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LREC
2010
181views Education» more  LREC 2010»
15 years 5 months ago
Linguistically Motivated Unsupervised Segmentation for Machine Translation
In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Mark Fishel, Harri Kirik
130
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LREC
2010
155views Education» more  LREC 2010»
15 years 5 months ago
Automatic Acquisition of Chinese Novel Noun Compounds
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method t...
Meng Wang, Chu-Ren Huang, Shiwen Yu, Weiwei Sun
116
Voted
LREC
2010
200views Education» more  LREC 2010»
15 years 5 months ago
The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms
In this paper, we present the D-TUNA corpus, which is the first semantically annotated corpus of referring expressions in Dutch. Its primary function is to evaluate and improve th...
Ruud Koolen, Emiel Krahmer
128
Voted
LREC
2010
206views Education» more  LREC 2010»
15 years 5 months ago
FreeLing 2.1: Five Years of Open-source Language Processing Tools
FreeLing is an open-source multilingual language processing library providing a wide range of language analyzers for several languages. It offers text processing and language anno...
Lluís Padró, Miquel Collado, Samuel ...
142
Voted
EMNLP
2008
15 years 5 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
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