--- title: A blend joins parts of two words: brunch (breakfast + lunch), smog (… — Building words: prefixes, suffixes and compounds · tree and pragmatics description: A blend joins parts of two words: brunch (breakfast + lunch), smog (smoke + fog), motel (motor + hotel) and hangry (hungry + angry), which is now in major dictionaries. Who acts: blend. A sentence of the lesson «Building words: prefixes, suffixes and compounds» of the language course of Mova's prima --- [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/8/) [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/) / 8 # Building words: prefixes, suffixes and compounds, sentence 8 A blend joins parts of two words: brunch (breakfast + lunch), smog (smoke + fog), motel (motor + hotel) and hangry (hungry + angry), which is now in major dictionaries. **Who acts:** blend · **What happens:** join, be · **To what, where:** parts, major dictionaries 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: who acts (blend), 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:8 # text = A blend joins parts of two words: brunch (breakfast + lunch), smog (smoke + fog), motel (motor + hotel) and hangry (hungry + angry), which is now in major dictionaries. # 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 ×3, R7-rel-agree ×6 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 blend blend NOUN NN Number=Sing 3 nsubj _ _ 3 joins join VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 parts part NOUN NNS Number=Plur 3 obj _ _ 5 of of ADP IN _ 7 case _ _ 6 two two NUM CD NumForm=Word|NumType=Card 7 nummod _ _ 7 words word NOUN NNS Number=Plur 4 nmod _ _ 8 : : PUNCT : _ 9 punct _ _ 9 brunch brunch NOUN NN Number=Sing 3 conj _ _ 10 ( ( PUNCT -LRB- _ 11 punct _ _ 11 breakfast breakfast NOUN NN Number=Sing 9 appos _ _ 12 + + SYM SYM _ 13 cc _ Agree=R7-rel-agree|Haiku=13:case 13 lunch lunch NOUN NN Number=Sing 11 conj _ Agree=R7-rel-agree|Haiku=11:nmod 14 ) ) PUNCT -RRB- _ 11 punct _ _ 15 , , PUNCT , _ 16 punct _ _ 16 smog smog NOUN NN Number=Sing 9 conj _ Agree=R5-strong|Haiku=11:conj 17 ( ( PUNCT -LRB- _ 18 punct _ _ 18 smoke smoke NOUN NN Number=Sing 16 appos _ Agree=R5-strong|Haiku=11:appos 19 + + SYM SYM _ 20 cc _ Agree=R7-rel-agree|Haiku=20:case 20 fog fog NOUN NN Number=Sing 18 conj _ Agree=R7-rel-agree|Haiku=18:nmod 21 ) ) PUNCT -RRB- _ 18 punct _ _ 22 , , PUNCT , _ 23 punct _ _ 23 motel motel NOUN NN Number=Sing 9 conj _ Agree=R5-strong|Haiku=11:conj 24 ( ( PUNCT -LRB- _ 25 punct _ _ 25 motor motor NOUN NN Number=Sing 11 parataxis _ _ 26 + + SYM SYM _ 27 cc _ Agree=R7-rel-agree|Haiku=27:case 27 hotel hotel NOUN NN Number=Sing 25 conj _ Agree=R7-rel-agree|Haiku=25:nmod 28 ) ) PUNCT -RRB- _ 25 punct _ _ 29 and and CCONJ CC _ 30 cc _ _ 30 hangry hangry ADJ JJ Degree=Pos 11 conj _ _ 31 ( ( PUNCT -LRB- _ 32 punct _ _ 32 hungry hungry ADJ JJ Degree=Pos 11 appos _ _ 33 + + SYM SYM _ 34 cc _ Agree=R1-cc-next|Haiku=32:cc 34 angry angry ADJ JJ Degree=Pos 32 conj _ _ 35 ) ) PUNCT -RRB- _ 32 punct _ _ 36 , , PUNCT , _ 42 punct _ _ 37 which which PRON WDT PronType=Rel 42 nsubj _ _ 38 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 42 cop _ _ 39 now now ADV RB _ 42 advmod _ _ 40 in in ADP IN _ 42 case _ _ 41 major major ADJ JJ Degree=Pos 42 amod _ _ 42 dictionaries dictionary NOUN NNS Number=Plur 30 acl:relcl _ _ 43 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **join** | present | a blend | parts of two words | | | | | vn mix-22.1-2-1 «NP V NP»: agent=Agent part=Patient | | 2 | **is** | present | | | | major dictionaries | now | | tree rules | 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:8`. **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 ×3, R7-rel-agree ×6. **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: [Building words: prefixes, suffixes and…, 7](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/7/) - next →: [Building words: prefixes, suffixes and…, 9](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/9/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/language/37-building-words-prefixes-suffixes-and-compounds/)