--- title: Your breakfast may be full of travellers: "coffee" and "sugar" came… — Borrowed words from far away: Hindi, Arabic, Chi… · tree and pragmatics description: Your breakfast may be full of travellers: "coffee" and "sugar" came from Arabic, "tea" from a Chinese language, and "ketchup" probably started as a Chinese fish sauce. Who acts: breakfast, coffee, ketchup. A sentence of the lesson «Borrowed words from far away: Hindi, Arabic, Chinese, Ukrainian and --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/2/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Language](https://md.mova.elamur.ai/free/en/corpora/school/language/) / [Borrowed words from far away: Hindi, A…](https://md.mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/) / 2 # Borrowed words from far away: Hindi, Arabic, Chinese, Ukrainian and more, sentence 2 Your breakfast may be full of travellers: "coffee" and "sugar" came from Arabic, "tea" from a Chinese language, and "ketchup" probably started as a Chinese fish sauce. **Who acts:** breakfast, coffee, ketchup · **What happens:** be, come, start · **To what, where:** Arabic This is a sentence of the lesson «Borrowed words from far away: Hindi, Arabic, Chinese, Ukrainian and more» of the language course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (breakfast, coffee, ketchup), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:language:024-borrowed-words-from-far-away.lesson:2 # text = Your breakfast may be full of travellers: "coffee" and "sugar" came from Arabic, "tea" from a Chinese language, and "ketchup" probably started as a Chinese fish sauce. # source = school lesson (ours) # course = language # lesson = 024-borrowed-words-from-far-away.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R7-rel-agree ×1 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 breakfast breakfast NOUN NN Number=Sing 5 nsubj _ _ 3 may may AUX MD VerbForm=Fin 5 aux _ _ 4 be be AUX VB VerbForm=Inf 5 cop _ _ 5 full full ADJ JJ Degree=Pos 0 root _ _ 6 of of ADP IN _ 7 case _ _ 7 travellers traveller NOUN NNS Number=Plur 5 obl _ _ 8 : : PUNCT : _ 16 punct _ _ 9 " " PUNCT `` _ 10 punct _ _ 10 coffee coffee NOUN NN Number=Sing 16 nsubj _ _ 11 " " PUNCT '' _ 10 punct _ _ 12 and and CCONJ CC _ 14 cc _ _ 13 " " PUNCT `` _ 14 punct _ _ 14 sugar sugar NOUN NN Number=Sing 10 conj _ _ 15 " " PUNCT '' _ 14 punct _ _ 16 came come VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 parataxis _ _ 17 from from ADP IN _ 18 case _ _ 18 Arabic Arabic PROPN NNP Number=Sing 16 obl _ _ 19 , , PUNCT , _ 21 punct _ _ 20 " " PUNCT `` _ 21 punct _ _ 21 tea tea NOUN NN Number=Sing 16 parataxis _ _ 22 " " PUNCT '' _ 21 punct _ _ 23 from from ADP IN _ 26 case _ _ 24 a a DET DT Definite=Ind|PronType=Art 26 det _ _ 25 Chinese Chinese ADJ JJ Degree=Pos 26 amod _ _ 26 language language NOUN NN Number=Sing 16 obl _ _ 27 , , PUNCT , _ 33 punct _ _ 28 and and CCONJ CC _ 33 cc _ _ 29 " " PUNCT `` _ 30 punct _ _ 30 ketchup ketchup NOUN NN Number=Sing 33 nsubj _ _ 31 " " PUNCT '' _ 30 punct _ _ 32 probably probably ADV RB _ 33 advmod _ _ 33 started start VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 16 conj _ Agree=R7-rel-agree|Haiku=16:advcl 34 as as ADP IN _ 38 case _ _ 35 a a DET DT Definite=Ind|PronType=Art 38 det _ _ 36 Chinese Chinese ADJ JJ Degree=Pos 38 amod _ _ 37 fish fish NOUN NN Number=Sing 38 compound _ _ 38 sauce sauce NOUN NN Number=Sing 33 obl _ _ 39 . . PUNCT . _ 5 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - hedged: yes - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | may | Your breakfast | | | | | of travellers; full *property* | tree rules | | 2 | **come** | past | coffee and sugar | | | Arabic | | from a Chinese language | tree rules | | 3 | **start** | past | ketchup | | | | | as a Chinese fish sauce; probably *property* | vn begin-55.1-1-1 «NP.eventuality V»: agent=Eventuality | One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:language:024-borrowed-words-from-far-away.lesson:2`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R7-rel-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Borrowed words from far away: Hindi, A…, 1](https://md.mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/1/) - next →: [Borrowed words from far away: Hindi, A…, 3](https://md.mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/3/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/)