diff options
| author | desaicwtf <desaicwtf@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-06-28 23:14:21 +0000 |
|---|---|---|
| committer | desaicwtf <desaicwtf@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-06-28 23:14:21 +0000 |
| commit | ebd00f59aab18446051f9838d3d08427b242b435 (patch) | |
| tree | 155a32bba53f50c322c113f51a09a99c0a30475a /gi/posterior-regularisation/prjava/src/data | |
| parent | 95ecf39865c10d46b80e30021e1a838d77eaf09a (diff) | |
add draft version of POS induction with HMM and L1 Linf constraints
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@47 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'gi/posterior-regularisation/prjava/src/data')
| -rw-r--r-- | gi/posterior-regularisation/prjava/src/data/Corpus.java | 230 |
1 files changed, 230 insertions, 0 deletions
diff --git a/gi/posterior-regularisation/prjava/src/data/Corpus.java b/gi/posterior-regularisation/prjava/src/data/Corpus.java new file mode 100644 index 00000000..f0da0b33 --- /dev/null +++ b/gi/posterior-regularisation/prjava/src/data/Corpus.java @@ -0,0 +1,230 @@ +package data;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.Scanner;
+
+public class Corpus {
+
+ public static final String alphaFilename="../posdata/corpus.alphabet";
+ public static final String tagalphaFilename="../posdata/corpus.tag.alphabet";
+
+// public static final String START_SYM="<s>";
+ public static final String END_SYM="<e>";
+ public static final String NUM_TOK="<NUM>";
+
+ public static final String UNK_TOK="<unk>";
+
+ private ArrayList<String[]>sent;
+ private ArrayList<int[]>data;
+
+ public ArrayList<String[]>tag;
+ public ArrayList<int[]>tagData;
+
+ public static boolean convertNumTok=true;
+
+ private HashMap<String,Integer>freq;
+ public HashMap<String,Integer>vocab;
+
+ public HashMap<String,Integer>tagVocab;
+ private int tagV;
+
+ private int V;
+
+ public static void main(String[] args) {
+ Corpus c=new Corpus("../posdata/en_test.conll");
+ System.out.println(
+ Arrays.toString(c.get(0))
+ );
+ System.out.println(
+ Arrays.toString(c.getInt(0))
+ );
+
+ System.out.println(
+ Arrays.toString(c.get(1))
+ );
+ System.out.println(
+ Arrays.toString(c.getInt(1))
+ );
+ }
+
+ public Corpus(String filename,HashMap<String,Integer>dict){
+ V=0;
+ tagV=0;
+ freq=new HashMap<String,Integer>();
+ tagVocab=new HashMap<String,Integer>();
+ vocab=dict;
+
+ sent=new ArrayList<String[]>();
+ tag=new ArrayList<String[]>();
+
+ Scanner sc=io.FileUtil.openInFile(filename);
+ ArrayList<String>s=new ArrayList<String>();
+ // s.add(START_SYM);
+ while(sc.hasNextLine()){
+ String line=sc.nextLine();
+ String toks[]=line.split("\t");
+ if(toks.length<2){
+ s.add(END_SYM);
+ sent.add(s.toArray(new String[0]));
+ s=new ArrayList<String>();
+ // s.add(START_SYM);
+ continue;
+ }
+ String tok=toks[1].toLowerCase();
+ s.add(tok);
+ }
+ sc.close();
+
+ buildData();
+ }
+
+ public Corpus(String filename){
+ V=0;
+ freq=new HashMap<String,Integer>();
+ vocab=new HashMap<String,Integer>();
+ tagVocab=new HashMap<String,Integer>();
+
+ sent=new ArrayList<String[]>();
+ tag=new ArrayList<String[]>();
+
+ System.out.println("Reading:"+filename);
+
+ Scanner sc=io.FileUtil.openInFile(filename);
+ ArrayList<String>s=new ArrayList<String>();
+ ArrayList<String>tags=new ArrayList<String>();
+ //s.add(START_SYM);
+ while(sc.hasNextLine()){
+ String line=sc.nextLine();
+ String toks[]=line.split("\t");
+ if(toks.length<2){
+ s.add(END_SYM);
+ tags.add(END_SYM);
+ if(s.size()>2){
+ sent.add(s.toArray(new String[0]));
+ tag.add(tags.toArray(new String [0]));
+ }
+ s=new ArrayList<String>();
+ tags=new ArrayList<String>();
+ // s.add(START_SYM);
+ continue;
+ }
+
+ String tok=toks[1].toLowerCase();
+ if(convertNumTok && tok.matches(".*\\d.*")){
+ tok=NUM_TOK;
+ }
+ s.add(tok);
+
+ if(toks.length>3){
+ tok=toks[3].toLowerCase();
+ }else{
+ tok="_";
+ }
+ tags.add(tok);
+
+ }
+ sc.close();
+
+ for(int i=0;i<sent.size();i++){
+ String[]toks=sent.get(i);
+ for(int j=0;j<toks.length;j++){
+ addVocab(toks[j]);
+ addTag(tag.get(i)[j]);
+ }
+ }
+
+ buildVocab();
+ buildData();
+ System.out.println(data.size()+"sentences, "+vocab.keySet().size()+" word types");
+ }
+
+ public String[] get(int idx){
+ return sent.get(idx);
+ }
+
+ private void addVocab(String s){
+ Integer integer=freq.get(s);
+ if(integer==null){
+ integer=0;
+ }
+ freq.put(s, integer+1);
+ }
+
+ public int tokIdx(String tok){
+ Integer integer=vocab.get(tok);
+ if(integer==null){
+ return V;
+ }
+ return integer;
+ }
+
+ public int tagIdx(String tok){
+ Integer integer=tagVocab.get(tok);
+ if(integer==null){
+ return tagV;
+ }
+ return integer;
+ }
+
+ private void buildData(){
+ data=new ArrayList<int[]>();
+ for(int i=0;i<sent.size();i++){
+ String s[]=sent.get(i);
+ data.add(new int [s.length]);
+ for(int j=0;j<s.length;j++){
+ data.get(i)[j]=tokIdx(s[j]);
+ }
+ }
+
+ tagData=new ArrayList<int[]>();
+ for(int i=0;i<tag.size();i++){
+ String s[]=tag.get(i);
+ tagData.add(new int [s.length]);
+ for(int j=0;j<s.length;j++){
+ tagData.get(i)[j]=tagIdx(s[j]);
+ }
+ }
+ }
+
+ public int [] getInt(int idx){
+ return data.get(idx);
+ }
+
+ /**
+ *
+ * @return size of vocabulary
+ */
+ public int getVocabSize(){
+ return V;
+ }
+
+ public int [][]getAllData(){
+ return data.toArray(new int [0][]);
+ }
+
+ public int [][]getTagData(){
+ return tagData.toArray(new int [0][]);
+ }
+
+ private void buildVocab(){
+ for (String key:freq.keySet()){
+ if(freq.get(key)>2){
+ vocab.put(key, V);
+ V++;
+ }
+ }
+ io.SerializedObjects.writeSerializedObject(vocab, alphaFilename);
+ io.SerializedObjects.writeSerializedObject(tagVocab,tagalphaFilename);
+ }
+
+ private void addTag(String tag){
+ Integer i=tagVocab.get(tag);
+ if(i==null){
+ tagVocab.put(tag, tagV);
+ tagV++;
+ }
+ }
+
+}
|