pepper.language.language module¶

class pepper.language.language.Chat(speaker, context)[source]¶

Bases: object

add_utterance(hypotheses, me)[source]¶

Add Utterance to Conversation

Parameters:	hypotheses (list of UtteranceHypothesis) –
Returns:	utterance
Return type:	Utterance

context¶: returns: context – Context :rtype: Context

id¶: returns: id – Unique (random) identifier of this chat :rtype: int

last_utterance¶: returns: last_utterance – Most recent Utterance :rtype: Utterance

speaker¶: returns: speaker – Name of speaker (a.k.a. the person Pepper has a chat with) :rtype: str

utterances¶: returns: utterances – List of utterances that occurred in this chat :rtype: list of Utterance

class pepper.language.language.Emotion[source]¶

Bases: enum.Enum

ANGER = 0¶

DISGUST = 1¶

FEAR = 2¶

HAPPINESS = 3¶

SADNESS = 4¶

SURPRISE = 5¶

class pepper.language.language.Parser(utterance)[source]¶

Bases: object

CFG_GRAMMAR_FILE = u'C:\\Users\\Pepper\\Documents\\Pepper\\pepper\\pepper\\language\\data\\cfg_new.txt'¶

POS_TAGGER = None¶

constituents¶

forest¶

class pepper.language.language.Time[source]¶

Bases: enum.Enum

FUTURE = 1¶

PAST = -1¶

PRESENT = 0¶

class pepper.language.language.Utterance(chat, hypotheses, me, turn)[source]¶

Bases: object

analyze()[source]¶: Determines the type of utterance, extracts the RDF triple and perspective attaching them to the last utterance :param chat:

casefold(format=u'triple')[source]¶: Format the labels to match triples or natural language :param format:

chat¶: returns: chat – Utterance Chat :rtype: Chat

chat_speaker¶: returns: speaker – Name of speaker (a.k.a. the person Pepper has a chat with) :rtype: str

confidence¶: returns: confidence – Utterance Confidence :rtype: float

context¶: returns: context – Context (a.k.a. people, objects and other detections ) :rtype: Context

datetime¶

language¶: returns: language – Original language of the Transcript :rtype: str

me¶: returns: me – True if Robot spoke, False if Person Spoke :rtype: bool

pack_perspective(persp)[source]¶

pack_triple(rdf, utterance_type)[source]¶: Sets utterance type, the extracted triple and (in future) the perspective :param rdf: :param utterance_type:

parser¶: returns: parsed_tree :rtype: ntlk Tree generated by the CFG parser

perspective¶: returns: perspective – NLP features related to the utterance :rtype: Perspective

replace_token(tokens_raw, old, new)[source]¶

set_perspective(perspective)[source]¶

set_triple(triple)[source]¶

tokens¶: returns: tokens – Tokenized transcript :rtype: list of str

transcript¶: returns: transcript – Utterance Transcript :rtype: str

triple¶: returns: triple – Structured representation of the utterance :rtype: Triple

turn¶: returns: turn – Utterance Turn :rtype: int

type¶: returns: type – Whether the utterance was a statement, a question or an experience :rtype: UtteranceType

pepper.language.language.getrandbits(k) → x. Generates a long int with k random bits.¶