Báo cáo khoa học: "Stochastic Lexicalized Inversion Transduction Grammar for Alignment" ppt

... · β(Z(e/f ), l, n, k, j) end for end for end for ✄ word pair generation rule β(X, l, m, i, j) += P (X(e/f) | X) ·β(X(e/f), l, m, i, j) end for end for end for end for 2.2 Pruning We need to further ... parallel Chinese-English corpus in Section 3. 475 2 Lexicalization of Inversion Transduction Grammars An Inversion Transduction Grammar can generate pairs of sentences i...

Ngày tải lên: 31/03/2014, 03:20

... F k (⋊Σ ∗ ⋉) − S are the forbidden k-factors. For example, bb and ⋊b are forbidden 2-factors for L = aa ∗ (b + c). More generally, any SL language L excludes ex- actly those words with any forbidden factors; ... all finite subsets of some set A. A grammar G is a particular finite subset of A and the language of the grammar is all words which f maps to a subset of G. For L T,k , the g...

Ngày tải lên: 07/03/2014, 22:20

... designed to capture the infor- mation present in a baseline alignment. This model allows us to compute the probability of an align- ment for a given sentence pair. It also allows for the easy incorporation ... j  , rel) is active for this context. We refer to these as depen- dency features. Take for example Figure 3 which shows a par- tial alignment with all links completed except f...

Ngày tải lên: 17/03/2014, 06:20

... Context-Free Grammar 3.1 Manually Constructed Context-Free Grammar for Myanmar Syllable Structure Context free (CF) grammar refers to the grammar rules of languages which are formulated ... Processing where Chomsky`s grammar is used to describe the grammatical rules of natural languages. However, formulation rules have not been established for grammar for Myanmar...

Ngày tải lên: 17/03/2014, 22:20

... words which are not formed according to productive word formation processes. Thus, our parser only has to analyse words formed according to productive rules. Secondly, MORPA performs, if available, ... Categorial Grammar, our parser does not make use of a set of explicitly represented word formation rules. Instead, the morphological subcategorisation information is encoded in the form...

Ngày tải lên: 18/03/2014, 02:20

... system. For French, no such information is stored now, but in other work (Byrd, et al. (1987)) we have demonstrated the feasibility of transferring some additional lexical information (for example, ... inflected forms sharing the same lemma also share a great deal of other lexical information: namely the morphologically neutral information men- tioned earlier. Redundant storage o...

Ngày tải lên: 31/03/2014, 17:20

... of statistical information is an impor- tant issue, is POS-tagging, especially for the guess- ing of the POS-tag of words not present in the lex- icon. Relevant information for guessing the ... contextual information (the words and tags in the context of the word), and word form information (prefixes and suffixes, first and last letters of the word as an approximation of affix info...

Ngày tải lên: 31/03/2014, 21:20

... N for i = 1; i ≤ M; i = i +1 do for j = 1; j ≤ N; j = j +1 do for k = 1; k ≤ i; k = k +1 do for m = 1; m ≤ j; m = m +1 do score i,j,k,m = max{score i−1,j,k,m ,score i,j−1,k,m } ; end for end for score i,j,i,j = max n=1,M;p=1,N {score i,j,i,j , ... |ref|; for i = 1; i ≤ M; i = i +1 do for j = 1; j ≤ N; j = j +1 do for k = 1; k ≤ i; k = k +1 do for m = 1; m ≤ j; m = m +1 do...

Ngày tải lên: 08/03/2014, 02:21

... clinic information, Dr.’s information, confirmation for the clinic in- formation, registration time and clinic inference, are analyzed in this experiment. SDG PPT Bayes’ Clinic infor- mation ... accuracy for speech act identification 942 For example, the user may only say “yes” or “no” for confirmation. The misclassification in speech act will happen due to the limited inf...

Ngày tải lên: 08/03/2014, 02:21

... (WSJ) corpus for training, sections 19-21 for development, and sections 22-24 for final evaluation. The POS tags were extracted from the parse trees in the corpus. All experiments for this work, ... q i with zero for all i 4: for k = 0 to MaxIterations 5: η ← LEARNINGRATE(k) 6: u ← u + ηC/N 7: Select sample j randomly 8: UPDATEWEIGHTS(j) 9: 10: procedure UPDATEWEIGHTS(j) 11: for...

Ngày tải lên: 17/03/2014, 01:20