.

readme.md

@@ -1,6 +1,6 @@
 # OSimUnr-Generator
 
-This repository provides tools used to automatically generate new instances of **OSimUnr dataset** ([see the paper of the study](#cite)), which contains orthographically similar but semantically unrelated word-pairs.
+This repository provides tools used to automatically generate new instances of **OSimUnr dataset** ([see the paper of the study](#cite)), which contains *orthographically similar but semantically unrelated* (OSimUnr) word-pairs.
 
 Here are some word-pair examples from the [dataset repository](https://github.com/gokhanercan/OSimUnr):
 
@@ -23,14 +23,14 @@ This repository uses English as the default language, but the codebase is design
 
 ## Core Components
 
-- **Genuine OSimUnr Methods**: Includes methods from the study such as the dataset generation pipeline, relatedness classifier, shallow affixation, semantic blacklisting, and root detectors.
+- **Genuine OSimUnr Methods**: Includes methods from the study, such as the dataset generation pipeline, relatedness classifier, shallow affixation, semantic blacklisting, and root detectors.
 - **Handles Pairing of Words**: Manages the associations and pairing of words.
 - **General Utility Functions**: Comprises Logger, Progress, String manipulation, and other utilities.
 - **General NLP Functions**: Covers essential NLP functionalities like Dataset, Language, POS (Part of Speech), Tokenizer, and Preprocessor.
 - **Subword Level Representations**: Features components like Ngram, Root, SegmentedWord, and Affixes for detailed linguistic analysis.
 - **Orthographic Similarity Tools**: Tools to compute various edit distances and overlapping coefficients for assessing text similarity.
 - **MorphoLex Shallow Parser**: A specialized parser for morphological analysis.
-- **WordNet Wrapper**: Used as a relatedness approximation tool, includes Word-pool, Semantic graph, and root detector.
+- **WordNet Wrapper**: Used as a relatedness approximation tool; includes Word-pool, Semantic graph, and root detector.
 - **Supports Building Your Own Language-Specific Pipeline**: Encourages the development of customized language pipelines, as detailed in `PipelineProviderBase`.
 
 ## Compatibility

setup.py

@@ -1,2 +1,3 @@
 import nltk
-nltk.download('wordnet')
+nltk.download('wordnet')
+nltk.download('omw')