KenLM update. EnumerateVocab moved up a namespace. Fix trie building when bigrams are pruned. Make Chris feel better about MurmurHashNative.

19 files changed, 208 insertions, 240 deletions

diff --git a/BUILDING b/BUILDING
index b7535d70..c7b954c7 100644
--- a/BUILDING
+++ b/BUILDING
@@ -33,7 +33,7 @@ Instructions for building
     If you're building on cygwin, their libtool is buggy; this make command
     works for now:
 
-        make LIBS+="-loolm -ldstruct -lmisc -lz -lboost_program_options" \
+        make LIBS+="-lz -lboost_program_options" \
              CFLAGS+="-Wno-sign-compare"
 
  5) Test
diff --git a/decoder/ff_csplit.cc b/decoder/ff_csplit.cc
index dee6f4f9..3991d38f 100644
--- a/decoder/ff_csplit.cc
+++ b/decoder/ff_csplit.cc
@@ -155,7 +155,7 @@ void BasicCSplitFeatures::TraversalFeaturesImpl(
 }
 
 namespace {
-struct CSVMapper : public lm::ngram::EnumerateVocab {
+struct CSVMapper : public lm::EnumerateVocab {
   CSVMapper(vector<lm::WordIndex>* out) : out_(out), kLM_UNKNOWN_TOKEN(0) { out_->clear(); }
   void Add(lm::WordIndex index, const StringPiece &str) {
     const WordID cdec_id = TD::Convert(str.as_string());
diff --git a/decoder/ff_klm.cc b/decoder/ff_klm.cc
index ed6f731e..a4b26f7c 100644
--- a/decoder/ff_klm.cc
+++ b/decoder/ff_klm.cc
@@ -70,7 +70,7 @@ string KLanguageModel<Model>::usage(bool /*param*/,bool /*verbose*/) {
 
 namespace {
 
-struct VMapper : public lm::ngram::EnumerateVocab {
+struct VMapper : public lm::EnumerateVocab {
   VMapper(vector<lm::WordIndex>* out) : out_(out), kLM_UNKNOWN_TOKEN(0) { out_->clear(); }
   void Add(lm::WordIndex index, const StringPiece &str) {
     const WordID cdec_id = TD::Convert(str.as_string());
diff --git a/klm/lm/config.hh b/klm/lm/config.hh
index 227b8512..8564661b 100644
--- a/klm/lm/config.hh
+++ b/klm/lm/config.hh
@@ -8,10 +8,12 @@
 
 /* Configuration for ngram model.  Separate header to reduce pollution. */
 
-namespace lm { namespace ngram {
-
+namespace lm {
+  
 class EnumerateVocab;
 
+namespace ngram {
+
 struct Config {
   // EFFECTIVE FOR BOTH ARPA AND BINARY READS 
 
diff --git a/klm/lm/enumerate_vocab.hh b/klm/lm/enumerate_vocab.hh
index e734316b..27263621 100644
--- a/klm/lm/enumerate_vocab.hh
+++ b/klm/lm/enumerate_vocab.hh
@@ -5,7 +5,6 @@
 #include "util/string_piece.hh"
 
 namespace lm {
-namespace ngram {
 
 /* If you need the actual strings in the vocabulary, inherit from this class
  * and implement Add.  Then put a pointer in Config.enumerate_vocab; it does
@@ -23,7 +22,6 @@ class EnumerateVocab {
     EnumerateVocab() {}
 };
 
