Sökning: "statistical machine translation"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden statistical machine translation.
1. Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation
Sammanfattning : Automatic translation has seen tremendous progress in recent years, mainly thanks to statistical methods applied to large parallel corpora. Transductions represent a principled approach to modeling translation, but existing transduction classes are either not expressive enough to capture structural regularities between natural languages or too complex to support efficient statistical induction on a large scale. LÄS MER
2. Discourse in Statistical Machine Translation
Sammanfattning : This thesis addresses the technical and linguistic aspects of discourse-level processing in phrase-based statistical machine translation (SMT). Connected texts can have complex text-level linguistic dependencies across sentences that must be preserved in translation. However, the models and algorithms of SMT are pervaded by locality assumptions. LÄS MER
3. Compound Processing for Phrase-Based Statistical Machine Translation
Sammanfattning : In this thesis I explore how compound processing can be used to improve phrase-based statistical machine translation (PBSMT) between English and German/Swedish. Both German and Swedish generally use closed compounds, which are written as one word without spaces or other indicators of word boundaries. LÄS MER
4. Understanding Neural Machine Translation : An investigation into linguistic phenomena and attention mechanisms
Sammanfattning : In this thesis, I explore neural machine translation (NMT) models via targeted investigation of various linguistic phenomena and thorough exploration of the internal structure of NMT models, in particular the attention mechanism. With respect to linguistic phenomena, I explore the ability of NMT models to translate ambiguous words, to learn long-range dependencies, to learn morphology, and to translate negation—linguistic phenomena that have been challenging for the older paradigm of statistical machine translation. LÄS MER
5. Text Harmonization Strategies for Phrase-Based Statistical Machine Translation
Sammanfattning : In this thesis I aim to improve phrase-based statistical machine translation (PBSMT) in a number of ways by the use of text harmonization strategies. PBSMT systems are built by training statistical models on large corpora of human translations. This architecture generally performs well for languages with similar structure. LÄS MER