The phrase "reduce words" is grammatically correct and can be used in written English
It means to make a sentence or phrase shorter by using fewer words. Example: "I need to reduce the number of words in this paragraph to meet the word count limit for my essay."
Experiments use on the one hand the LMF standardized Arabic dictionary [10] as a resource to exploit [10] the synonymy of words and properties of semantic arguments (semantic class and thematic role)and, on the other hand, the Stanford Parser [4], the MADAMIRA tool [16] to reduce words to their stem or lemma by removing the suffix, the prefix.
Using the ' tm' package in R [ 11], we perform standard text-mining operations to remove stop words and punctuations followed by the application of the Porter stemming to reduce words in the abstracts to their stems.
For two- and eight-channel tasks, to get benefited from the multi-channel data, we also use ROVER, instead of the multi-microphone signal processing method, to reduce word error rate by selecting the best scoring word at each channel.
The second feature set is a noise robust version of the FE, which is generally called advanced front-end (AFE) in the literature and is known to significantly reduce word error rates in noisy conditions [21].
ROVER, developed by J. Fiscus of NIST [11], seeks to reduce word error rates for automatic speech recognition by exploiting differences in the nature of the errors made by multiple speech recognition systems.
I used to work as a professional translator and would generally reduce word counts by up to 20% from French into English, or regularly break one longer sentence down into two.
Definewnas the set of all reduced words inFrof lengthn(the identity is a neutral element), and |wn| as the number of elements ofwn.
Standard word delimiters are used to split multiple text strings to words and the Porter stemming algorithm [24] reduces words to common stems in order to map different forms of one word to their common stem.
The team used two electronic methods to distort the words: noise-vocoded (NV) synthesis, which makes words sound very raspy and breathy; the other, known as sine-wave (SW) synthesis, which reduces words to just three tones, is something like converting a rich color photograph into a stripped-down black and white version.
By comparison with ETSI WI008 advanced DSR frontend, the proposed method reduces word error rates by 20.9% with clean training and 17.2% with multicondition training.
In the single-channel task, full batch processing reduced word error rate (WER) from 10.0 to 9.3 % on SimData as compared to utterance-based batch processing.