-} // namespace ngram
 } // namespace lm
 
 #endif // LM_ENUMERATE_VOCAB__
diff --git a/klm/lm/left.hh b/klm/lm/left.hh
index bb3f5539..15464c82 100644
--- a/klm/lm/left.hh
+++ b/klm/lm/left.hh
@@ -176,16 +176,18 @@ template <class M> class RuleScore {
       float backoffs[kMaxOrder - 1], backoffs2[kMaxOrder - 1];
       float *back = backoffs, *back2 = backoffs2;
       unsigned char next_use;
-      FullScoreReturn ret;
-      ProcessRet(ret = model_.ExtendLeft(out_.right.words, out_.right.words + out_.right.length, out_.right.backoff, in.left.pointers[0], 1, back, next_use));
+
+      // First word
+      ProcessRet(model_.ExtendLeft(out_.right.words, out_.right.words + out_.right.length, out_.right.backoff, in.left.pointers[0], 1, back, next_use));
       if (!next_use) {
         left_done_ = true;
         out_.right = in.right;
         return;
       }
+      // Words after the first, so extending a bigram to begin with
       unsigned char extend_length = 2;
       for (const uint64_t *i = in.left.pointers + 1; i < in.left.pointers + in.left.length; ++i, ++extend_length) {
-        ProcessRet(ret = model_.ExtendLeft(out_.right.words, out_.right.words + next_use, back, *i, extend_length, back2, next_use));
+        ProcessRet(model_.ExtendLeft(out_.right.words, out_.right.words + next_use, back, *i, extend_length, back2, next_use));
         if (!next_use) {
           left_done_ = true;
           out_.right = in.right;
diff --git a/klm/lm/model.cc b/klm/lm/model.cc
index 25f1ab7c..e4c1ec1d 100644
--- a/klm/lm/model.cc
+++ b/klm/lm/model.cc
@@ -91,8 +91,8 @@ template <class Search, class VocabularyT> void GenericModel<Search, VocabularyT
 
 template <class Search, class VocabularyT> FullScoreReturn GenericModel<Search, VocabularyT>::FullScore(const State &in_state, const WordIndex new_word, State &out_state) const {
   FullScoreReturn ret = ScoreExceptBackoff(in_state.words, in_state.words + in_state.length, new_word, out_state);
-  if (ret.ngram_length - 1 < in_state.length) {
-    ret.prob = std::accumulate(in_state.backoff + ret.ngram_length - 1, in_state.backoff + in_state.length, ret.prob);
+  for (const float *i = in_state.backoff + ret.ngram_length - 1; i < in_state.backoff + in_state.length; ++i) {
+    ret.prob += *i;
   }
   return ret;
 }
diff --git a/klm/lm/read_arpa.cc b/klm/lm/read_arpa.cc
index 455bc4ba..dce73f77 100644
--- a/klm/lm/read_arpa.cc
+++ b/klm/lm/read_arpa.cc
@@ -38,6 +38,8 @@ void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number) {
     }
     if (static_cast<size_t>(line.size()) >= strlen(kBinaryMagic) && StringPiece(line.data(), strlen(kBinaryMagic)) == kBinaryMagic) 
       UTIL_THROW(FormatLoadException, "This looks like a binary file but got sent to the ARPA parser.  Did you compress the binary file or pass a binary file where only ARPA files are accepted?");
+    UTIL_THROW_IF(line.size() >= 4 && StringPiece(line.data(), 4) == "blmt", FormatLoadException, "This looks like an IRSTLM binary file.  Did you forget to pass --text yes to compile-lm?");
+    UTIL_THROW_IF(line == "iARPA", FormatLoadException, "This looks like an IRSTLM iARPA file.  You need an ARPA file.  Run\n  compile-lm --text yes " << in.FileName() << " " << in.FileName() << ".arpa\nfirst.");
     UTIL_THROW(FormatLoadException, "first non-empty line was \"" << line << "\" not \\data\\.");
   }
   while (!IsEntirelyWhiteSpace(line = in.ReadLine())) {
diff --git a/klm/lm/search_hashed.cc b/klm/lm/search_hashed.cc
index 334adf12..247832b0 100644
--- a/klm/lm/search_hashed.cc
+++ b/klm/lm/search_hashed.cc
@@ -87,14 +87,14 @@ template <class Voc, class Store, class Middle, class Activate> void ReadNGrams(
   ReadNGramHeader(f, n);
 
