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Proceedings of the International Workshop on Spoken Language Translation, Paris, France: December 2nd and 3rd, 2010
Bibliografi
Author:
Federico, Marcello
;
Lane, Ian
;
Paul, Michael
;
Yvon, Francois
;
Mariani, Joseph
Bahasa:
(EN )
Tahun Terbit:
2010
Jenis:
Proceeding
Artikel dalam koleksi ini
Cover, content, foreword, organizers, acknowledgments, participants, program
Index
Keynotes
Overview of the IWSLT 2010 Evaluation Campaign
, halaman 3-27
AppTek’s APT Machine Translation System for IWSLT 2010
, halaman 29-36
The DCU Machine Translation Systems for IWSLT 2010
, halaman 37-44
N-gram-based Machine Translation enhanced with Neural Networks for the French-English BTECIWSLT’ 10 task
, halaman 45-52
FBK @ IWSLT 2010
, halaman 53-58
The GREYC/LLACAN Machine Translation Systems for the IWSLT 2010 Campaign
, halaman 59-65
I2R Machine Translation System for IWSLT 2010
, halaman 67-72
I2R Machine Translation System for IWSLT 2010
, halaman 67-72
The ICT Statistical Machine Translation Systems for IWSLT 2010
, halaman 73-79
The INESC-ID Machine Translation System for the IWSLT 2010
, halaman 81-84
ITI-UPV system description for IWSLT 2010
, halaman 85-92
The KIT Translation system for IWSLT 2010
, halaman 93-98
LIG Statistical Machine Translation Systems for IWSLT 2010
, halaman 99-104
LIMSI @ IWSLT 2010
, halaman 105-112
LIUM’s Statistical Machine Translation System for IWSLT 2010
, halaman 113-117
The MIRACL Arabic-English Statistical Machine Translation System for IWSLT 2010
, halaman 119-125
The MIT/LL-AFRL IWSLT-2010 MT System
, halaman 127-134
The MSRA Machine Translation System for IWSLT 2010
, halaman 135-138
The NICT Translation System for IWSLT 2010
, halaman 139-146
NTT Statistical Machine Translation System for IWSLT 2010
, halaman 147-152
The POSTECH’s Statistical Machine Translation System for the IWSLT 2010
, halaman 153-156
The QMUL System Description for IWSLT 2010
, halaman 157-162
The RWTH Aachen Machine Translation system for IWSLT 2010
, halaman 163-168
Tel Aviv University’s System Description for IWSLT 2010
, halaman 169-174
Statistical Pattern-Based Machine Translation with Statistical French-English Machine Translation
, halaman 175-182
The TÜB?ITAK-UEKAE Statistical Machine Translation System for IWSLT 2010
, halaman 183-188
UPC-BMIC-VDU system description for the IWSLT 2010: testing several collocation segmentations in a phrase-based SMT system
, halaman 189-195
The ILLC-UvA SMT System for IWSLT 2010
, halaman 197-203
The UvA System Description for IWSLT 2010
, halaman 205-207
CCG Augmented Hierarchical Phrase-Based Machine Translation
, halaman 211-218
An algorithm for cross-lingual sense-clustering tested in a MT evaluation setting
, halaman 219-226
Mining Parallel Fragments from Comparable Texts
, halaman 227-234
Improved Vietnamese-French Parallel Corpus Mining Using English Language
, halaman 235-242
Analysis of Translation Model Adaptation in Statistical Machine Translation
, halaman 243-250
The pay-offs of preprocessing for German-English Statistical Machine Translation
, halaman 251-258
A Bayesian Model of Bilingual Segmentation for Transliteration
, halaman 259-266
Faster Cube Pruning
, halaman 267-274
Factor Templates for Factored Machine Translation Models
, halaman 275-282
Modelling Pronominal Anaphora in Statistical Machine Translation
, halaman 283-289
A Combination of Hierarchical Systems with Forced Alignments from Phrase-Based Systems
, halaman 291-297
Multi-Pivot Translation by System Combination
, halaman 299-306
Real-Time Spoken Language Identification and Recognition For Speech-to-Speech Translation
, halaman 307-312
Towards a General and Extensible Phrase-Extraction Algorithm
, halaman 313-320
MorphTagger: HMM-Based Arabic Segmentation for Statistical Machine Translation
, halaman 321-327
Comparing Intrinsic and Extrinsic Evaluation of MT Output in a Dialogue System
, halaman 329-336
Sign Language Machine Translation Overkill
, halaman 337-344
If I Only Had a Parser: Poor Man’s Syntax for Hierarchical Machine Translation
, halaman 345-352
Dynamic Distortion in a Discriminative Reordering Model for Statistical Machine Translation
, halaman 353-360
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