From 736034a4f0436da6a98c94f83f54ec6de2ec25c6 Mon Sep 17 00:00:00 2001 From: Wolf Garbe Date: Wed, 11 Sep 2019 17:29:24 +0200 Subject: [PATCH] New release v6.5 1. Better SymSpell.LookupCompound correction quality with existing single term dictionary by using Naive Bayes probability for selecting best word splitting. 2. Even better SymSpell.LookupCompound correction quality, when using the optional bigram dictionary in order to use sentence level context information for selecting best spelling correction. 3. English bigram frequency dictionary included --- README.md | 20 +- .../SymSpell.CommandLine.deps.json | 8 +- .../netcoreapp2.0/SymSpell.CommandLine.dll | Bin 9728 -> 9728 bytes .../netcoreapp2.0/SymSpell.CommandLine.pdb | Bin 1416 -> 1504 bytes ...ymSpell.CommandLine.runtimeconfig.dev.json | 4 +- .../bin/Release/netcoreapp2.0/SymSpell.dll | Bin 22016 -> 22528 bytes .../bin/Release/netcoreapp2.0/SymSpell.pdb | Bin 9936 -> 69120 bytes .../SymSpell.CompoundDemo.cs | 3 + SymSpell/SymSpell.cs | 154 +- SymSpell/SymSpell.csproj | 8 +- .../frequency_bigramdictionary_en_243_342.txt | 242342 +++++++++++++++ 11 files changed, 242500 insertions(+), 39 deletions(-) create mode 100644 SymSpell/frequency_bigramdictionary_en_243_342.txt diff --git a/README.md b/README.md index a371b56..326c759 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ but SymSpell needs to generate **only 25 deletes** to cover them all, both at pr ``` Copyright (c) 2019 Wolf Garbe -Version: 6.4 +Version: 6.5 Author: Wolf Garbe Maintainer: Wolf Garbe URL: https://github.com/wolfgarbe/symspell @@ -214,6 +214,18 @@ foreach (var suggestion in suggestions) } +//load bigram dictionary +string dictionaryPath= baseDirectory + "../../../../SymSpell/frequency_bigramdictionary_en_243_342.txt"; +int termIndex = 0; //column of the term in the dictionary text file +int countIndex = 2; //column of the term frequency in the dictionary text file +if (!symSpell.LoadBigramDictionary(dictionaryPath, termIndex, countIndex)) +{ + Console.WriteLine("File not found!"); + //press any key to exit program + Console.ReadKey(); + return; +} + //lookup suggestions for multi-word input strings (supports compound splitting & merging) inputTerm="whereis th elove hehad dated forImuch of thepast who couqdn'tread in sixtgrade and ins pired him"; maxEditDistanceLookup = 2; //max edit distance per lookup (per single word, not per whole input string) @@ -348,6 +360,12 @@ https://github.com/Archivus/SymSpell 2. Option to preserve case (upper/lower case) of input term. 3. Open source the code for creating custom frequency dictionaries in any language and size as intersection between Google Books Ngram data (Provides representative word frequencies) and SCOWL Spell Checker Oriented Word Lists (Ensures genuine English vocabulary). +#### Changes in v6.5 + +1. IMPROVEMENT: Better SymSpell.LookupCompound correction quality with existing single term dictionary by using Naive Bayes probability for selecting best word splitting.
+2. IMPROVEMENT: Even better SymSpell.LookupCompound correction quality, when using the optional bigram dictionary in order to use sentence level context information for selecting best spelling correction.
+3. IMPROVEMENT: English bigram frequency dictionary included + #### Changes in v6.4 1. LoadDictioary(Stream, ...) and CreateDictionary(Stream) methods added (contibution by [ccady](https://github.com/ccady))