   // vocab ids of words in reverse order
-  WordIndex vocab_ids[n];
-  uint64_t keys[n - 1];
+  std::vector<WordIndex> vocab_ids(n);
+  std::vector<uint64_t> keys(n-1);
   typename Store::Packing::Value value;
   typename Middle::MutableIterator found;
   for (size_t i = 0; i < count; ++i) {
-    ReadNGram(f, n, vocab, vocab_ids, value, warn);
+    ReadNGram(f, n, vocab, &*vocab_ids.begin(), value, warn);
 
-    keys[0] = detail::CombineWordHash(static_cast<uint64_t>(*vocab_ids), vocab_ids[1]);
+    keys[0] = detail::CombineWordHash(static_cast<uint64_t>(vocab_ids.front()), vocab_ids[1]);
     for (unsigned int h = 1; h < n - 1; ++h) {
       keys[h] = detail::CombineWordHash(keys[h-1], vocab_ids[h+1]);
     }
@@ -106,9 +106,9 @@ template <class Voc, class Store, class Middle, class Activate> void ReadNGrams(
     util::FloatEnc fix_prob;
     for (lower = n - 3; ; --lower) {
       if (lower == -1) {
-        fix_prob.f = unigrams[vocab_ids[0]].prob;
+        fix_prob.f = unigrams[vocab_ids.front()].prob;
         fix_prob.i &= ~util::kSignBit;
-        unigrams[vocab_ids[0]].prob = fix_prob.f;
+        unigrams[vocab_ids.front()].prob = fix_prob.f;
         break;
       }
       if (middle[lower].UnsafeMutableFind(keys[lower], found)) {
@@ -120,8 +120,8 @@ template <class Voc, class Store, class Middle, class Activate> void ReadNGrams(
         break;
       }
     }
-    if (lower != static_cast<int>(n) - 3) FixSRI(lower, fix_prob.f, n, keys, vocab_ids, unigrams, middle);
-    activate(vocab_ids, n);
+    if (lower != static_cast<int>(n) - 3) FixSRI(lower, fix_prob.f, n, &*keys.begin(), &*vocab_ids.begin(), unigrams, middle);
+    activate(&*vocab_ids.begin(), n);
   }
 
