DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task
نویسندگان
چکیده
This paper describes the DCU-Lingo24 submission to WMT 2014 for the HindiEnglish translation task. We exploit miscellaneous methods in our system, including: Context-Informed PB-SMT, OOV Word Conversion (OWC), MultiAlignment Combination (MAC), Operation Sequence Model (OSM), Stemming Align and Normal Phrase Extraction (SANPE), and Language Model Interpolation (LMI). We also describe various preprocessing steps we tried for Hindi in this task.
منابع مشابه
RED: DCU-CASICT Participation in WMT2014 Metrics Task
Based on the last year’s DCU-CASIST participation on WMT metrics task, we further improve our model in the following ways: 1) parameter tuning 2) support languages other than English. We tuned our system on all the data of WMT 2010, 2012 and 2013. The tuning results as well as the WMT 2014 test results are reported.
متن کاملMaTrEx: The DCU MT System for WMT 2008
In this paper, we give a description of the machine translation system developed at DCU that was used for our participation in the evaluation campaign of the Third Workshop on Statistical Machine Translation at ACL 2008. We describe the modular design of our datadriven MT system with particular focus on the components used in this participation. We also describe some of the significant modules ...
متن کاملThe DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task
This paper describes the DCU submission to WMT 2014 on German-English translation task. Our system uses phrasebased translation model with several popular techniques, including Lexicalized Reordering Model, Operation Sequence Model and Language Model interpolation. Our final submission is the result of system combination on several systems which have different pre-processing and alignments.
متن کاملRED, The DCU-CASICT Submission of Metrics Tasks
Based on the last year’s DCU-CASIST participation on WMT metrics task, we further improve our model in the following ways: 1) parameter tuning 2) support languages other than English. We tuned our system on all the data of WMT 2010, 2012 and 2013. The tuning results as well as the WMT 2014 test results are reported.
متن کاملX : the DCU MT System for WMT 2008
In this paper, we give a description of the machine translation system developed at DCU that was used for our participation in the evaluation campaign of the Third Workshop on Statistical Machine Translation at ACL 2008. We describe the modular design of our datadriven MT system with particular focus on the components used in this participation. We also describe some of the significant modules ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014