Built by Maven

SltToTextGrid

Converts SALT .slt transcripts to Praat .TextGrid files

Praat doesn't support meta-data like Dob, Doe, Ethnicity, etc. so almost all SALT header meta-data is lost when converting to .eaf.

By default, inline annotations (mazes, codes, bound morphemes, etc.) are not interpreted and appear as-is in the TextGrid. If you want them to be parse (i.e. annotations removed to yield more standard orthography), use –parseInlineConventions

Deserializing from “SALT transcript” text/x-salt

Command-line configuration parameters for deserialization:
--cUnitLayer=cunit Layer for marking c-units
--targetParticipantLayer=main_participant Layer for marking the target participant
--commentLayer=comment Layer for comments
--parentheticalLayer=parenthetical Layer for marking parenthetical remarks by the speaker
--properNameLayer=entity Layer for tagging proper names
--repetitionsLayer=repetition Layer for annotating repetitions
--rootLayer=root Layer for tagging words with their root form
--errorLayer=error Layer for marking errors
--soundEffectLayer=noise Layer for marking non-word verbal sound effects
--pauseLayer=pause Layer for marking pauses in speech
--boundMorphemeLayer=bound_morpheme Layer for marking bound morpheme annotations
--mazeLayer=maze Layer for marking false starts, repetitions, and reformulations
--partialWordLayer=partial_word Layer for marking stuttered or interrupted words
--omissionLayer=omission Layer for marking missing words
--codeLayer=code Layer for non-error codes
--languageLayer=transcript_language Layer for recording the language of the speech
--participantIdLayer=participant_id Layer for recording the target participant's ID
--genderLayer=participant_gender Layer for recording the gender of the target participant
--dobLayer=participant_dob Layer for recording the birth date of the target participant
--doeLayer=transcript_doe Layer for recording the date the recording was elicited
--caLayer=transcript_ca Layer for recording the target participant's age when recorded
--ethnicityLayer=participant_ethnicity Layer for recording the ethnicity of the target participant
--contextLayer=transcript_context Layer for recording the sampling context
--subgroupLayer=transcript_subgroup Layer for recording the sub-group/story
--collectLayer=transcript_collect Layer for recording the collection point of the elicitation
--locationLayer=transcript_location Layer for recording the location of the elicitation
--dateFormat=d/M/yyyy Format used in SALT files for dates (e.g. Dob, Doe) - either M/d/yyyy or d/M/yyyy. NB: the default date format is inferred from your locale settings
--parseInlineConventions=false Whether to use SALT in-line conventions when deserializing. If false, then only meta-data headers, comment lines, and time stamps are parsed; all in-line annotation conventions are left as-is

Serializing to “Praat TextGrid” text/praat-textgrid

Command-line configuration parameters for serialization:
--commentLayer=comment Commentary
--noiseLayer=Layer Noise annotations
--lexicalLayer=Layer Lexical tags
--pronounceLayer=Layer Manual pronunciation tags
--renameParticipantsMatching=String A regular expression identifying participants that should be renamed using renameParticipantsTo - e.g. S([0-9])
--renameParticipantsTo=String A pattern specifying how participants identified by renameParticipantsTo should be renamed - may contain capturing group referencs like $1, or ${id}/${filename} for the filename without/with extension - e.g. ${id}-$1
--allowPeerOverlap=false Allows TextGrids with, for example, multiple segment tiers, if the underlying annotations are invalid and have overlapping segments.
--utteranceThreshold=0.5 Minimum inter-word pause to trigger an utterance boundary, when no utterance layer is mapped. 0 means ‘do not infer utterance boundaries’.
--useConventions=false Whether to use text conventions for comment, noise, lexical, and pronounce annotations
--ignoreLabels=String Regular expression for annotation to ignore, e.g. <p:> to ignore MAUS pauses
--includeMetaData=false Whether to include transcript attributes as one-annotation tiers or ignore them