Amharic-NLP-Tools-in-JAVA

Amharic NLP Tools in Java

This repository contains implementations of various Natural Language Processing (NLP) tasks and tools specifically for the Amharic language using Java. The goal is to provide a comprehensive set of tools to facilitate NLP research and development for Amharic.

Features

• Tokenization: Splitting text into words, sentences, or other meaningful units.
• Sentence Segmentation: Dividing text into individual sentences.
• Sentence Boundary Detection: Identifying the boundaries of sentences within a text.
• Normalization:
  • Character normalization
  • Abbreviation substitution
  • Strange character, word, and symbol removal
  • Removal of emojis
  • Removal of emoticons
  • Removal of punctuations
  • Conversion of emoticons to words
  • Conversion of emojis to words
• StopWord Removal: Removing common words that do not carry significant meaning.
• Noun Phrase Chunking: Identifying and grouping noun phrases.
• Lemmatization: Reducing words to their base or root form.
• Stemming: Reducing words to their root form by removing suffixes.
• Named Entity Recognition (NER): Identifying and classifying named entities in text.
• Part-of-Speech (POS) Tagging: Assigning parts of speech to each word in a sentence.
• Word-Sense Disambiguation: Determining the correct meaning of a word based on context.
• Co-reference Resolution: Identifying when different expressions refer to the same entity.
• Entity Linking: Connecting entities mentioned in the text to their corresponding entries in a knowledge base.
• Terminology Extraction: Extracting domain-specific terms from text.
• Discourse Parsing: Analyzing the structure of discourse in text.
• Sentiment Analysis: Determining the sentiment expressed in a piece of text.
• Text Classification: Categorizing text into predefined categories.
• Language Modeling: Building models to predict the next word in a sequence.
• Machine Translation: Translating text from Amharic to other languages and vice versa.

Project Structure

amharic-nlp-tools-in-java/
│
├── README.md
├── src/
│   ├── main/
│   │   └── java/
│   │       └── nlp/
│   │           ├── Tokenizer.java
│   │           ├── SentenceSegmenter.java
│   │           ├── SentenceBoundaryDetector.java
│   │           ├── Normalizer.java
│   │           ├── StopWordRemover.java
│   │           ├── NounPhraseChunker.java
│   │           ├── Lemmatizer.java
│   │           ├── Stemmer.java
│   │           ├── NER.java
│   │           ├── POSTagger.java
│   │           ├── WordSenseDisambiguator.java
│   │           ├── CoReferenceResolver.java
│   │           ├── EntityLinker.java
│   │           ├── TerminologyExtractor.java
│   │           ├── DiscourseParser.java
│   │           ├── SentimentAnalyzer.java
│   │           ├── TextClassifier.java
│   │           ├── LanguageModel.java
│   │           └── Translator.java
│   └── test/
│       └── java/
│           └── nlp/
│               └── NLPToolsTest.java

• src/main/java/nlp/: Contains the main implementation of each NLP tool.
  • Tokenizer.java: Implementation of text tokenization.
  • SentenceSegmenter.java: Implementation of sentence segmentation.
  • SentenceBoundaryDetector.java: Implementation of sentence boundary detection.
  • Normalizer.java: Implementation of text normalization.
  • StopWordRemover.java: Implementation of stop word removal.
  • NounPhraseChunker.java: Implementation of noun phrase chunking.
  • Lemmatizer.java: Implementation of lemmatization.
  • Stemmer.java: Implementation of stemming.
  • NER.java: Implementation of named entity recognition.
  • POSTagger.java: Implementation of part-of-speech tagging.
  • WordSenseDisambiguator.java: Implementation of word-sense disambiguation.
  • CoReferenceResolver.java: Implementation of co-reference resolution.
  • EntityLinker.java: Implementation of entity linking.
  • TerminologyExtractor.java: Implementation of terminology extraction.
  • DiscourseParser.java: Implementation of discourse parsing.
  • SentimentAnalyzer.java: Implementation of sentiment analysis.
  • TextClassifier.java: Implementation of text classification.
  • LanguageModel.java: Implementation of language modeling.
  • Translator.java: Implementation of machine translation.
• src/test/java/nlp/: Contains unit tests for each tool to ensure they work correctly.
  • NLPToolsTest.java: Unit tests for the NLP tools.

Getting Started

Prerequisites

• Java Development Kit (JDK): Make sure you have JDK installed on your system. You can download it from oracle.com.
• Maven: A build automation tool for Java projects. You can download it from maven.apache.org.

Installation

Clone the repository to your local machine:

git clone https://github.com/yourusername/amharic-nlp-tools-in-java.git
cd amharic-nlp-tools-in-java

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Special thanks to the open-source community for their invaluable contributions and resources.

Bushra KM.
Debre Berhan University, Ethiopia
2019