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  1. 1. Syntax-based Concept Alignment for Machine Translation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Arianna Masciolini; [2023-03-30]
    Nyckelord :computational linguistic; machine translation; concept alignment; syntax; dependency parsing; Universal Dependencies; Grammatical Framework;

    Sammanfattning : This thesis presents a syntax-based approach to Concept Alignment (CA), the task of finding semantical correspondences between parts of multilingual parallel texts, with a focus on Machine Translation (MT). Two variants of CA are taken into account: Concept Extraction (CE), whose aim is to identify new concepts by means of mere linguistic comparison, and Concept Propagation (CP), which consists in looking for the translation equivalents of a set of known concepts in a new language. LÄS MER

  3. 2. How negation influences word order in languages : Automatic classification of word order preference in positive and negative transitive clauses

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Chen Lyu; [2023]
    Nyckelord :;

    Sammanfattning : In this work, we explore the possibility of using word alignment in parallel corpus to project language annotations such as Part-of-Speech tags and dependency relation from high-resource languages to low-resource languages. We use a parallel corpus of Bible translations, including 1,444 translations in 986 languages, and a well-developed parser is used to annotate source languages (English, French, German, and Czech). LÄS MER

  4. 3. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Iliana Fosteri; [2023]
    Nyckelord :dependency parsing; part-of-speech tagging; low-resource languages; transcribed speech; large language models; cross-lingual learning; transfer learning; multi-task learning; Universal Dependencies;

    Sammanfattning : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. LÄS MER

  5. 4. Multitrådad Schemaläggning avxtUML Modeller : Utfört på Saab Dynamics

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Carolina Gripsborn; [2022]
    Nyckelord :xtuml; bridgepoint; multithreading; xtuml; bridgepoint; multitrådning;

    Sammanfattning : Executable and Translatable UML (xtUML) is a modeling methodology where a system is constructed using a set of UML models and an action language, which can be translated to a target implementation and compiled into an executable program. It allows for good readability and understanding of the workings of the system and relations between its different parts, easy testing and reusability. LÄS MER

  7. 5. A Survey of Non-Projective Dependencies and a Novel Approach to Projectivization for Parsing

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :James Decatur; [2022]
    Nyckelord :dependency parsing; non-projective dependencies; projectivization;

    Sammanfattning : Non-projective dependencies remain an at large issue in the field of dependency parsing. Regardless of what parsing algorithm is used, researchers run into the issue of computational speed and lower parsing performance on non-projective dependencies than on projective dependencies. LÄS MER