Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Morphological Tagging and Lemmatization of Albanian: A Manually
  Annotated Corpus and Neural Models   In this paper, we present the first publicly available part-of-speech and
morphologically tagged corpus for the Albanian language, as well as a neural
morphological tagger and lemmatizer trained on it. There is currently a lack of
available NLP resources for Albanian, and its complex grammar and morphology
present challenges to their development. We have created an Albanian
part-of-speech corpus based on the Universal Dependencies schema for
morphological annotation, containing about 118,000 tokens of naturally occuring
text collected from different text sources, with an addition of 67,000 tokens
of artificially created simple sentences used only in training. On this corpus,
we subsequently train and evaluate segmentation, morphological tagging and
lemmatization models, using the Turku Neural Parser Pipeline. On the held-out
evaluation set, the model achieves 92.74% accuracy on part-of-speech tagging,
85.31% on morphological tagging, and 89.95% on lemmatization. The manually
annotated corpus, as well as the trained models are available under an open
license.

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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ex
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The categories of this paper are: econ
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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: gr-qc
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The categories of this paper are: q-alg
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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph