Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 105
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 224
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => The 2022 Christmas speech of the King of Spain through Analhitza@en
                    [1] => El discurso de Navidad del rey de España del año 2022 a través de Analhitza@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => This study examines the ITXA platform and its Analhitza tool, an initiative developed by the University of the Basque Country. ITXA provides computational linguistics resources for Basque, Spanish and English, facilitating the analysis of texts using tools such as Xuxen.
Analhitza allows the automatic extraction of linguistic information, being useful for areas such as research or teaching. In order to understand the capabilities and limitations of the tool, an analysis of the King of Spain´s Christmas speech in 2022 has been carried out. In its evaluation, the tool demonstrates its effectiveness in semantic and morphological analysis, as well as detecting certain areas for improvement.@en
                    [1] => El presente estudio examina la plataforma ITXA y su herramienta Analhitza, iniciativa desarrollada por la Universidad del País Vasco. ITXA proporciona recursos de lingüística computacional para el euskera, el español y el inglés, facilitando el análisis de textos mediante herramientas como Xuxen.
Analhitza permite la extracción automática de información lingüística, siendo útil para áreas como la investigación o la enseñanza. Para poder conocer las capacidades y limitaciones de la herramienta, se ha llevado a cabo un análisis del discurso de Navidad del rey de España del año 2022. En su evaluación, la herramienta demuestra su eficacia en el análisis semántico y morfológico, del mismo modo que se detectan ciertas áreas de mejora.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Julia Muñoz Moreno de Vega
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Lingüística computacional@es
                    [1] => Multilingüismo@es
                    [2] => Procesamiento del lenguaje natural@es
                    [3] => Análisis de textos@es
                    [4] => Analhitza@es
                    [5] => Computational lingüistics@en
                    [6] => Multilingualism@en
                    [7] => Natural language processing@en
                    [8] => Text analysis@en
                    [9] => Analhitza@en
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 5
                    [nr] => 
                    [year] => 2024
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2024-11-06
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.24215/27187470e060
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://revistas.unlp.edu.ar/publicaahd/article/view/14950
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://revistas.unlp.edu.ar/publicaahd/article/view/14950/17432
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => RESERVED
                    [1] => by-sa/4.0/
                )

        )

)