Essays about: "Neural Machine Translation"

Showing result 1 - 5 of 34 essays containing the words Neural Machine Translation.

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

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

   Abstract : 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. READ MORE

3. 2. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fernando Vallecillos Ruiz; [2023]
   Keywords : Automatic Program Repair; Software Engineering; Large Language Models; Round-Trip Translation; Neural Machine Translation; Automatisk programreparation; Mjukvaruutveckling; Stora språkmodeller; Tur och retur-översättning; Neural maskinöversättning;

   Abstract : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. READ MORE

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

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

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

   Abstract : 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. READ MORE

5. 4. Detecting Logical Errors in Programming Assignments Using code2seq

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Anton Lückner; Kevin Chapman; [2023]
   Keywords : Automated feedback; code2seq; machine learning; neural machine translation;

   Abstract : The demand for new competent programmers is increasing with the ever-growing dependency on technology. The workload for teachers with more and more students creates the need for more automated tools for feedback and grading. READ MORE

6. 5. Text simplification in Swedish using transformer-based neural networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Samuel Söderberg; [2023]
   Keywords : Machine learning; Natural language processing; Text simplification; Datasets; Maskininlärning; Neurolingvistisk programmering; Textförenkling; Dataset;

   Abstract : Textförenkling innebär modifiering av text så att den blir lättare att läsa genom ersättning av komplexa ord, ändringar av satsstruktur och/eller borttagning av onödig information. Forskning existerar kring textförenkling på svenska, men användandet av neurala nätverk inom området är begränsat. READ MORE