AI TRAINING
A linguistic corpus is a large collection of text or speech data that is used to develop language processing systems, such as machine translation, speech recognition, and text-to-speech systems. The quality and size of the corpus play a crucial role in determining the accuracy and effectiveness of these systems.
At Linguacle, we understand the importance of high-quality linguistic corpora in NLP. Our team of experienced linguists and data specialists are experts in the generation of linguistic corpora, with a deep understanding of language structure, usage, and variability.
We believe that the generation of linguistic corpora requires a high level of expertise, which is why our team uses advanced methods and tools to collect, annotate, and curate text and speech data. This ensures that the corpus is representative of the target language, accurately reflecting its structure, usage, and variability.
Whether you are developing a machine translation system, a speech recognition system, or any other type of language processing system, our Generation of Linguistic Corpora Services are here to help. Our team of experts is available 24/7 to answer any questions you may have and to provide you with a quick and hassle-free quote.
Our expert team is always available.
AI TRAINING
Linguistic annotation is the process of adding linguistic information to text or speech data, such as part-of-speech tags, named entity recognition, and syntax trees. This information is crucial for developing language processing systems, such as machine translation, speech recognition, and text-to-speech systems.
At Linguacle, we understand the importance of high-quality linguistic annotation in NLP. Our team of experienced linguists and data specialists are experts in linguistic annotation, with a deep understanding of language structure, usage, and variability.
We believe that linguistic annotation requires a high level of expertise, which is why our team uses advanced methods and tools to accurately and consistently annotate text and speech data. This ensures that the annotated data is representative of the target language, accurately reflecting its structure, usage, and variability.
Whether you’re developing a machine translation system, a speech recognition system, or any other type of language processing system, our Linguistic Annotation Services are here to help. Our team of experts is available 24/7 to answer any questions you may have and to provide you with a quick and hassle-free quote.
Our expert team is always available.
AI TRAINING
Quality assurance (QA) and Quality Control (QC) of linguistic datasets is crucial for ensuring the quality and consistency of language processing systems, such as machine translation, speech recognition, and text-to-speech systems. This involves verifying that the data used to develop these systems is accurate and consistent, and that it accurately reflects the target language’s structure, usage, and variability.
At Linguacle, we understand the importance of high-quality linguistic datasets in NLP. Our team of experienced linguists and data specialists are experts in QA and QC of linguistic datasets, with a deep understanding of language structure, usage, and variability.
We believe that QA and QC of linguistic datasets requires a high level of expertise, which is why our team uses advanced methods and tools to verify the accuracy and consistency of text and speech data. This ensures that the data used to develop language processing systems is of the highest quality and consistency, accurately reflecting the target language’s structure, usage, and variability.
Whether you’re developing a machine translation system, a speech recognition system, or any other type of language processing system, our QA and QC Linguistic Dataset Services are here to help. Our team of experts is available 24/7 to answer any questions you may have and to provide you with a quick and hassle-free quote.
Our expert team is always available.
