Advanced search
Showing result 1 - 5 of 7 essays matching the above criteria.
-
1. Syntax-based Concept Alignment for Machine Translation
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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
-
2. Grammatical Error Correction for Learners of Swedish as a Second Language
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Grammatical Error Correction refers to the task of automatically correcting errors in written text, typically with respect to texts written by learners of a second language. The work in this thesis implements and evaluates two methods to Grammatical Error Correction for Swedish. READ MORE
-
3. Chinese Zero Pronoun Resolution with Neural Networks
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this thesis, I explored several neural network-based models to resolve the issues of zero pronoun in Chinese English translation tasks. I reviewed previous work that attempts to take the resolution as a classification task, such as determining if a candidate in a given set is the antecedent of a zero pronoun, which can be categorized as rule-based and supervised methods. READ MORE
-
4. What the BERT? : Fine-tuning KB-BERT for Question Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work explores the capabilities of KB-BERT on the downstream task of Question Classification. The TREC data set for Question Classification with the Li and Roth taxonomy was translated to Swedish, by manually correcting the output of Google’s Neural Machine Translation. 500 new data points were added. READ MORE
-
5. Improving Transformer-Based Molecular Optimization Using Reinforcement Learning
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : By formulating the task of property-based molecular optimization into a neural machine translation problem, researchers have been able to apply the Transformer model from the field of natural language processing to generate molecules with desirable properties by making a small modification to a given starting molecule. These results verify the capability of Transformer models in capturing the connection between properties and structural changes in molecular pairs. READ MORE
