Sentence examples for extract the language from inspiring English sources

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Therefore, the core issue is how to extract the language differences regardless of content, speaker, and environment information [1, 2].

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This enabled us to extract the effect of second language vocabulary knowledge on reading words in the first language, the second language and pseudowords.

This is an edited extract from The Language of Cities by Deyan Sudjic, published by Allen Lane (RRP £25.00).

From this dataset, we extracted the additional languages (i.e., a language other than English) which the practice advertises as being spoken by the doctor at practice, and not by any other staff members, as well as the details of their practice (name and address).

Similarly, when translating between languages with different word orders, such as English and German, a fluent bilingual can extract the meaning from one language, and convert it to a properly sequenced sentence in the other, freely reordering the individual words as needed.

The behavioural measures showed that participants were able to recognise words (62%±13.3; t(19) = 4.04, P<0.001) and extract the underlying structure from the language streams (54.5%±8.5; t(19) = 2.34, P<0.03) with better performance in the test for word recognition than for rule learning (t(19) = 2.4, P<0.02).

The team used software from OpenKinect.org and wrote its own software in the Python language to extract the position of the feet and turn it into music.

We developed a specific SNP caller written in the Perl programming language to extract the information contained in the SOAP output file.

Multiple sequence alignments for each of the gene orthologs were built using ClustalW [27], and an ad hoc program was written in the C programming language to extract the intron presence/absence matrix (Dataset S1) and conserved amino acid regions of these alignments.

ManagedQ uses natural language processing (NLP) to extract the main concepts from the entire search bin.

Market sentiment is found through sentiment analysis, also known as opinion mining [45], which is the use of natural language processing methods to extract the attitude of a writer from source materials.

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