Merge branch 'master' of github.com:translationCoreApps/word-map

README.md

@@ -33,7 +33,7 @@ Alignments provide many valuable benefits to translators including:
 * **n-gram (word or phrase)**: A contiguous sequence of n tokens from a given sample of text. An n-gram containing a single token is referred to as a "unigram"; two tokens is a "bigram", etc. For example: "hello" is a unigram, while "hello world" is a bigram.
 * **Unaligned Sentence Pair**: A sentence in two languages that need to be aligned. e.g. a sentence from a primary text and secondary text.
 * **Alignment**: Two individual `n-grams` that have been matched from two texts. e.g. from a primary text and secondary text.
-* **Saved Alignment**: An alignment that has been approved/corrected by the user.
+* **Saved Alignment (Alignment Memory)**: An alignment that has been approved/corrected by the user.
 * **Engine**: Contains a index of every permutation of possible `n-gram` `alignments`. And an index of `saved alignments`.
 * **Corpus**: The input dataset which is the primary and secondary text given as a list of `unaligned sentence pairs`. This is used in training the engine. Note: This is not input directly provided by the user.
 * **Tokenization**: Separating a sentence into individual words and punctuation.

package.json

@@ -1,6 +1,6 @@
 {
   "name": "wordmap",
-  "version": "0.4.0",
+  "version": "0.4.1",
   "description": "Multi-Lingual Word Alignment Prediction",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",
@@ -63,13 +63,13 @@
     "tslint": "^5.11.0",
     "typedoc": "^0.12.0",
     "typescript": "^3.0.3",
-    "wordmap-lexer": "^0.3.1"
+    "wordmap-lexer": "^0.3.3"
   },
   "dependencies": {
     "@types/yargs": "^11.0.0",
     "yargs": "^11.0.0"
   },
   "peerDependencies": {
-    "wordmap-lexer": "^0.3.1"
+    "wordmap-lexer": "0.3.3"
   }
 }