Chapter 9 — The Digital Bishnupriya Manipuri Dictionary Platform

After the lexical corpus, phonological rules, and diphone system were established, the next step of the project was to build a digital platform that could make the dictionary accessible to users.

The Bishnupriya Manipuri digital dictionary is implemented as a web-based system using PHP and a MySQL database. This platform integrates lexical data, pronunciation modeling, and speech synthesis into a single interactive interface.

Through this system, users can search for words, view lexical information, and listen to automatically generated pronunciations.

1. Database Architecture

At the core of the digital dictionary is a structured database.

Each dictionary entry is stored as a row in a database table. The table typically contains fields such as:

• word (Bishnupriya Manipuri spelling)
• meaning
• part of speech
• source dictionary
• IPA pronunciation
• additional notes

This database structure allows the dictionary to support fast searching and flexible data analysis.

Because the database stores entries in a structured format, it also allows integration with computational tools such as pronunciation converters and diphone generators.

2. Search System

The digital dictionary includes a search system that allows users to locate words quickly.

When a user enters a query, the system searches the database for matching entries.

Search results may include:

• exact matches
• partial matches
• related lexical entries

Efficient search functionality is essential for making the dictionary usable as a practical reference tool.

3. Word Detail Pages

When a user selects a word from the search results, the system displays a detailed word page.

The word page typically includes:

• the headword
• meaning or definition
• part of speech
• IPA pronunciation
• links to related entries
• audio playback controls

These pages serve as the main interface between the dictionary database and the user.

4. Pronunciation Playback

One of the most distinctive features of the digital dictionary is its ability to generate pronunciation audio automatically.

When the user clicks the audio button on a word page, the system performs several steps:

1. Retrieve the word from the database
2. Convert the word to IPA
3. Extract phoneme sequence
4. Generate diphone sequence
5. Load diphone audio files
6. Play the diphone sequence

This process allows the dictionary to function not only as a textual reference but also as a pronunciation learning tool.

5. Application Programming Interface (API)

To support modular development, the dictionary platform includes an application programming interface (API).

The API allows different components of the system to communicate with each other.

For example:

• the web interface can request pronunciation data
• analysis tools can retrieve phonological information
• external applications can access dictionary entries

This architecture makes the system flexible and easier to expand in the future.

6. Integration with the TTS Engine

The digital dictionary platform is closely integrated with the diphone-based text-to-speech system.

The TTS engine receives input from the dictionary and converts it into a sequence of diphone audio files.

This integration allows dictionary entries to be pronounced dynamically, even if the word has never been recorded as a complete audio file.

In this way, the dictionary becomes the central hub that connects lexical data, phonological analysis, and speech synthesis.

7. Web-Based Interface

The dictionary platform is implemented as a web application so that it can be accessed easily from different devices.

A web-based interface provides several advantages:

• no installation required
• cross-platform compatibility
• easy updates and maintenance
• accessibility for a global audience

Users can therefore access the dictionary from desktop computers, tablets, or mobile devices.

8. Continuous Improvement

The digital dictionary is not a static resource.

As new entries are added, and as pronunciation models improve, the system continues to evolve.

Because the dictionary is built on a flexible database and modular architecture, it can support future enhancements such as:

• expanded lexical entries
• improved pronunciation models
• additional linguistic annotations
• integration with language learning tools

These improvements will help ensure that the dictionary remains a valuable resource for both researchers and speakers of the language.