Sökning: "character-based statistical machine translation"
Hittade 1 uppsats innehållade orden character-based statistical machine translation.
1. Spelling Normalization of English Student Writings
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Spelling normalization is the task to normalize non-standard words into standard words in texts, resulting in a decrease in out-of-vocabulary (OOV) words in texts for natural language processing (NLP) tasks such as information retrieval, machine translation, and opinion mining, improving the performance of various NLP applications on normalized texts. In this thesis, we explore different methods for spelling normalization of English student writings including traditional Levenshtein edit distance comparison, phonetic similarity comparison, character-based Statistical Machine Translation (SMT) and character-based Neural Machine Translation (NMT) methods. LÄS MER