   store.FinishedInserting();
diff --git a/klm/lm/search_trie.cc b/klm/lm/search_trie.cc
index 5d8c70db..e3cf9547 100644
--- a/klm/lm/search_trie.cc
+++ b/klm/lm/search_trie.cc
@@ -493,7 +493,7 @@ template <class Quant, class Bhiksha> void BuildTrie(const std::string &file_pre
   util::scoped_FILE unigram_file;
   {
     std::string name(file_prefix + "unigrams");
-    unigram_file.reset(OpenOrThrow(name.c_str(), "r"));
+    unigram_file.reset(OpenOrThrow(name.c_str(), "r+"));
     util::RemoveOrThrow(name.c_str());
   }
   sri.ObtainBackoffs(counts.size(), unigram_file.get(), inputs);
diff --git a/klm/lm/sri.cc b/klm/lm/sri.cc
deleted file mode 100644
index 825f699b..00000000
--- a/klm/lm/sri.cc
+++ /dev/null
@@ -1,108 +0,0 @@
-#include "lm/lm_exception.hh"
-#include "lm/sri.hh"
-
-#include <Ngram.h>
-#include <Vocab.h>
-
-#include <errno.h>
-
-namespace lm {
-namespace sri {
-
-Vocabulary::Vocabulary() : sri_(new Vocab) {}
-
-Vocabulary::~Vocabulary() {}
-
-WordIndex Vocabulary::Index(const char *str) const {
-  WordIndex ret = sri_->getIndex(str);
-  // NGram wants the index of Vocab_Unknown for unknown words, but for some reason SRI returns Vocab_None here :-(.
-  if (ret == Vocab_None) {
-    return not_found_;
-  } else {
-    return ret;
-  }
-}
-
-const char *Vocabulary::Word(WordIndex index) const {
-  return sri_->getWord(index);
-}
-
-void Vocabulary::FinishedLoading() {
-  SetSpecial(
-    sri_->ssIndex(),
-    sri_->seIndex(),
-    sri_->unkIndex());
-}
-
-namespace {
-Ngram *MakeSRIModel(const char *file_name, unsigned int ngram_length, Vocab &sri_vocab) {
-  sri_vocab.unkIsWord() = true;
-  std::auto_ptr<Ngram> ret(new Ngram(sri_vocab, ngram_length));
-  File file(file_name, "r");
-  errno = 0;
-  if (!ret->read(file)) {
-    UTIL_THROW(FormatLoadException, "reading file " << file_name << " with SRI failed.");
-  }
-  return ret.release();
-}
-} // namespace
-
-Model::Model(const char *file_name, unsigned int ngram_length) : sri_(MakeSRIModel(file_name, ngram_length, *vocab_.sri_)) {
-  if (!sri_->setorder()) {
-    UTIL_THROW(FormatLoadException, "Can't have an SRI model with order 0.");
-  }
-  vocab_.FinishedLoading();
-  State begin_state = State();
-  begin_state.valid_length_ = 1;
-  if (kMaxOrder > 1) {
-    begin_state.history_[0] = vocab_.BeginSentence();
-    if (kMaxOrder > 2) begin_state.history_[1] = Vocab_None;
-  }
-  State null_state = State();
-  null_state.valid_length_ = 0;
-  if (kMaxOrder > 1) null_state.history_[0] = Vocab_None;
-  Init(begin_state, null_state, vocab_, sri_->setorder());
-  not_found_ = vocab_.NotFound();
-}
-
-Model::~Model() {}
-
-namespace {
-
-/* Argh SRI's wordProb knows the ngram length but doesn't return it.  One more
- * reason you should use my model.  */
-// TODO(stolcke): fix SRILM so I don't have to do this.   
-unsigned int MatchedLength(Ngram &model, const WordIndex new_word, const SRIVocabIndex *const_history) {
-  unsigned int out_length = 0;
-  // This gets the length of context used, which is ngram_length - 1 unless new_word is OOV in which case it is 0.
-  model.contextID(new_word, const_history, out_length);
-  return out_length + 1;
-}
-
-} // namespace
-
-FullScoreReturn Model::FullScore(const State &in_state, const WordIndex new_word, State &out_state) const {
-  // If you get a compiler in this function, change SRIVocabIndex in sri.hh to match the one found in SRI's Vocab.h.
-  const SRIVocabIndex *const_history;
-  SRIVocabIndex local_history[Order()];
-  if (in_state.valid_length_ < kMaxOrder - 1) {
-    const_history = in_state.history_;
-  } else {
-    std::copy(in_state.history_, in_state.history_ + in_state.valid_length_, local_history);
-    local_history[in_state.valid_length_] = Vocab_None;
-    const_history = local_history;
-  }
-  FullScoreReturn ret;
-  ret.ngram_length = MatchedLength(*sri_, new_word, const_history);
-  out_state.history_[0] = new_word;
-  out_state.valid_length_ = std::min<unsigned char>(ret.ngram_length, Order() - 1);
-  std::copy(const_history, const_history + out_state.valid_length_ - 1, out_state.history_ + 1);
-  if (out_state.valid_length_ < kMaxOrder - 1) {
-    out_state.history_[out_state.valid_length_] = Vocab_None;
-  }
-  ret.prob = sri_->wordProb(new_word, const_history);
-  return ret;
-}
-
-} // namespace sri
-} // namespace lm
diff --git a/klm/lm/sri.hh b/klm/lm/sri.hh
deleted file mode 100644
index b57e9b73..00000000
--- a/klm/lm/sri.hh
+++ /dev/null
@@ -1,102 +0,0 @@
-#ifndef LM_SRI__
-#define LM_SRI__
-
-#include "lm/facade.hh"
-#include "util/murmur_hash.hh"
-
-#include <cmath>
-#include <exception>
-#include <memory>
-
-class Ngram;
-class Vocab;
-
-/* The ngram length reported uses some random API I found and may be wrong.
- *
- * See ngram, which should return equivalent results.
- */
-
-namespace lm {
-namespace sri {
-
-static const unsigned int kMaxOrder = 6;
-
-/* This should match VocabIndex found in SRI's Vocab.h
- * The reason I define this here independently is that SRI's headers
- * pollute and increase compile time.
- * It's difficult to extract this from their header and anyway would
- * break packaging.
- * If these differ there will be a compiler error in ActuallyCall.
- */
-typedef unsigned int SRIVocabIndex;
-
-class State {
-  public:
-    // You shouldn't need to touch these, but they're public so State will be a POD.
-    // If valid_length_ < kMaxOrder - 1 then history_[valid_length_] == Vocab_None.
-    SRIVocabIndex history_[kMaxOrder - 1];
-    unsigned char valid_length_;
-};
-
-inline bool operator==(const State &left, const State &right) {
-  if (left.valid_length_ != right.valid_length_) {
-    return false;
-  }
-  for (const SRIVocabIndex *l = left.history_, *r = right.history_;
-      l != left.history_ + left.valid_length_;
-      ++l, ++r) {
-    if (*l != *r) return false;
-  }
-  return true;
-}
-
-inline size_t hash_value(const State &state) {
-  return util::MurmurHashNative(&state.history_, sizeof(SRIVocabIndex) * state.valid_length_);
-}
-
-class Vocabulary : public base::Vocabulary {
-  public:
-    Vocabulary();
-
-    ~Vocabulary();
-
-    WordIndex Index(const StringPiece &str) const {
-      std::string temp(str.data(), str.length());
-      return Index(temp.c_str());
-    }
-    WordIndex Index(const std::string &str) const {
-      return Index(str.c_str());
-    }
-    WordIndex Index(const char *str) const;
-
-    const char *Word(WordIndex index) const;
-
-  private:
-    friend class Model;
-    void FinishedLoading();
-
-    // The parent class isn't copyable so auto_ptr is the same as scoped_ptr
-    // but without the boost dependence.  
-    mutable std::auto_ptr<Vocab> sri_;
-};
-
-class Model : public base::ModelFacade<Model, State, Vocabulary> {
-  public:
-    Model(const char *file_name, unsigned int ngram_length);
-
-    ~Model();
-
-    FullScoreReturn FullScore(const State &in_state, const WordIndex new_word, State &out_state) const;
-
-  private:
-    Vocabulary vocab_;
-
-    mutable std::auto_ptr<Ngram> sri_;
-
-    WordIndex not_found_;
-};
-
-} // namespace sri
-} // namespace lm
-
-#endif // LM_SRI__
diff --git a/klm/lm/vocab.hh b/klm/lm/vocab.hh
index 41e97052..4cf68196 100644
--- a/klm/lm/vocab.hh
+++ b/klm/lm/vocab.hh
@@ -15,10 +15,10 @@
 
