Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The NTU-MC Toolkit is a compilation of tools to annotate the Nanyang Technological University - Multilingual Corpus (NTU-MC). The NTU-MC is a parallel corpora of linguistically diverse languages (Arabic, English, Indonesian, Japanese, Korean, Mandarin Chinese, Thai and Vietnamese). The NTU-MC thrives on the mantra of "more data is better data and more annotation is better information". Other than increasing parallel data from diverse language pairs, annotating the corpus with various layers of information allows corpora linguists to discover linguistic phenomena and provides computational linguists with pre-annotated features for various NLP tasks. In addition to the agglomeration existing tools into a single python wrapper library,  have implemented three tools (Mini-segmenter, GaChalign and Indotag) that (i) provides users with varying analysis of the corpus, (ii) improves the state-of-art performance and (iii) reimplements a previously unavailable annotation tool as a free and open tool.  briefly describes the wrapper classes available in the toolkit and introduces and demonstrates the usage of the Mini-segmenter, GaChalign and Indotag.
['Liling Tan', 'Francis Bond']
I am writing a research paper on a idea NTU-MC Toolkit: Annotating a Linguistically Diverse Corpus
[{"from": "human", "value": "I am writing a research paper on a idea NTU-MC Toolkit: Annotating a Linguistically Diverse Corpus"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The NTU-MC Toolkit is a compilation of tools to annotate the Nanyang Technological University - Multilingual Corpus (NTU-MC). The NTU-MC is a parallel corpora of linguistically diverse languages (Arabic, English, Indonesian, Japanese, Korean, Mandarin Chinese, Thai and Vietnamese). The NTU-MC thrives on the mantra of \"more data is better data and more annotation is better information\". Other than increasing parallel data from diverse language pairs, annotating the corpus with various layers of information allows corpora linguists to discover linguistic phenomena and provides computational linguists with pre-annotated features for various NLP tasks. In addition to the agglomeration existing tools into a single python wrapper library,  have implemented three tools (Mini-segmenter, GaChalign and Indotag) that (i) provides users with varying analysis of the corpus, (ii) improves the state-of-art performance and (iii) reimplements a previously unavailable annotation tool as a free and open tool.  briefly describes the wrapper classes available in the toolkit and introduces and demonstrates the usage of the Mini-segmenter, GaChalign and Indotag."}]