Адам аудармалары
Related Papers
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
\Ve describe a method for the fully automatic learning of hierarchical Iinite state translation models. The input to lhe method is transcribed sl)eech utterances and th(>ir corre.~l)on(ling hu. man translations, …...
Translating Named Entities Using Monolingual and Bilingual Resources
Named entity phrases are some of the most difficult phrases to translate because new phrases can appear from nowhere, and because many are domain specific, not to be found in …...
Automatic Recognition of Linguistic Replacements in Text Series Generated from Keystroke Logs
AbstractThis paper introduces a toolkit used for the purpose of detecting replacements of different grammatical and semantic structures in ongoing text production logged as a chronological series of computer interaction …...
SubCo: A Learner Translation Corpus of Human and Machine Subtitles
AbstractIn this paper, we present a freely available corpus of human and automatic translations of subtitles. The corpus comprises, the original English subtitles (SRC), both human (HT) and machine translations …...
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
AbstractMultilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance problem. Prior works propose to utilize …...