diff --git a/SymSpell.CommandLine/bin/Release/netcoreapp2.0/SymSpell.CommandLine.deps.json b/SymSpell.CommandLine/bin/Release/netcoreapp2.0/SymSpell.CommandLine.deps.json index f91a8e8..7dc6150 100644 --- a/SymSpell.CommandLine/bin/Release/netcoreapp2.0/SymSpell.CommandLine.deps.json +++ b/SymSpell.CommandLine/bin/Release/netcoreapp2.0/SymSpell.CommandLine.deps.json @@ -1,20 +1,20 @@ { "runtimeTarget": { "name": ".NETCoreApp,Version=v2.0", - "signature": "da39a3ee5e6b4b0d3255bfef95601890afd80709" + "signature": "" }, "compilationOptions": {}, "targets": { ".NETCoreApp,Version=v2.0": { "SymSpell.CommandLine/1.0.0": { "dependencies": { - "SymSpell": "6.3.0" + "SymSpell": "6.5.0" }, "runtime": { "SymSpell.CommandLine.dll": {} } }, - "SymSpell/6.3.0": { + "SymSpell/6.5.0": { "runtime": { "SymSpell.dll": {} } @@ -27,7 +27,7 @@ "serviceable": false, "sha512": "" }, - "SymSpell/6.3.0": { + "SymSpell/6.5.0": { "type": "project", "serviceable": false, "sha512": "" diff --git 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zwTaT*sdK6E%;{_@J$|EP@2lSOz`wjZwf0kI{`&c^Kb4%n@f{y{;*pn)WDAP%Pm0ox z<(SjuYY_G7o+N>XZTHq1StGkmLTJ?MQrmL<-i;%9L-?6Tdjtc!QX;5>Jg!w-gg;;DKNl+}x&PvktY7O#b zr%kLkj+xuq`^~N6oHzG`k~qMSc!k2jL3t4egtd`(sA*Fr+S(iW+}XDA#> z=7txs-9~tL#Fg#N`3fzp`F}lH2vNGnbhbHqU@aY&^8>B6ma8~Tc8+b1c@9MwhZg4Z zz~i%r7^yfHHQPCzI_F?UTD&LeC~zz0=_c8fUmSHL*I_Mub}RFt@5$!^%8S| zY|~FozK1I0Zq@Nf7k^un6~ZWui^l09P3lCu*&>J^x}!N GBL5A`Vzm(f diff --git a/SymSpell.CompoundDemo/SymSpell.CompoundDemo.cs b/SymSpell.CompoundDemo/SymSpell.CompoundDemo.cs index 2f6c734..21d2396 100644 --- a/SymSpell.CompoundDemo/SymSpell.CompoundDemo.cs +++ b/SymSpell.CompoundDemo/SymSpell.CompoundDemo.cs @@ -35,6 +35,9 @@ public static void Main(string[] args) //string path = "../../frequency_dictionary_en_82_765.txt"; //path when using symspell nuget package (frequency_dictionary_en_82_765.txt is included in nuget package) if (!symSpell.LoadDictionary(path, 0, 1)) { Console.Error.WriteLine("\rFile not found: " + Path.GetFullPath(path)); Console.ReadKey();return; } + string pathBigram = AppDomain.CurrentDomain.BaseDirectory + "frequency_bigramdictionary_en_243_342.txt"; + if (!symSpell.LoadBigramDictionary(pathBigram, 0, 2)) { Console.Error.WriteLine("\rFile not found: " + Path.GetFullPath(pathBigram)); Console.ReadKey(); return; } + //Alternatively Create the dictionary from a text corpus (e.g. http://norvig.com/big.txt ) //Make sure the corpus does not contain spelling errors, invalid terms and the word frequency is representative to increase the precision of the spelling correction. //The dictionary may contain vocabulary from different languages. diff --git a/SymSpell/SymSpell.cs b/SymSpell/SymSpell.cs index 859306f..0f93b66 100644 --- a/SymSpell/SymSpell.cs +++ b/SymSpell/SymSpell.cs @@ -12,7 +12,7 @@ // 3. multiple independent input terms with/without spelling errors // Copyright (C) 2019 Wolf Garbe -// Version: 6.4 +// Version: 6.5 // Author: Wolf Garbe wolf.garbe@faroo.com // Maintainer: Wolf Garbe wolf.garbe@faroo.com // URL: https://github.com/wolfgarbe/symspell @@ -253,6 +253,60 @@ public bool CreateDictionaryEntry(string key, Int64 count, SuggestionStage stagi return true; } + public Dictionary bigrams = new Dictionary(); + public long bigramCountMin = long.MaxValue; + + /// Load multiple dictionary entries from a file of word/frequency count pairs + /// Merges with any dictionary data already loaded. + /// The path+filename of the file. + /// The column position of the word. + /// The column position of the frequency count. + /// True