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COLING
2000
15 years 2 months ago
Language Identification In Unknown Signals
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
John R. Elliott, Eric Atwell, Bill Whyte
99
Voted
NAACL
2007
15 years 2 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
ITICSE
2005
ACM
15 years 6 months ago
Teaching programming and language concepts using LEGOs
concepts more concrete. The method has two main learning outcomes: • Language Specification – The goal of the assignment is to be able to build LEGO® creations on a standard g...
Cynthia S. Hood, Dennis J. Hood
128
Voted
NIPS
2000
15 years 2 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
107
Voted
ICGI
2004
Springer
15 years 6 months ago
Partial Learning Using Link Grammars Data
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
Erwan Moreau