The term "word sequence" is correct and usable in written English.
You can use it to refer to the order of words in a sentence or phrase. For example: "The correct word sequence is essential for conveying the intended meaning."
To address this problem, we integrates distributed semantic features of word sequence, with fixed-size independent of the length of the word sequence.
The system considers English and Japanese hypotheses in parallel to decide on the appropriate language and word sequence.
The word sequence has two principal uses: the medieval sequence in the liturgy of the Latin mass and the harmonic sequence in tonal music.
This system is made up of a speech recognizer (for decoding the spoken utterance into a word sequence), a natural language translator (for converting a word sequence into a sequence of signs belonging to the sign language), and a 3D avatar animation module (for playing back the signs).
The modern forms of style, word sequence, and phraseology are simpler and more flexible than in Classical Arabic and are often directly derivative of English or French.
Performance across tasks varies substantially in the SLI group, showing profound deficits in production of the count word sequence and basic calculation and significant deficits in understanding of the place-value principle in Hindu-Arabic notation.
After using a sequence mining algorithm to generate word sequence patterns, we asked the annotators to decide whether a word sequence displayed a polarity shifting pattern.
We propose to improve the detection rate by integrating the query (i.e., the searched word sequence).
where P is a phone sequence corresponding to word sequence W.
The speech recognizer is used for decoding the spoken utterance into a word sequence.
Backoff path determination will be achieved using POS information from the currently estimated word sequence.