if file loaded, or false if file not found. + public bool LoadBigramDictionary(string corpus, int termIndex, int countIndex) + { + if (!File.Exists(corpus)) return false; + using (Stream corpusStream = File.OpenRead(corpus)) + { + return LoadBigrams(corpusStream, termIndex, countIndex); + } + } + + /// Load multiple dictionary entries from a file of word/frequency count pairs + /// Merges with any dictionary data already loaded. + /// The path+filename of the file. + /// The column position of the word. + /// The column position of the frequency count. + /// True if file loaded, or false if file not found. + public bool LoadBigrams(Stream corpusStream, int termIndex, int countIndex) + { + + using (StreamReader sr = new StreamReader(corpusStream, System.Text.Encoding.UTF8, false)) + { + String line; + + //process a single line at a time only for memory efficiency + while ((line = sr.ReadLine()) != null) + { + string[] lineParts = line.Split(null); + if (lineParts.Length >= 3) + { + string key = lineParts[termIndex] + " " + lineParts[termIndex + 1]; + //Int64 count; + if (Int64.TryParse(lineParts[countIndex], out Int64 count)) + { + //nur solche combis zulassen, die ich beide auch als einzelworte habe + //Console.WriteLine(key+" : "+ count.ToString()); + //count = count * 8;//8 + bigrams[key] = count; + if (count < bigramCountMin) bigramCountMin = count; + } + } + } + + } + return true; + } + /// Load multiple dictionary entries from a file of word/frequency count pairs /// Merges with any dictionary data already loaded. /// The path+filename of the file. @@ -798,7 +852,6 @@ public List LookupCompound(string input, int editDistanceMax) //parse input string into single terms string[] termList1 = ParseWords(input); - List suggestionsPreviousTerm; //suggestions for a single term List suggestions = new List(); //suggestions for a single term List suggestionParts = new List(); //1 line with separate parts var distanceComparer = new EditDistance(this.distanceAlgorithm); @@ -807,10 +860,8 @@ public List LookupCompound(string input, int editDistanceMax) bool lastCombi = false; for (int i = 0; i < termList1.Length; i++) { - suggestionsPreviousTerm = new List(suggestions.Count); for (int k = 0; k < suggestions.Count; k++) suggestionsPreviousTerm.Add(suggestions[k].ShallowCopy()); suggestions = Lookup(termList1[i], Verbosity.Top, editDistanceMax); - //combi check, always before split if ((i > 0) && !lastCombi) { @@ -823,17 +874,20 @@ public List LookupCompound(string input, int editDistanceMax) if (suggestions.Count > 0) { best2 = suggestions[0]; - } else { + //unknown word best2.term = termList1[i]; + //estimated edit distance best2.distance = editDistanceMax + 1; - best2.count = 0; + //estimated word occurrence probability P=10 / (N * 10^word length l) + best2.count = (long)((double)10 / Math.Pow((double)10, (double)best2.term.Length)); // 0; } - //if (suggestionsCombi[0].distance + 1 < DamerauLevenshteinDistance(termList1[i - 1] + " " + termList1[i], best1.term + " " + best2.term)) - int distance1 = distanceComparer.Compare(termList1[i - 1] + " " + termList1[i], best1.term + " " + best2.term, editDistanceMax); - if ((distance1>=0)&&(suggestionsCombi[0].distance + 1 < distance1)) + + //distance1=edit distance between 2 split terms und their best corrections : als comparative value for the combination + int distance1 = best1.distance + best2.distance; + if ((distance1 >= 0) && ((suggestionsCombi[0].distance + 1 < distance1) || ((suggestionsCombi[0].distance + 1 == distance1) && ((double)suggestionsCombi[0].count > (double)best1.count / (double)SymSpell.N * (double)best2.count)))) { suggestionsCombi[0].distance++; suggestionParts[suggestionParts.Count - 1] = suggestionsCombi[0]; @@ -853,14 +907,13 @@ public List LookupCompound(string input, int editDistanceMax) else { //if no perfect suggestion, split word into pairs - List suggestionsSplit = new List(); + SuggestItem suggestionSplitBest = null; - //add original term - if (suggestions.Count > 0) suggestionsSplit.Add(suggestions[0]); + //add original term + if (suggestions.Count > 0) suggestionSplitBest = suggestions[0]; if (termList1[i].Length > 1) { - for (int j = 1; j < termList1[i].Length; j++) { string part1 = termList1[i].Substring(0, j); @@ -869,36 +922,73 @@ public List LookupCompound(string input, int editDistanceMax) List suggestions1 = Lookup(part1, Verbosity.Top, editDistanceMax); if (suggestions1.Count > 0) { - if ((suggestions.Count > 0) && (suggestions[0].term == suggestions1[0].term)) break;//if split correction1 == einzelwort correction List suggestions2 = Lookup(part2, Verbosity.Top, editDistanceMax); if (suggestions2.Count > 0) { - if ((suggestions.Count > 0) && (suggestions[0].term == suggestions2[0].term)) break;//if split correction1 == einzelwort correction //select best suggestion for split pair suggestionSplit.term = suggestions1[0].term + " " + suggestions2[0].term; - int distance2 = distanceComparer.Compare(termList1[i], suggestions1[0].term + " " + suggestions2[0].term, editDistanceMax); + + int distance2 = distanceComparer.Compare(termList1[i], suggestionSplit.term, editDistanceMax); if (distance2 < 0) distance2 = editDistanceMax + 1; + + if (suggestionSplitBest != null) + { + if (distance2 > suggestionSplitBest.distance) continue; + if (distance2 < suggestionSplitBest.distance) suggestionSplitBest = null; + } + suggestionSplit.distance = distance2; - suggestionSplit.count = Math.Min(suggestions1[0].count, suggestions2[0].count); - suggestionsSplit.Add(suggestionSplit); + //if bigram exists in bigram dictionary + if (bigrams.TryGetValue(suggestionSplit.term, out long bigramCount)) + { + suggestionSplit.count = bigramCount; + + //increase count, if split.corrections are part of or identical to input + //single term correction exists + if (suggestions.Count > 0) + { + //alternatively remove the single term from suggestionsSplit, but then other splittings could win + if ((suggestions1[0].term + suggestions2[0].term == termList1[i])) + { + //make count bigger than count of single term correction + suggestionSplit.count = Math.Max(suggestionSplit.count, suggestions[0].count + 2); + } + else if ((suggestions1[0].term == suggestions[0].term) || (suggestions2[0].term == suggestions[0].term)) + { + //make count bigger than count of single term correction + suggestionSplit.count = Math.Max(suggestionSplit.count, suggestions[0].count + 1); + } + } + //no single term correction exists + else if ((suggestions1[0].term + suggestions2[0].term == termList1[i])) + { + suggestionSplit.count = Math.Max(suggestionSplit.count, Math.Max(suggestions1[0].count, suggestions2[0].count) + 2); + } + + } + else + { + //The Naive Bayes probability of the word combination is the product of the two word probabilities: P(AB) = P(A) * P(B) + //use it to estimate the frequency count of the combination, which then is used to rank/select the best splitting variant + suggestionSplit.count = Math.Min(bigramCountMin, (long)((double)suggestions1[0].count / (double)SymSpell.N * (double)suggestions2[0].count)); + } - //early termination of split - if (suggestionSplit.distance == 1) break; + if ((suggestionSplitBest == null) || (suggestionSplit.count > suggestionSplitBest.count)) suggestionSplitBest = suggestionSplit; } } } - if (suggestionsSplit.Count > 0) + if (suggestionSplitBest != null) { //select best suggestion for split pair - suggestionsSplit.Sort((x, y) => 2 * x.distance.CompareTo(y.distance) - x.count.CompareTo(y.count)); - suggestionParts.Add(suggestionsSplit[0]); + suggestionParts.Add(suggestionSplitBest); } else { SuggestItem si = new SuggestItem(); si.term = termList1[i]; - si.count = 0; + //estimated word occurrence probability P=10 / (N * 10^word length l) + si.count = (long)((double)10 / Math.Pow((double)10, (double)si.term.Length)); si.distance = editDistanceMax + 1; suggestionParts.Add(si); } @@ -907,18 +997,23 @@ public List LookupCompound(string input, int editDistanceMax) { SuggestItem si = new SuggestItem(); si.term = termList1[i]; - si.count = 0; + //estimated word occurrence probability P=10 / (N * 10^word length l) + si.count = (long)((double)10 / Math.Pow((double)10, (double)si.term.Length)); si.distance = editDistanceMax + 1; suggestionParts.Add(si); } } - nextTerm:; + nextTerm:; } SuggestItem suggestion = new SuggestItem(); - suggestion.count = Int64.MaxValue; - string s = ""; foreach (SuggestItem si in suggestionParts) { s += si.term + " "; suggestion.count = Math.Min(suggestion.count, si.count); }//Console.WriteLine(s); - suggestion.term = s.TrimEnd(); + + double count = SymSpell.N; + System.Text.StringBuilder s = new System.Text.StringBuilder(); + foreach (SuggestItem si in suggestionParts) { s.Append(si.term + " "); count *= (double)si.count / (double)SymSpell.N; } + suggestion.count = (long)count; + + suggestion.term = s.ToString().TrimEnd(); suggestion.distance = distanceComparer.Compare(input, suggestion.term, int.MaxValue); List suggestionsLine = new List(); @@ -926,7 +1021,6 @@ public List LookupCompound(string input, int editDistanceMax) return suggestionsLine; } - //###### //WordSegmentation divides a string into words by inserting missing spaces at the appropriate positions diff --git a/SymSpell/SymSpell.csproj b/SymSpell/SymSpell.csproj index 226c680..48ffffe 100644 --- a/SymSpell/SymSpell.csproj +++ b/SymSpell/SymSpell.csproj @@ -9,14 +9,14 @@ Wolf Garbe <wolf.garbe@faroo.com> SymSpell Spelling correction & Fuzzy search: 1 million times faster through Symmetric Delete spelling correction algorithm - Copyright (C) 2018 Wolf Garbe + Copyright (C) 2019 Wolf Garbe https://opensource.org/licenses/MIT https://github.com/wolfgarbe/symspell https://github.com/wolfgarbe Git symspell, spelling-correction, spellcheck, spell-check, spelling, fuzzy-search, approximate-string-matching, edit-distance, levenshtein, levenshtein-distance, damerau-levenshtein, word segmentation WordSegmentation added.\r\nLookupCompound added (SymSpellCompound integrated into SymSpell).\r\nLicense changed from LGPL to MIT - 6.3 + 6.5 @@ -34,11 +34,15 @@ + PreserveNewest + + + PreserveNewest diff --git a/SymSpell/frequency_bigramdictionary_en_243_342.txt b/SymSpell/frequency_bigramdictionary_en_243_342.txt new file mode 100644 index 0000000..c7cfb00 --- /dev/null +++ b/SymSpell/frequency_bigramdictionary_en_243_342.txt @@ -0,0 +1,242342 @@ +abcs of 10956800 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