets.

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Description

In this workflow we compare pretrained taggers to taggers trained on NLTK Penn Treebank WSJ sample on 6 different golden standards

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Description

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Description

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Description

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Description

In this workflow we measure the influence of different stemmers and lemmatizers on a performance of a classifier in a classification task.

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