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The Experts below are selected from a list of 3966 Experts worldwide ranked by ideXlab platform

Andreas Nurnberger - One of the best experts on this subject based on the ideXlab platform.

Nürnberger Andreas - One of the best experts on this subject based on the ideXlab platform.

  • Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
    2021
    Co-Authors: Gezmu, Andargachew Mekonnen, Seyoum, Binyam Ephrem, Gasser Michael, Nürnberger Andreas
    Abstract:

    We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-syntactic information. Texts are collected from 25,199 documents from different domains and about 24 million orthographic words are tokenized. Since it is partly a web corpus, we made some automatic spelling error correction. We have also modified the existing morphological analyzer, HornMorpho, to use it for the automatic tagging.Comment: Published in Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing at COLING 201

Rahayu, Dwi Listyo - One of the best experts on this subject based on the ideXlab platform.

Andargachew Mekonnen Gezmu - One of the best experts on this subject based on the ideXlab platform.

Gezmu, Andargachew Mekonnen - One of the best experts on this subject based on the ideXlab platform.

  • Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
    2021
    Co-Authors: Gezmu, Andargachew Mekonnen, Seyoum, Binyam Ephrem, Gasser Michael, Nürnberger Andreas
    Abstract:

    We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-syntactic information. Texts are collected from 25,199 documents from different domains and about 24 million orthographic words are tokenized. Since it is partly a web corpus, we made some automatic spelling error correction. We have also modified the existing morphological analyzer, HornMorpho, to use it for the automatic tagging.Comment: Published in Proceedings of the First Workshop on Linguistic Resources for Natural Language Processing at COLING 201