--- title: Long words are often built from smaller parts, like a train made of… — Building words: prefixes, suffixes and compounds · tree and pragmatics description: Long words are often built from smaller parts, like a train made of carriages: a root in the middle, a prefix hooked on the front and a suffix hooked on the back. A sentence of the lesson «Building words: prefixes, suffixes and compounds» of the language course of Mova's primary school with its depe --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/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/) / [Building words: prefixes, suffixes and…](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/) / 0 # Building words: prefixes, suffixes and compounds, sentence 0 Long words are often built from smaller parts, like a train made of carriages: a root in the middle, a prefix hooked on the front and a suffix hooked on the back. **What happens:** build, make, hook · **To what, where:** Long words, smaller parts, train, prefix, suffix This is a sentence of the lesson «Building words: prefixes, suffixes and compounds» 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: what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:language:037-building-words-prefixes-suffixes-and-compounds.lesson:0 # text = Long words are often built from smaller parts, like a train made of carriages: a root in the middle, a prefix hooked on the front and a suffix hooked on the back. # source = school lesson (ours) # course = language # lesson = 037-building-words-prefixes-suffixes-and-compounds.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): R1-cc-next ×1, R5-strong ×1 1 Long long ADJ JJ Degree=Pos 2 amod _ _ 2 words word NOUN NNS Number=Plur 5 nsubj:pass _ _ 3 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 5 aux:pass _ _ 4 often often ADV RB _ 5 advmod _ _ 5 built build VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 6 from from ADP IN _ 8 case _ _ 7 smaller small ADJ JJR Degree=Cmp 8 amod _ _ 8 parts part NOUN NNS Number=Plur 5 obl _ _ 9 , , PUNCT , _ 12 punct _ _ 10 like like ADP IN _ 12 case _ _ 11 a a DET DT Definite=Ind|PronType=Art 12 det _ _ 12 train train NOUN NN Number=Sing 5 obl _ _ 13 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 12 acl _ _ 14 of of ADP IN _ 15 case _ _ 15 carriages carriage NOUN NNS Number=Plur 13 obl _ _ 16 : : PUNCT : _ 18 punct _ _ 17 a a DET DT Definite=Ind|PronType=Art 18 det _ _ 18 root root NOUN NN Number=Sing 12 appos _ Agree=R5-strong|Haiku=5:obl 19 in in ADP IN _ 21 case _ _ 20 the the DET DT Definite=Def|PronType=Art 21 det _ _ 21 middle middle NOUN NN Number=Sing 18 nmod _ _ 22 , , PUNCT , _ 24 punct _ _ 23 a a DET DT Definite=Ind|PronType=Art 24 det _ _ 24 prefix prefix NOUN NN Number=Sing 18 conj _ _ 25 hooked hook VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 24 acl _ _ 26 on on ADP IN _ 28 case _ _ 27 the the DET DT Definite=Def|PronType=Art 28 det _ _ 28 front front NOUN NN Number=Sing 25 obl _ _ 29 and and CCONJ CC _ 31 cc _ Agree=R1-cc-next|Haiku=24:cc 30 a a DET DT Definite=Ind|PronType=Art 31 det _ _ 31 suffix suffix NOUN NN Number=Sing 24 conj _ _ 32 hooked hook VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 31 acl _ _ 33 on on ADP IN _ 35 case _ _ 34 the the DET DT Definite=Def|PronType=Art 35 det _ _ 35 back back NOUN NN Number=Sing 32 obl _ _ 36 . . PUNCT . _ 5 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **build** | present · passive | | Long words | | smaller parts | | like a train; often *property* | vn build-26.1-1 «NP.asset V PP»: subject=Product from part=Material | | 2 | **make** | participle | | a train *not said here* | | | | of carriages | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 3 | **hook** | participle | | a prefix and a suffix *not said here* | | | | on the front | vn tape-22.4 «NP V ADV-Middle PP»: agent=Patient on front=Co-Patient | | 4 | **hook** | participle | | a suffix *not said here* | | | | on the back | vn tape-22.4 «NP V ADV-Middle PP»: agent=Patient on back=Co-Patient | 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:037-building-words-prefixes-suffixes-and-compounds.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): R1-cc-next ×1, R5-strong ×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: [Grammar puzzles, part two, 15](https://md.mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/15/) - next →: [Building words: prefixes, suffixes and…, 1](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/1/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/)