Sökning: "multi languages"

Visar resultat 1 - 5 av 83 uppsatser innehållade orden multi languages.

1. 1. A quantitative study of Swedish high school L2 learners' receptive knowledge of English lexical collocations

   Kandidat-uppsats, Lunds universitet/Engelska

   Författare :Louise Frifelt; [2024]
   Nyckelord :Collocations; Multi-word units; Formulaic language; Second language acquisition; Languages and Literatures;

   Sammanfattning : This paper investigates receptive knowledge of English lexical collocations among Swedish high school students. The study tests the claim that L2 (second language) learners of English have a low level of collocational competence and tend to recognise high-frequent collocations more than low-frequent since the former have been encountered more. LÄS MER

3. 2. Code Synthesis for Heterogeneous Platforms

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Zhouxiang Fu; [2023]
   Nyckelord :Code Synthesis; Heterogeneous Platform; Zero-Overhead Topology Infrastructure; Kodsyntes; Heterogen plattform; Zero-Overhead Topologi Infrastruktur;

   Sammanfattning : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. LÄS MER

4. 3. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

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

   Författare :Mathias Stenlund; [2023]
   Nyckelord :machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

   Sammanfattning : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. LÄS MER

5. 4. Analyzing user feedback written inmultiple languages and automatically identifyingrequirements from that feedback

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Bhargav Sakamuri; Rithika Vardhan; [2023]
   Nyckelord :Multi-lingual; NLP; Requirements; Automation; Tweets;

   Sammanfattning : Background. Requirements gathering is the most important and often an errorprone task in the software development cycle. There is no perfect procedure to getthe requirements for the developing product. Every organization employs its way ofextracting requirements, and the most common way is to extract requirements fromuser stories. LÄS MER

7. 5. 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