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Normalising the IJSELAN SloveneEnglish Parallel Corpus for the Extraction of Multilingual TerminologyGal Dias Departamento de Matemtica e Informtica Universidade da Beira Interior rua Marqus d\'vila
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How to fill out exploiting parallel corpora to

01
Start by identifying your target languages. Determine which languages you want to include in your parallel corpora.
02
Gather the necessary data for your parallel corpora. This can include translated documents, bilingual dictionaries, or aligned sentence pairs.
03
Preprocess the data to ensure it is in a suitable format. This may involve cleaning the text, tokenizing sentences, or aligning parallel sentences.
04
Align the parallel sentences to create a parallel corpus. This step involves aligning the source and target sentences so they can be used for translation or other language processing tasks.
05
Evaluate and validate the quality of your parallel corpus. Use metrics such as BLEU score or manual inspection to assess the accuracy and alignment of the parallel sentences.

Who needs exploiting parallel corpora to?

01
Language researchers or linguists who are studying the relationships between different languages.
02
Machine learning practitioners who are training language models or translation systems.
03
Translation companies or professionals who require high-quality translations between specific language pairs.
04
Natural language processing (NLP) researchers or developers who need parallel data for tasks such as machine translation, sentiment analysis, or named entity recognition.
05
Students or academics who are conducting research or writing papers on multilingualism or language processing.

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Exploiting parallel corpora is used to align texts in two or more languages to aid in translation and natural language processing tasks.
Researchers, translators, and individuals working on multilingual projects may be required to use exploiting parallel corpora.
To fill out exploiting parallel corpora, one must align texts in different languages using tools and techniques designed for parallel corpus alignment.
The purpose of exploiting parallel corpora is to improve machine translation, language modeling, and other natural language processing tasks.
Information such as the source and target languages, alignment method used, and any preprocessing steps taken must be reported on exploiting parallel corpora.
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