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	Fix class mapping for morphologizer
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			@ -1066,16 +1066,20 @@ FEATURES = [
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FEATURE_NAMES = {get_string_id(name): name for name in FEATURES}
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FEATURE_FIELDS = {feature: FIELDS[feature.split('_', 1)[0]] for feature in FEATURES}
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FIELD_SIZES = Counter(FEATURE_FIELDS.values())
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for field in FIELD_SIZES:
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    FIELD_SIZES[field] += 1
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for feat_id, name in FEATURE_NAMES.items():
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    FEATURE_FIELDS[feat_id] = FEATURE_FIELDS[name]
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FIELD_SIZES = Counter(FEATURE_FIELDS.values())
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# Mapping of feature names to their position in total vector
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FEATURE_OFFSETS = {}
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# Mapping of field names to their first position in total vector.
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FIELD_OFFSETS = {}
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_seen_fields = Counter()
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for i, feature in enumerate(FEATURES):
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    field = FEATURE_FIELDS[feature]
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    FEATURE_OFFSETS[feature] = _seen_fields[field]
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    # Add 1 for the NIL class, on each field
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    FEATURE_OFFSETS[feature] = _seen_fields[field] + 1
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    if _seen_fields[field] == 0:
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        FIELD_OFFSETS[field] = i
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    _seen_fields[field] += 1 
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			@ -88,7 +88,7 @@ class Morphologizer(Pipe):
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                    if doc_guesses[j, k] == 0:
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                        doc_feat_ids[j, k] = 0
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                    else:
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                        doc_feat_ids[j, k] = offset + doc_guesses[j, k]
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                        doc_feat_ids[j, k] = offset + (doc_guesses[j, k]-1)
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                # Get the set of feature names.
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                feats = {FEATURES[f] for f in doc_feat_ids[j] if f != 0}
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                # Now add the analysis, and set the hash.
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