 namespace lm {
 class ProbBackoff;
+class EnumerateVocab;
 
 namespace ngram {
 class Config;
-class EnumerateVocab;
 
 namespace detail {
 uint64_t HashForVocab(const char *str, std::size_t len);
diff --git a/klm/util/mmap.cc b/klm/util/mmap.cc
index 5ce7adc9..279bafa8 100644
--- a/klm/util/mmap.cc
+++ b/klm/util/mmap.cc
@@ -15,7 +15,7 @@ namespace util {
 
 scoped_mmap::~scoped_mmap() {
   if (data_ != (void*)-1) {
-    // Thanks Denis Filimonov for pointing on NFS likes msync first.  
+    // Thanks Denis Filimonov for pointing out NFS likes msync first.  
     if (msync(data_, size_, MS_SYNC) || munmap(data_, size_)) {
       std::cerr << "msync or mmap failed for " << size_ << " bytes." << std::endl;
       abort();
diff --git a/klm/util/murmur_hash.cc b/klm/util/murmur_hash.cc
index fec47fd9..ef5783fe 100644
--- a/klm/util/murmur_hash.cc
+++ b/klm/util/murmur_hash.cc
@@ -117,13 +117,18 @@ uint64_t MurmurHash64B ( const void * key, std::size_t len, unsigned int seed )
 
