text

«text» in Mova's school dictionary: written words, like the words in a book or on a screen — its meaning for a pupil, its sense in the lessons and examples, with 5 sentences of Mova's corpora that use it.

part of speech

noun (a text, texts; text, uncountable); verb (text, texts, texted, texting)

meaning for a pupil

1) Text is written words, like the words in a book or on a screen. tree →

2) A text is a piece of writing, like a story, poem, article or set of instructions you read in class. tree →

3) A text (text message) is a short written message sent from one phone to another. tree →

4) To text someone means to send them a text message. tree →

sense in the lessons

In English lessons, «text» means any piece of writing you study: fiction and non-fiction texts, text types (instructions, reports, letters), «find evidence in the text». In maths, a «text» problem is a word problem. Online safety: only text people you know in real life; do not share personal information or photos; tell an adult if a text upsets you. Phrases: «in the text», «text message», «send a text», «text type», «textbook».

examples

• Read the text and answer the questions. tree →
• Underline the adjectives in the text. tree →
• Mum sent me a text to say she was running late. tree →
• Can you text me when you get home? tree →
• The text on the screen was too small to read. tree →
• Instructions are a non-fiction text type. tree →
• Find evidence in the text to support your answer. tree →
• Never reply to texts from strangers. tree →
• My sister texted her friend all evening. tree →
• There are a few Greek words in this text. tree →

note

Past: «texted» (said «tex-tid»). Uncountable for words in general («a lot of text»), countable for one piece of writing or message («two texts»). Words: «textbook» (a school book), «texting». Do not confuse with «context» (the words and situation around something).

In the corpora

• A text saying a parcel is held and asking for a small payment is a common scam to steal bank details.
• A language model learned by predicting missing or next words in enormous amounts of text.
• People designed AI, collected its text, built its computers and trained it, so people are responsible for it.
• Bots tend to repeat the most common jokes, because those appeared most often in their training text.
• Different bots learned from different text, so they can give different answers.

Trees and pragmatics

Every meaning and example of «text» parsed by Mova, each sentence with its dependency tree and frames.