--- title: Words travel with people, ships, trade and food; when English speake… — Borrowed words from far away: Hindi, Arabic, Chi… · tree and pragmatics description: Words travel with people, ships, trade and food; when English speakers met people from India, the Arab world, China, Japan and Ukraine, they came home with new words. Who acts: Words, English speakers, speakers. A sentence of the lesson «Borrowed words from far away: Hindi, Arabic, Chinese, Ukrainia --- [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/0/) [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/) / 0 # Borrowed words from far away: Hindi, Arabic, Chinese, Ukrainian and more, sentence 0 Words travel with people, ships, trade and food; when English speakers met people from India, the Arab world, China, Japan and Ukraine, they came home with new words. **Who acts:** Words, English speakers, speakers · **What happens:** travel, meet, come · **To what, where:** people, India 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 (Words, English speakers, speakers), 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:0 # text = Words travel with people, ships, trade and food; when English speakers met people from India, the Arab world, China, Japan and Ukraine, they came home with new words. # 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): R3-conj-first ×2, R7-rel-agree ×1 1 Words word NOUN NNS Number=Plur 2 nsubj _ _ 2 travel travel VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 with with ADP IN _ 4 case _ _ 4 people people NOUN NNS Number=Plur 2 obl _ _ 5 , , PUNCT , _ 6 punct _ _ 6 ships ship NOUN NNS Number=Plur 4 conj _ _ 7 , , PUNCT , _ 8 punct _ _ 8 trade trade NOUN NN Number=Sing 4 conj _ Agree=R3-conj-first|Haiku=6:conj 9 and and CCONJ CC _ 10 cc _ _ 10 food food NOUN NN Number=Sing 4 conj _ Agree=R3-conj-first|Haiku=6:conj 11 ; ; PUNCT : _ 15 punct _ _ 12 when when SCONJ WRB _ 15 mark _ _ 13 English English ADJ JJ Degree=Pos 14 amod _ _ 14 speakers speaker NOUN NNS Number=Plur 15 nsubj _ _ 15 met meet VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 31 advcl _ _ 16 people people NOUN NNS Number=Plur 15 obj _ _ 17 from from ADP IN _ 18 case _ _ 18 India India PROPN NNP Number=Sing 16 nmod _ _ 19 , , PUNCT , _ 22 punct _ _ 20 the the DET DT Definite=Def|PronType=Art 22 det _ _ 21 Arab Arab ADJ JJ Degree=Pos 22 amod _ _ 22 world world NOUN NN Number=Sing 18 conj _ _ 23 , , PUNCT , _ 24 punct _ _ 24 China China PROPN NNP Number=Sing 18 conj _ _ 25 , , PUNCT , _ 26 punct _ _ 26 Japan Japan PROPN NNP Number=Sing 18 conj _ _ 27 and and CCONJ CC _ 28 cc _ _ 28 Ukraine Ukraine PROPN NNP Number=Sing 18 conj _ _ 29 , , PUNCT , _ 31 punct _ _ 30 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 31 nsubj _ _ 31 came come VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 2 parataxis _ Agree=R7-rel-agree|Haiku=2:conj 32 home home ADV RB _ 31 advmod _ _ 33 with with ADP IN _ 35 case _ _ 34 new new ADJ JJ Degree=Pos 35 amod _ _ 35 words word NOUN NNS Number=Plur 31 obl _ _ 36 . . PUNCT . _ 2 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **travel** | present | Words | | | | | with people and ships and trade and food | vn run-51.3.2-1 «NP V»: agent=Theme | | 2 | **meet** | past | English speakers | people | | India and the Arab world and China and Japan and Ukraine | | | vn meet-36.3-1 «NP V NP»: agent=Agent people=Co-Agent | | 3 | **come** | past | speakers *= speaker* | | | | | with new words; home *property* | vn escape-51.1-1 «NP V»: agent=Theme | 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:0`. **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): R3-conj-first ×2, 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: French, Norse and Latin, 16](https://md.mova.elamur.ai/free/en/corpora/school/language/23-borrowed-words-french-norse-and-latin/16/) - next →: [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/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/language/24-borrowed-words-from-far-away/)