   return h;
 }
+// Trick to test for 64-bit architecture at compile time.  
+namespace {
+template <unsigned L> uint64_t MurmurHashNativeBackend(const void * key, std::size_t len, unsigned int seed) {
+  return MurmurHash64A(key, len, seed);
+}
+template <> uint64_t MurmurHashNativeBackend<4>(const void * key, std::size_t len, unsigned int seed) {
+  return MurmurHash64B(key, len, seed);
+}
+} // namespace
 
 uint64_t MurmurHashNative(const void * key, std::size_t len, unsigned int seed) {
-  if (sizeof(int) == 4) {
-    return MurmurHash64B(key, len, seed);
-  } else {
-    return MurmurHash64A(key, len, seed);
-  }
+  return MurmurHashNativeBackend<sizeof(void*)>(key, len, seed);
 }
 
 } // namespace util
diff --git a/klm/util/tokenize_piece.hh b/klm/util/tokenize_piece.hh
index ee1c7ab2..413bda0b 100644
--- a/klm/util/tokenize_piece.hh
+++ b/klm/util/tokenize_piece.hh
@@ -5,6 +5,9 @@
 
 #include <boost/iterator/iterator_facade.hpp>
 
+#include <algorithm>
+#include <iostream>
+
 /* Usage:
  *
  * for (PieceIterator<' '> i(" foo \r\n bar "); i; ++i) {
@@ -64,6 +67,78 @@ template <char d> class PieceIterator : public boost::iterator_facade<PieceItera
     StringPiece after_;
 };
 
+class MultiCharacter {
+  public:
+    explicit MultiCharacter(const StringPiece &delimiter) : delimiter_(delimiter) {}
+
+    StringPiece Find(const StringPiece &in) const {
+      return StringPiece(std::search(in.data(), in.data() + in.size(), delimiter_.data(), delimiter_.data() + delimiter_.size()), delimiter_.size());
+    }
+
+  private:
+    StringPiece delimiter_;
+};
+
+class AnyCharacter {
+  public:
+    explicit AnyCharacter(const StringPiece &chars) : chars_(chars) {}
+
+    StringPiece Find(const StringPiece &in) const {
+      return StringPiece(std::find_first_of(in.data(), in.data() + in.size(), chars_.data(), chars_.data() + chars_.size()), 1);
+    }
+
+  private:
+    StringPiece chars_;
+};
+
+template <class Find, bool SkipEmpty = false> class TokenIter : public boost::iterator_facade<TokenIter<Find, SkipEmpty>, const StringPiece, boost::forward_traversal_tag> {
+  public:
+    TokenIter() {}
+
+    TokenIter(const StringPiece &str, const Find &finder) : after_(str), finder_(finder) {
+      increment();
+    }
+
+    bool operator!() const {
+      return current_.data() == 0;
+    }
+    operator bool() const {
+      return current_.data() != 0;
+    }
+
+    static TokenIter<Find> end() {
+      return TokenIter<Find>();
+    }
+
+  private:
+    friend class boost::iterator_core_access;
+
+    void increment() {
+      do {
+        StringPiece found(finder_.Find(after_));
+        current_ = StringPiece(after_.data(), found.data() - after_.data());
+        if (found.data() == after_.data() + after_.size()) {
+          after_ = StringPiece(NULL, 0);
+        } else {
+          after_ = StringPiece(found.data() + found.size(), after_.data() - found.data() + after_.size() - found.size());
+        }
+      } while (SkipEmpty && current_.data() && current_.empty()); // Compiler should optimize this away if SkipEmpty is false.  
+    }
+
+    bool equal(const TokenIter<Find> &other) const {
+      return after_.data() == other.after_.data();
+    }
+
+    const StringPiece &dereference() const {
+      return current_;
+    }
+
+    StringPiece current_;
+    StringPiece after_;
+
+    Find finder_;
+};
+
 } // namespace util
 
