--- title: This man led me home and said to me, while we were walking along, ‘I… — Winning Buddha's smile · tree and pragmatics description: This man led me home and said to me, while we were walking along, ‘I predict to you that you will no longer be blind and that some day you will become the King’s Prime Minister.’ Who acts: man, we, I, you. A sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 2, with its dependency tr --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/tales/pg78208/4/131/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [tales](https://md.mova.elamur.ai/free/en/corpora/tales/) / [Winning Buddha's smile](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/) / [Winning Buddha’s Smile, part 2](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/4/) / 131 # Winning Buddha's smile, Winning Buddha’s Smile, part 2, sentence 131 This man led me home and said to me, while we were walking along, ‘I predict to you that you will no longer be blind and that some day you will become the King’s Prime Minister.’ **Who acts:** man, we, I, you, day · **What happens:** lead, say, walk, predict, be, become · **To what, where:** me, you · **Speech:** someone speaks here This is a sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 2. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (man, we, I, you), what happens, when and where, as Mova's frames read it from the tree. **Mova's own parse.** This tree may be wrong. ## The tree {#tree} ```conllu # sent_id = book:pg78208:4:132 # text = This man led me home and said to me, while we were walking along, ‘I predict to you that you will no longer be blind and that some day you will become the King’s Prime Minister.’ 1 This this DET DT Number=Sing|PronType=Dem 2 det _ _ 2 man man NOUN NN Number=Sing 3 nsubj _ _ 3 led lead VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 me I PRON PRP Case=Acc|Number=Sing|Person=1|PronType=Prs 3 obj _ _ 5 home home ADV RB _ 3 advmod _ _ 6 and and CCONJ CC _ 7 cc _ _ 7 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 8 to to ADP IN _ 9 case _ _ 9 me I PRON PRP Case=Acc|Number=Sing|Person=1|PronType=Prs 7 obl _ SpaceAfter=No 10 , , PUNCT , _ 14 punct _ _ 11 while while SCONJ IN _ 14 mark _ _ 12 we we PRON PRP Case=Nom|Number=Plur|Person=1|PronType=Prs 14 nsubj _ _ 13 were be AUX VBD Mood=Ind|Number=Plur|Person=1|Tense=Past|VerbForm=Fin 14 aux _ _ 14 walking walk VERB VBG Tense=Pres|VerbForm=Part 7 advcl _ _ 15 along along ADV RB _ 14 advmod _ SpaceAfter=No 16 , , PUNCT , _ 19 punct _ _ 17 ‘ ' PUNCT `` _ 19 punct _ SpaceAfter=No 18 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 19 nsubj _ _ 19 predict predict VERB VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 7 conj _ _ 20 to to ADP IN _ 21 case _ _ 21 you you PRON PRP Case=Acc|Person=2|PronType=Prs 19 obl _ _ 22 that that SCONJ IN _ 28 mark _ _ 23 you you PRON PRP Case=Nom|Person=2|PronType=Prs 28 nsubj _ _ 24 will will AUX MD VerbForm=Fin 28 aux _ _ 25 no no ADV RB _ 26 advmod _ _ 26 longer long ADV RBR Degree=Cmp 28 advmod _ _ 27 be be AUX VB VerbForm=Inf 28 cop _ _ 28 blind blind ADJ JJ Degree=Pos 19 advcl _ _ 29 and and CCONJ CC _ 35 cc _ _ 30 that that SCONJ IN _ 35 mark _ _ 31 some some DET DT PronType=Ind 32 det _ _ 32 day day NOUN NN Number=Sing 35 nsubj _ _ 33 you you PRON PRP Case=Nom|Person=2|PronType=Prs 35 nsubj _ _ 34 will will AUX MD VerbForm=Fin 35 aux _ _ 35 become become VERB VB VerbForm=Inf 28 conj _ _ 36 the the DET DT Definite=Def|PronType=Art 37 det _ _ 37 King King PROPN NNP Number=Sing 40 nmod:poss _ SpaceAfter=No 38 ’s 's PART POS _ 37 case _ _ 39 Prime Prime PROPN NNP _ 40 compound _ _ 40 Minister Minister PROPN NNP Number=Sing 35 xcomp _ SpaceAfter=No 41 . . PUNCT . _ 3 punct _ SpaceAfter=No 42 ’ ' PUNCT '' _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **lead** | past | this man | me | | | | home *property* | vn accompany-51.7 «NP V NP»: agent=Agent i=Theme | | 2 | **say** *speech: assert* | past | this man *not said here* | | me | | | | vn say-37.7-1-1 «NP V PP.recipient S-Quote»: agent=Agent to i=Recipient | | 3 | **walk** | past · progressive | we | | | | | along *property* | vn run-51.3.2-2-1 «NP V»: agent=Theme | | 4 | **predict** | present | I | | you | | | | vn indicate-78 «NP V how S»: agent=Pivot | | 5 | **is** | future | you | | | | | blind, long *property* | tree rules | | 6 | **become** | future | some day | | | | | you *nsubj*; the King's Prime Minister *xcomp* | vn become-109.1-1-1 «NP V PP.attribute»: agent=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. **Text:** «Winning Buddha's smile», Project Gutenberg book 78208 (public domain in the USA). **Tree:** Mova's own parse, Elamur Cosmic License. **Frames:** Mova's frames reader (`prag`), the chapter read in order. - ← previous: [sentence 130](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/4/130/) - next →: [sentence 132](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/4/132/) - ↑ back to [Winning Buddha’s Smile, part 2](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/4/)