diff options
author | graehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-09-23 00:10:52 +0000 |
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committer | graehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-09-23 00:10:52 +0000 |
commit | 3a802d691a34fe4a75af110fc8c4a771f18b7641 (patch) | |
tree | 1d1494a1a1c1a1def5b05893f0d4dac9ae904c13 /decoder/apply_fsa_models.cc | |
parent | 6409c2c91b7fd3d3b42c6bb0d3376b83eb4d5611 (diff) |
pausing earley best-first fsa work
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@656 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'decoder/apply_fsa_models.cc')
-rwxr-xr-x | decoder/apply_fsa_models.cc | 141 |
1 files changed, 101 insertions, 40 deletions
diff --git a/decoder/apply_fsa_models.cc b/decoder/apply_fsa_models.cc index 6031dbab..3e93cadd 100755 --- a/decoder/apply_fsa_models.cc +++ b/decoder/apply_fsa_models.cc @@ -165,6 +165,16 @@ struct PrefixTrieEdge { struct PrefixTrieNode { best_t p; // viterbi (max prob) of rule this node leads to - when building. telescope later onto edges for best-first. // bool final; // may also have successors, of course. we don't really need to track this; a null dest edge in the adj list lets us encounter the fact in best first order. + void p_delta(int next,best_t &p) const { + p*=adj[next].p; + } + void inc_adj(int &next,best_t &p) const { + p/=adj[next].p; //TODO: cache deltas + ++next; + p*=adj[next].p; + } + + typedef TrieBackP BP; typedef std::vector<BP> BPs; void back_vec(BPs &ns) const { @@ -249,7 +259,7 @@ public: // assert(edge.p.is_1()); // actually, after done_building, e will have telescoped dest->p/p. NTHandle n=-edge.w; assert(n>=0); - SHOWM3(DPFSA,"index_lhs",i,edge,n); +// SHOWM3(DPFSA,"index_lhs",i,edge,n); v[n]=edge.dest; } } @@ -428,24 +438,6 @@ private: }; -// these should go in a global best-first queue -struct ItemPrio { - // NOTE: sum = viterbi (max) - ItemPrio() : priority(init_0()),inner(init_0()) { } - best_t priority; // includes inner prob. (forward) - /* The forward probability alpha_i(X[k]->x.y) is the sum of the probabilities of all - constrained paths of length i that end in state X[k]->x.y*/ - best_t inner; - /* The inner probability beta_i(X[k]->x.y) is the sum of the probabilities of all - paths of length i-k that start in state X[k,k]->.xy and end in X[k,i]->x.y, and generate the input symbols x[k,...,i-1] */ - template<class O> - void print(O &o) const { - o<<priority; // TODO: show/use inner? - } - typedef ItemPrio self_type; - SELF_TYPE_PRINT - -}; typedef std::size_t ItemHash; @@ -499,15 +491,52 @@ typedef Item *ItemP; # define INIT_LOCATION #endif +// these should go in a global best-first queue +struct ItemPrio { + // NOTE: sum = viterbi (max) + ItemPrio() : priority(init_0()),inner(init_0()) { } + explicit ItemPrio(best_t priority) : priority(priority),inner(init_0()) { } + best_t priority; // includes inner prob. (forward) + /* The forward probability alpha_i(X[k]->x.y) is the sum of the probabilities of all + constrained paths of length i that end in state X[k]->x.y*/ + best_t inner; + /* The inner probability beta_i(X[k]->x.y) is the sum of the probabilities of all + paths of length i-k that start in state X[k,k]->.xy and end in X[k,i]->x.y, and generate the input symbols x[k,...,i-1] */ + template<class O> + void print(O &o) const { + o<<priority; // TODO: show/use inner? + } + typedef ItemPrio self_type; + SELF_TYPE_PRINT +}; + +#define ITEM_TYPE(X,t) \ + X(t,ADJ,=-1) \ + +#define ITEM_TYPE_TYPE ItemType + +DECLARE_NAMED_ENUM(ITEM_TYPE) +DEFINE_NAMED_ENUM(ITEM_TYPE) + struct Item : ItemPrio,ItemKey { - explicit Item(NodeP dot,int next=0) : ItemKey(dot),trienext(next),from(0) +/* explicit Item(NodeP dot,best_t prio,int