 #endif // UTIL_TOKENIZE_PIECE__
diff --git a/klm/util/tokenize_piece_test.cc b/klm/util/tokenize_piece_test.cc
new file mode 100644
index 00000000..e07ebcf5
--- /dev/null
+++ b/klm/util/tokenize_piece_test.cc
@@ -0,0 +1,94 @@
+#include "util/tokenize_piece.hh"
+#include "util/string_piece.hh"
+
+#define BOOST_TEST_MODULE TokenIteratorTest
+#include <boost/test/unit_test.hpp>
+
+#include <iostream>
+
+namespace util {
+namespace {
+
+BOOST_AUTO_TEST_CASE(simple) {
+  PieceIterator<' '> it("single spaced words.");
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("single"), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("spaced"), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("words."), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+
+BOOST_AUTO_TEST_CASE(null_delimiter) {
+  const char str[] = "\0first\0\0second\0\0\0third\0fourth\0\0\0";
+  PieceIterator<'\0'> it(StringPiece(str, sizeof(str) - 1));
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("first"), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("second"), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("third"), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece("fourth"), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+
+BOOST_AUTO_TEST_CASE(null_entries) {
+  const char str[] = "\0split\0\0 \0me\0 ";
+  PieceIterator<' '> it(StringPiece(str, sizeof(str) - 1));
+  BOOST_REQUIRE(it);
+  const char first[] = "\0split\0\0";
+  BOOST_CHECK_EQUAL(StringPiece(first, sizeof(first) - 1), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  const char second[] = "\0me\0";
+  BOOST_CHECK_EQUAL(StringPiece(second, sizeof(second) - 1), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+
+/*BOOST_AUTO_TEST_CASE(pipe_pipe_none) {
+  const char str[] = "nodelimit at all";
+  TokenIter<MultiCharacter> it(str, MultiCharacter("|||"));
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece(str), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+BOOST_AUTO_TEST_CASE(pipe_pipe_two) {
+  const char str[] = "|||";
+  TokenIter<MultiCharacter> it(str, MultiCharacter("|||"));
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece(), *it);
+  ++it;
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece(), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+
+BOOST_AUTO_TEST_CASE(remove_empty) {
+  const char str[] = "|||";
+  TokenIter<MultiCharacter, true> it(str, MultiCharacter("|||"));
+  BOOST_CHECK(!it);
+}*/
+
+BOOST_AUTO_TEST_CASE(remove_empty_keep) {
+  const char str[] = " |||";
+  TokenIter<MultiCharacter, true> it(str, MultiCharacter("|||"));
+  BOOST_REQUIRE(it);
+  BOOST_CHECK_EQUAL(StringPiece(" "), *it);
+  ++it;
+  BOOST_CHECK(!it);
+}
+
+} // namespace
+} // namespace util
diff --git a/training/augment_grammar.cc b/training/augment_grammar.cc
index e89a92d5..1e5af9a1 100644
--- a/training/augment_grammar.cc
+++ b/training/augment_grammar.cc
@@ -18,7 +18,7 @@ using namespace std;
 
 vector<lm::WordIndex> word_map;
 lm::ngram::ProbingModel* ngram;
-struct VMapper : public lm::ngram::EnumerateVocab {
+struct VMapper : public lm::EnumerateVocab {
   VMapper(vector<lm::WordIndex>* out) : out_(out), kLM_UNKNOWN_TOKEN(0) { out_->clear(); }
   void Add(lm::WordIndex index, const StringPiece &str) {
     const WordID cdec_id = TD::Convert(str.as_string());
diff --git a/training/test_ngram.cc b/training/test_ngram.cc
index c481b564..4597cc01 100644
--- a/training/test_ngram.cc
+++ b/training/test_ngram.cc
@@ -12,7 +12,7 @@ namespace po = boost::program_options;
 using namespace std;
 
 lm::ngram::ProbingModel* ngram;
-struct GetVocab : public lm::ngram::EnumerateVocab {
+struct GetVocab : public lm::EnumerateVocab {
   GetVocab(vector<lm::WordIndex>* out) : out_(out) { }
   void Add(lm::WordIndex index, const StringPiece &str) {
     out_->push_back(index);