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Introducción Destination: 1 Children: Item: Title: 1.1 Objetivos Destination: 1 Item: Title: 2. Marco teórico y antecedentes Destination: 1 Children: Item: Title: 2.1 Situación de los idiomas de Italia y el fanés. Destination: 1 Item: Title: 2.1 La traducción automática basada en reglas Destination: 1 Item: Title: 2.2 El traductor automático de la plataforma Apertium Destination: 1 Item: Title: 3. Metodología Destination: 1 Children: Item: Title: 3.1 Preparación del entorno Ubuntu e instalación de Apertium Destination: 1 Item: Title: 3.2 Elaboración de los diccionarios monolingüe y bilingüe Destination: 1 Children: Item: Title: 3.2.1 Paradigmas verbales Destination: 1 Item: Title: 4. Resultados Destination: 1 Children: Item: Title: 4.1 Verbos Destination: 1 Item: Title: 4.2 Léxico Destination: 1 Item: Title: 5. Conclusiones Destination: 1 Item: Title: Bibliografía Destination: 1 Info: Author: Federico Creator: Microsoft® Word para Office 365 Producer: Microsoft® Word para Office 365; modified using iText® 5.1.3 ©2000-2011 1T3XT BVBA CreationDate: Mon Jun 03 17:42:44 CEST 2019 ModDate: Mon Jun 03 17:50:18 CEST 2019 ID: 0xfa81c3fa6cd95d597b67fa29a2c7771a, 0x8d1f52c16c63bc70513903e3b39529f8 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 817 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Interpolate: true Image: NisoImageMetadata: ImageWidth: 396 ImageHeight: 399 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Interpolate: false Image: NisoImageMetadata: ImageWidth: 1036 ImageHeight: 788 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Interpolate: false Image: NisoImageMetadata: ImageWidth: 527 ImageHeight: 358 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