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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas ... Mager, Manuel; Oncevay, Arturo; Ebrahimi, Abteen. - : Association for Computational Linguistics, 2021 BASE Show details 2 Morphological segmentation for extracting Spanish-Nahuatl bilingual lexicon ; Segmentación morfológica para extraer un lexicón bilingüe español-náhuatl Gutierrez-Vasques, Ximena; Medina-Urrea, Alfonso; Sierra Martínez, Gerardo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019 Abstract: The aim of this work is to extract word translation pairs from a small parallel corpus and to measure the impact of dealing with morphology for improving this task. We focus on the language pair Spanish-Nahuatl, both languages are morphologically rich and distant from each other. We generate semi-supervised morphological segmentation models and we compare two approaches (estimation, association) for extracting bilingual correspondences. We show that taking into account typological properties of the languages, such as the morphology, helps to counteract the negative effect of working with a low-resource language. ; El objetivo de este trabajo es extraer pares de traducción a partir de un corpus paralelo pequeño, así como medir el impacto de lidiar con la morfología para mejorar esta tarea. Nos enfocamos en el par de lenguas español-náhuatl, las dos lenguas son morfológicamente ricas y tipológicamente distantes. Generamos modelos semisupervisados de segmentación morfológica y comparamos dos enfoques (estimativo, asociativo) para extraer pares bilingües de palabras. Mostramos que tomar en cuenta las propiedades tipológicas de la lengua, como la morfología, ayuda a contrarrestar el efecto negativo de trabajar con una lengua de bajos recursos. ; This work was supported by the Mexican Council of Science and Technology (CONACYT), fund 2016- 01-2225. Keyword: Bilingual; Bilingüe; Español; Lenguajes y Sistemas Informáticos; Morfología; Morphology; Nahuatl; Spanish; Traducción; Translation URL: https://doi.org/10.26342/2019-63-4 http://hdl.handle.net/10045/96596 BASE Hide details 3 Productivity and Predictability for Measuring Morphological Complexity Gutierrez-Vasques, Ximena; Mijangos, Victor In: Entropy (Basel) (2019) BASE Show details 4 EXTRACCIÓN LÉXICA BILINGÜE AUTOMÁTICA PARA LENGUAS DE BAJOS RECURSOS DIGITALES ... Gutierrez-Vasques, Ximena. - : Unpublished, 2018 BASE Show details 5 Comparing morphological complexity of Spanish, Otomi and Nahuatl ... Gutierrez-Vasques, Ximena; Mijangos, Victor. - : arXiv, 2018 BASE Show details 6 Challenges of language technologies for the indigenous languages of the Americas ... Mager, Manuel; Gutierrez-Vasques, Ximena; Sierra, Gerardo. - : arXiv, 2018 BASE Show details 7 Low-resource bilingual lexicon extraction using graph based word embeddings ... Gutierrez-Vasques, Ximena; Mijangos, Victor. - : arXiv, 2017 BASE Show details

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