def get_normalisation_coefficient(sample_size):
    """
    Returns a multiplicator for normalising entropy
    estimated on the sample based on the size of the sample.
    The coefficients were estimated empirically based
    on bootstrap resampling.
    """
    if sample_size < 55:
        raise ValueError('No coefficients were estimated for sample sizes < 55')
    elif sample_size >= 55 and sample_size < 60:
        # 55-59        1.04    (2 langs)
        return 1.04
    elif sample_size >= 60 and sample_size < 70:
        # 60-69        1.03    (1 lang)
        return 1.03
    elif sample_size >= 70 and sample_size < 79:
        # 70-78        1.02    (0 langs)
        return 1.02
    elif sample_size >= 79 and sample_size < 93:
        # 79-92        1.01    (5 langs)
        return 1.01
    elif sample_size >= 110:
        # 110-130    0.99
        return 0.99
    else:
        # 93-109      1.00
        return 1