next) : ItemPrio(prio),ItemKey(dot),trienext(next),from(0) INIT_LOCATION - { } - explicit Item(NodeP dot,FFState const& state,int next=0) : ItemKey(dot,state),trienext(next),from(0) + { }*/ +// ItemType t; + // lazy queueing of succesors item: + bool is_trie_adj() const { + return trienext>=0; + } + explicit Item(FFState const& state,NodeP dot,best_t prio,int next=0) : ItemPrio(prio),ItemKey(dot,state),trienext(next),from(0) INIT_LOCATION - { } + { +// t=ADJ; +// if (dot->adj.size()) + dot->p_delta(next,priority); +// SHOWM1(DFSA,"Item(state,dot,prio)",prio); + } typedef std::queue<ItemP> Predicted; - Predicted predicted; // this is empty, unless this is a predicted L -> .asdf item, or a to-complete L -> asdf . +// Predicted predicted; // this is empty, unless this is a predicted L -> .asdf item, or a to-complete L -> asdf . int trienext; // index of dot->adj to complete (if dest==0), or predict (if NT), or scan (if word). note: we could store pointer inside adj since it and trie are @ fixed addrs. less pointer arith, more space. ItemP from; //backpointer - 0 for L -> . asdf for the rest; L -> a .sdf, it's the L -> .asdf item. ItemP predicted_from() const { @@ -518,6 +547,7 @@ struct Item : ItemPrio,ItemKey { template<class O> void print(O &o) const { o<< '['; + o<<this<<": "; ItemKey::print(o); o<<' '; ItemPrio::print(o); @@ -561,25 +591,53 @@ struct Chart { PrefixTrie trie; typedef Agenda<Item,BetterP,GetItemKey> A; A a; - void best_first(unsigned kbest=1) { + + /* had to stop working on this for now - it's garbage/useless in this form - see NOTES.earley */ + + // p_partial is priority*p(rule) - excluding the FSA model score, and predicted + void succ(Item const& from,int adji,best_t p_partial) { + PrefixTrieEdge const& te=from.dot->adj[adji]; + NodeP dest=te.dest; + if (te.is_final()) { + // complete + return; + } + WordID w=te.w; + if (w<0) { + NTHandle lhs=-w; + } else { + + } + } + + void extend1() { BetterP better; - assert(kbest==1); //TODO: k-best via best-first requires revisiting best things again and adjusting desc. tricky. - while(!a.empty()) { - ItemP top=a.pop(); - best_t b=a.best(); // remember; best_t a<b means a better than (higher prob) than b - best_t topb=top->priority; - best_t trie_stop_p=topb/b; - NodeP d=top->dot; - PrefixTrieNode::Adj const& adj=d->adj; - int n=top->trienext; - for (int m=adj.size();n<m;++n) { // cube corner - PrefixTrieEdge const& te=adj[m]; - if (better(te.p,trie_stop_p)) { - SHOWM2(DFSA,"trying adj ",m,te) + Item &t=*a.top(); + best_t tp=t.priority; + if (t.is_trie_adj()) { + best_t pstop=a.second_best(); // remember; best_t a<b means a better than (higher prob) than b +// NodeP d=t.dot; + PrefixTrieNode::Adj const& adj=t.dot->adj; + int n=t.trienext,m=adj.size(); + SHOWM3(DFSA,"popped",t,tp,pstop); + for (;n<m;++n) { // cube corner + PrefixTrieEdge const& te=adj[n]; + SHOWM3(DFSA,"maybe try trie next",n,te.p,pstop); + if (better(te.p,pstop)) { // can get some improvement + SHOWM2(DFSA,"trying adj ",m,te); } else { - break; + goto done; } } + a.pop(); + done:; + } + } + + void best_first(unsigned kbest=1) { + assert(kbest==1); //TODO: k-best via best-first requires revisiting best things again and adjusting desc. tricky. + while(!a.empty()) { + extend1(); } } @@ -588,7 +646,9 @@ struct Chart { assert(fsa.state_bytes()); print_fsa=&fsa; goal_nt=cfg.goal_nt; - a.add(a.construct(trie.lhs2_ex(goal_nt),fsa.start)); + best_t prio=init_1(); + SHOW1(DFSA,prio); + a.add(a.construct(fsa.start,trie.lhs2_ex(goal_nt),prio)); } }; @@ -654,6 +714,7 @@ void ApplyFsa<F>::ApplyEarley() Chart<F> chart(cfg,smeta,fsa); // don't need to uniq - option to do that already exists in cfg_options //TODO: + chart.best_first(); *oh=hgcfg.ih; } |